Engineering Manager jobs at Reddit

Since 1995, Red Oak Technologies has been a trusted partner in the tech industry, delivering innovative talent solutions that drive progress. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management based resources. “NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client's specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).” Engineering Project Manager Culver City, CA 12 months + possible ext Job details: We are seeking a highly motivated and experienced Engineering Project Manager to join our dynamic team. Responsibilities: Technical Liaison: Serve as the primary point of contact between business, product, and engineering teams. Understand and interpret business requirements, translate them into actionable engineering tasks, and communicate technical details, options, and limitations back to product and business stakeholders in a clear and concise manner. Project Management: Independently manage complex, cross-functional engineering projects with tight deadlines, ensuring projects are delivered on time, within budget, and to the required quality standards. Communication & Collaboration: Facilitate effective communication and collaboration between cross-functional teams, including product management, engineering, QA, and operations. Risk Management: Identify, assess, and mitigate potential risks and issues that could impact project timelines or deliverables. Resource Management: Work with technical leads to ensure appropriate resource allocation for projects. Documentation: Maintain accurate and up-to-date project documentation, including project plans, status reports, and meeting minutes. Stakeholder Management: Effectively manage stakeholder expectations and communicate project status updates on a regular basis. Time Zone Management: Effectively manage and coordinate with engineering teams located in different time zones, ensuring efficient workflow and communication. Decision Making: Help the teams make informed decisions based on technical understanding, business priorities, and project requirements. SDLC Process Improvement: Help define, implement, and continuously improve our SDLC processes, ensuring efficiency, transparency, and Collaboration.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit ****************** Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there's a community for everybody on Reddit. For more information, visit redditinc.com. Reddit is continuing to grow our teams with the best talent. This role offers flexibility and is remote-friendly, However, it is important that the candidate is based in the proximity of the SF Bay Area office (Pacific time) or the NYC office (Eastern time). Ads Data Platform team's mission is to build a performant, reliable and efficient platform and end-user tools for the collection, storage, management, and analysis of Reddit Ads data to support data-intensive applications and data-driven decisions at scale. We are aiming to integrate and simplify the data usage patterns across Ads, remove redundancies/fragmentation, centralize reusable components/tools, drive adoption of Reddit shaped core-infra owned services/design patterns, leading to more efficient Ads data systems and higher developer velocity. In pursuit of the team mission, we follow a 3 pronged strategy: Unification: Identify and unify/simplify different data usage/integration patterns that are trying to do the same thing, but ownership is fragmented. For e.g. enrichment of a dataset, different teams enrich the same dataset, for their product requirements or different teams are trying to set up similar data processing tools. Centralization: Based on the simplification of data usage patterns, tease out the reusable tools/components, and build/own them for the entire Ads engineering. Reuse core-infrastructure supported tools/services. For e.g. for batch data processing, spark hosted on kubernetes, instead of each team bootstrapping their own spark instances, Data Platform owns the spark infra horizontally. Optimization: Focus on efficiency, both on development life-cycle and resource usage. Drive adoption and migration towards a more optimized data infrastructure, for all of Ads engineering. Key guiding principles, that we adhere to, as we evolve the data infrastructure for Reddit Ads: Build on top of Reddit Core Infrastructure, avoiding duplication of effort. Explore/facilitate hand-over of services/components, as the scope of usage expands outside of Ads. Ensure Reddit shaped architecture, following the best practices shared by DevX and Core Infrastructure Look to the open source world: there are a lot of good resources for data infrastructure in the open source community and we try to adopt those systems Prefer in-house solutions, over vendor provided infrastructure solutions, as far as possible. Deviations should have a good cost or business driven reason. Scalability and Reliability are central to our services. We constantly balance the business needs for speed against architecting a more reliable and scalable infrastructure. Efficiency, all our architecture and design, is done with efficiency and machine costs in mind. Strategic Focus Areas Data Infrastructure Platform and tools for the collection, storage, management, and analysis of Reddit Ads data Reliability & Efficiency Reliability: Systems maturity: measurement and tracking Reliability: Developer efficiency and reduction of operational burden Efficiency: Efficient and scalable Ads foundation What we own Reliability & Efficiency Ads Marketplace level KPI monitoring framework (ReMeDe/MMS) Big Query Ads project management/slot usage for Ads Optimal data storage/db for DS owned Ads DW AWS & GCP usage, observability, costs, allocations, optimization Data Infrastructure Spark on kubernetes Kafka Connect (s3/GCS writers) Ads Airflow Anomaly detection framework Data Integration tools (SFDC Data Integrator etc) Apache druid database hosted on kubernetes Enable druid integration with Ads services like billing/pacing/reporting Druid ingestion pipelines (real time and batch) Data Access Control We are looking for a seasoned Engineering Manager with industry-relevant platform or infrastructure expertise to lead the Ads Infrastructure team with engineers spread across US East & West coast Responsibilities Coach, Motivate, Build, Hire, and Lead a world-class team of passionate Infrastructure engineers with a knack for high scale/high performance data pipelines and storage systems Lead, coordinate, and execute a coherent vision for a ruthlessly prioritized infrastructure roadmap based on business needs Set and support a culture of data-informed decision making, with efficient processes and strong transparency Facilitate the collaboration between the different product/vertical teams making use of Ads Infrastructure and the partner and core platform teams across Reddit Participating in design and coding reviews: You will review work by your team members and provide feedback to ensure that it meets the team's standards for quality, performance and best practices Collaborating with cross-functional team leads (EMs, PMs, DSs) to understand business requirements and translate them into technical directions for the Ads Infrastructure roadmap in conjunction with the rest of the Ads Foundations teams Required Qualifications: 8+ years of industry experience as a SWE 3+ years managing (including coaching, mentoring, developing) engineering teams 2+ years in the capacity of tech lead in charge of systems & architecture design Experience with at least two general programming languages such as Python, Go, Scala, Java, C++ Preferred experience in one or more of the following areas: Message Queuing Services (Kafka, Amazon Simple Queue Service), Data Processing Frameworks (Apache Spark, Apache Flink), Key Value Stores (Redis, DynamoDB, Memcached, Riak), Document based DBs (MongoDB, Cassandra), Container Orchestration (Kubernetes, Mesos), ML Ops ((ML | Tensor | Kube)flow) Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders Preferred Qualifications: Experience managing data-focused teams Experience with Ads Experience with Technical Program Management Industry relevant or scientific contribution in the field of DevOps, Infrastructure, High scalability/Big Data systems Benefits Comprehensive Healthcare Benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Wellness Days 4+ months paid Parental Leave Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit *********************************** To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$217,000-$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We're looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You'll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest's business success. What you'll do: Manage and grow the engineering team, providing technical vision and long-term roadmap Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales - translating business goals into ML requirements and ensuring solutions meet cross-functional needs Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features) What we're looking for: M.S/ PhD degree in Computer Science, Statistics or related field 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization Excellent at cross-functional collaboration and stakeholder communication Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$294,000-$514,500 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We're looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You'll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest's business success. What you'll do: * Manage and grow the engineering team, providing technical vision and long-term roadmap * Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP * Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales - translating business goals into ML requirements and ensuring solutions meet cross-functional needs * Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features) What we're looking for: * M.S/ PhD degree in Computer Science, Statistics or related field * 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing * Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization * Excellent at cross-functional collaboration and stakeholder communication Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $294,000-$514,500 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: LinkedIn's Core AI organization is dedicated to transforming the professional world through innovative solutions, including advanced models, agents, and AI systems. Our 'HALO' Evaluation Engineering team builds core technology that powers LinkedIn's model and agent evaluation ecosystem. This is a horizontal and deeply cross-functional team empowering product, linguists, and operations partners to evaluate new AI solutions quickly, efficiently, and at scale. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Responsibilities: * Provide direct leadership for a team of 5-7 engineers. * Work closely with various other teams across LinkedIn to align on initiatives, leveraging existing solutions, and ensure optimal collaboration. * Participate in and facilitate technical and design discussions * Contribute to the hands-on execution of technical solutions (coding, design, etc.). * Leverage best practices & processes to ensure productivity of the team and drive faster iterations * Attract world class talent and provide technical guidance, career development, and mentoring to team members. Qualifications Basic Qualifications: * 5+ years of related industry experience in software/platform design, development, and related solutions * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * BA/BS in Computer Science or other technical discipline, or related practical technical experience Preferred Qualifications: * 2+ years of experience as a Technical Lead (Staff or Manager) * 7+ years of overall experience including prior work with AI operations or related solutions. * Experience building enterprise grade data platforms * MS or PhD in Computer Science, Machine Learning, Statistics or related fields Suggested Skills: * Technical Leadership * AI Infrastructure * Platform Engineering You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 - $277,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Team Overview:** The Notification AI team builds large-scale, high-quality machine learning systems that deliver the right content to the right member, through the right channel, at the right time-and at the right frequency. Our mission is to maintain a healthy, relevant, and delightful notification ecosystem that helps members achieve their professional goals while ensuring every interaction provides meaningful value. We power AI-driven systems that target, rank, and make decisions across LinkedIn's notification portfolio, enabling product teams to deliver member value efficiently and responsibly. Notifications AI directly shapes the value members get from the platform, driving over 50% of total engagement on LinkedIn and helping millions of professionals reconnect with opportunities that matter. Our work spans large language models, recommendation systems, and scalable architectures that deepen LinkedIn's understanding of members-their skills, journeys, and evolving intent-so we can surface the most relevant content, jobs, and connections to help them grow their professional networks meaningfully. The team has an ambitious roadmap and partners closely with Product, Engineering, and Data Science to deliver scalable, leverageable AI solutions with global member impact. If you're looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge research and real-world impact-and have fun while doing it-Notifications AI is the place for you! **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This job is based in Sunnyvale, CA. **Key Responsibilities:** Lead a team of AI Scientists/Engineers to build scalable notification recommendation systems at Linkedin. We're looking for a technical manager with strong leadership, technical vision, and collaboration skills to drive impact and build great team culture. **Lead and inspire the team:** Manage and grow a high-performing team of researchers/applied scientists, and engineers. Attract, mentor, and develop diverse talent while fostering an inclusive, collaborative environment where people feel empowered to share ideas, take smart risks, and grow into technical leaders. **Set strategy and direction** : Translate product and business needs into a clear, focused technical roadmap. Ensure the team's day-to-day work aligns with LinkedIn's mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy. **Advance state-of-the-art recommender systems:** Lead the team in developing and deploying scalable retrieval and ranking systems powered by large language models (LLMs) and advanced ML solutions to optimize notification timing and delivery decisions. Leverage LinkedIn's rich data ecosystem to ground model outputs, improve relevance, and strengthen end-to-end notification quality. As a hands-on technical manager, guide critical technical decisions and collaborate closely with technical leaders across the organization. **Ensure scalability and efficiency:** Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization, adaptive caching, and parameter-efficient fine-tuning. Maintain high standards for reliability, scalability, and latency. **Drive alignment and cross-functional collaboration:** Work closely with partner teams to identify shared opportunities, align on long-term goals, and maintain consistent progress. Address misalignments proactively with clarity, empathy, and data-driven reasoning. **Promote innovation and high-quality execution:** Create a culture that encourages experimentation, curiosity, and continuous improvement. Ensure the team adheres to strong engineering and scientific practices, enabling rapid iteration through A/B testing and rigorous evaluation. **Basic Qualifications:** + BA/BS in Computer Science or other technical discipline, or related practical technical experience + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + 5+ years of related industry experience in software design, development, and algorithm related solutions + 1+ years of experience in software engineering/technical engineering management and people management + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + Hands on experience in data modeling and machine learning **Preferred Qualifications:** + Master's degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related field + Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline + Strong technical background and experience leading teams in Machine Learning, LLMs, Retrieval systems, Large-model optimization, On-device ML + Experience designing and deploying large-scale recommender systems + Published work in academic or industry forums + 7+ years of industry experience **Suggested Skills:** + Large-scale AI problem + Technical background + Strategic thinking + Machine Learning, Big Data and Deep Learning **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. -- Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* . **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: The Notification AI team builds large-scale, high-quality machine learning systems that deliver the right content to the right member, through the right channel, at the right time-and at the right frequency. Our mission is to maintain a healthy, relevant, and delightful notification ecosystem that helps members achieve their professional goals while ensuring every interaction provides meaningful value. We power AI-driven systems that target, rank, and make decisions across LinkedIn's notification portfolio, enabling product teams to deliver member value efficiently and responsibly. Notifications AI directly shapes the value members get from the platform, driving over 50% of total engagement on LinkedIn and helping millions of professionals reconnect with opportunities that matter. Our work spans large language models, recommendation systems, and scalable architectures that deepen LinkedIn's understanding of members-their skills, journeys, and evolving intent-so we can surface the most relevant content, jobs, and connections to help them grow their professional networks meaningfully. The team has an ambitious roadmap and partners closely with Product, Engineering, and Data Science to deliver scalable, leverageable AI solutions with global member impact. If you're looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge research and real-world impact-and have fun while doing it-Notifications AI is the place for you! Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This job is based in Sunnyvale, CA. Key Responsibilities: Lead a team of AI Scientists/Engineers to build scalable notification recommendation systems at Linkedin. We're looking for a technical manager with strong leadership, technical vision, and collaboration skills to drive impact and build great team culture. Lead and inspire the team: Manage and grow a high-performing team of researchers/applied scientists, and engineers. Attract, mentor, and develop diverse talent while fostering an inclusive, collaborative environment where people feel empowered to share ideas, take smart risks, and grow into technical leaders. Set strategy and direction: Translate product and business needs into a clear, focused technical roadmap. Ensure the team's day-to-day work aligns with LinkedIn's mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy. Advance state-of-the-art recommender systems: Lead the team in developing and deploying scalable retrieval and ranking systems powered by large language models (LLMs) and advanced ML solutions to optimize notification timing and delivery decisions. Leverage LinkedIn's rich data ecosystem to ground model outputs, improve relevance, and strengthen end-to-end notification quality. As a hands-on technical manager, guide critical technical decisions and collaborate closely with technical leaders across the organization. Ensure scalability and efficiency: Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization, adaptive caching, and parameter-efficient fine-tuning. Maintain high standards for reliability, scalability, and latency. Drive alignment and cross-functional collaboration: Work closely with partner teams to identify shared opportunities, align on long-term goals, and maintain consistent progress. Address misalignments proactively with clarity, empathy, and data-driven reasoning. Promote innovation and high-quality execution: Create a culture that encourages experimentation, curiosity, and continuous improvement. Ensure the team adheres to strong engineering and scientific practices, enabling rapid iteration through A/B testing and rigorous evaluation. Qualifications Basic Qualifications: * BA/BS in Computer Science or other technical discipline, or related practical technical experience * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * 5+ years of related industry experience in software design, development, and algorithm related solutions * 1+ years of experience in software engineering/technical engineering management and people management * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * Hands on experience in data modeling and machine learning Preferred Qualifications: * Master's degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related field * Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline * Strong technical background and experience leading teams in Machine Learning, LLMs, Retrieval systems, Large-model optimization, On-device ML * Experience designing and deploying large-scale recommender systems * Published work in academic or industry forums * 7+ years of industry experience Suggested Skills: * Large-scale AI problem * Technical background * Strategic thinking * Machine Learning, Big Data and Deep Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. * - Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. About The Team Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: * Proactive Governance & Engineering Alignment * Scaled Lifecycle & Integrated Controls * Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Security, AI Compliance, Infrastructure Risks, Privacy - these include but not limited to: SOC 2, PCI, ISO, CRA, NIS2. EU AI Act. Additionally you will also partner closely on leading: Content (e.g. DSA), Competition (e.g. DMA), Finance (e.g. SOX) and Enterprise Risk horizontals You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities * Lead & Mentor: * Lead and mentor a high-performing team of risk and compliance engineers. * Foster a culture of trust, inclusion, and technical excellence. * Provide strategic direction, career development, and performance coaching. * Program Ownership: * Partner closely across engineering teams to proactively build compliance as part of system design * Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. * Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. * Strategic Partnership * Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting * Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org * Audit & Stakeholder Engagement * Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings * Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews * Regulatory Monitoring & Impact Analysis * Monitor emerging regulations and translate them into actionable engineering and process changes. * Conduct risk assessments and regulatory impact analyses. * Metrics & Governance * Define and report compliance metrics, risks, and trends. * Participate in governance forums and certification steering committees. * Incident & Remediation Management * Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. * Ensure sustainable long-term solutions for compliance-related issues. * Training & Enablement * Sponsor and oversee training programs for engineering teams. * Ensure control owners and developers understand their compliance responsibilities. * Drive awareness through onboarding, quarterly reviews, and enablement sessions. Qualifications Basic Qualifications * BA/BS in Computer Science, Engineering, Applied Math, or related technical discipline (or equivalent practical experience). * 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * 2+ Experience senior level stakeholder management and cross functional collaboration * Experience leading security compliance programs and related certifications like SOC 2, PCI, ISO, BCMS, Privacy * Experience with security, engineering systems and processes * Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. * Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications * MS in MIS, MBA, or related advanced degree. * 4+ years of leadership experience managing engineering or compliance teams. * 12+ years of engineering compliance or systems audit experience in the technology sector. * Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. * Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). * Demonstrated success in building and scaling automated compliance solutions in engineering environments. * Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. * Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience * Leadership in IT / Systems Technology Compliance & Audit * Technology Risk Assessment & Regulatory Impact Analysis * Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems * Financial reporting and revenue compliance in technology contexts * Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. About the team Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: + Proactive Governance & Engineering Alignment + Scaled Lifecycle & Integrated Controls + Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Security, AI Compliance, Infrastructure Risks, Privacy - these include but not limited to: SOC 2, PCI, ISO, CRA, NIS2. EU AI Act. Additionally you will also partner closely on leading: Content (e.g. DSA), Competition (e.g. DMA), Finance (e.g. SOX) and Enterprise Risk horizontals You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities + Lead & Mentor: + Lead and mentor a high-performing team of risk and compliance engineers. + Foster a culture of trust, inclusion, and technical excellence. + Provide strategic direction, career development, and performance coaching. + Program Ownership: + Partner closely across engineering teams to proactively build compliance as part of system design + Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. + Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. + Strategic Partnership + Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting + Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org + Audit & Stakeholder Engagement + Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings + Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews + Regulatory Monitoring & Impact Analysis + Monitor emerging regulations and translate them into actionable engineering and process changes. + Conduct risk assessments and regulatory impact analyses. + Metrics & Governance + Define and report compliance metrics, risks, and trends. + Participate in governance forums and certification steering committees. + Incident & Remediation Management + Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. + Ensure sustainable long-term solutions for compliance-related issues. + Training & Enablement + Sponsor and oversee training programs for engineering teams. + Ensure control owners and developers understand their compliance responsibilities. + Drive awareness through onboarding, quarterly reviews, and enablement sessions. Basic Qualifications + BA/BS in Computer Science, Engineering, Applied Math, or related technical discipline (or equivalent practical experience). + 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + 2+ Experience senior level stakeholder management and cross functional collaboration + Experience leading security compliance programs and related certifications like SOC 2, PCI, ISO, BCMS, Privacy + Experience with security, engineering systems and processes + Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. + Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications + MS in MIS, MBA, or related advanced degree. + 4+ years of leadership experience managing engineering or compliance teams. + 12+ years of engineering compliance or systems audit experience in the technology sector. + Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. + Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). + Demonstrated success in building and scaling automated compliance solutions in engineering environments. + Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. + Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience + Leadership in IT / Systems Technology Compliance & Audit + Technology Risk Assessment & Regulatory Impact Analysis + Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems + Financial reporting and revenue compliance in technology contexts + Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: + Proactive Governance & Engineering Alignment + Scaled Lifecycle & Integrated Controls + Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Finance, Completion (e.g. DMA) , Content (e.g. DSA), AI - these include but not limited to: SOX, Non Financial Disclosure Metrics, MRC Certification, AI regulations, Enterprise Risks. Additionally you will also partner closely on: Security, AI Compliance, Infrastructure Risks, Privacy regulatory compliance programs and certifications. You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities + Lead & Mentor: + Lead and mentor a high-performing team of risk and compliance engineers. + Foster a culture of trust, inclusion, and technical excellence. + Provide strategic direction, career development, and performance coaching. + Program Ownership: + Partner closely across engineering teams to proactively build compliance as part of system design + Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. + Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. + Strategic Partnership + Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting + Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org + Audit & Stakeholder Engagement + Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings + Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews + Regulatory Monitoring & Impact Analysis + Monitor emerging regulations and translate them into actionable engineering and process changes. + Conduct risk assessments and regulatory impact analyses. + Metrics & Governance + Define and report compliance metrics, risks, and trends. + Participate in governance forums and certification steering committees. + Incident & Remediation Management + Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. + Ensure sustainable long-term solutions for compliance-related issues. + Training & Enablement + Sponsor and oversee training programs for engineering teams. + Ensure control owners and developers understand their compliance responsibilities. + Drive awareness through onboarding, quarterly reviews, and enablement sessions. Basic Qualifications + BA/BS in Computer Science, Engineering, Accounting, or related technical discipline (or equivalent practical experience). + 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training + 2+ Experience senior level stakeholder management and cross functional collaboration + Experience leading regulatory compliance programs like DMA, SOX, AI and / or related compliance programs + Experience with engineering systems and processes + Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. + Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications + MS in MIS, MBA, or related advanced degree. + 4+ years of leadership experience managing engineering or compliance teams. + 12+ years of engineering compliance or systems audit experience in the technology sector. + Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. + Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). + Demonstrated success in building and scaling automated compliance solutions in engineering environments. + Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. + Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience + Leadership in IT / Systems Technology Compliance & Audit + Technology Risk Assessment & Regulatory Impact Analysis + Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems + Financial reporting and revenue compliance in technology contexts + Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn's Mountain View campus. Governance, Risk, Automation, Compliance & Engineering: Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. Our commitment to our customers and members isn't just a statement; it's engineered into our culture of security and compliance through these foundational pillars: * Proactive Governance & Engineering Alignment * Scaled Lifecycle & Integrated Controls * Assured Ecosystem & Quantified Risk Management Role Summary LinkedIn is seeking a strategic and technical Manager for Engineering Compliance to lead a team focussed on the full lifecycle of building and overseeing compliance across the enterprise. This leadership role will be key to strengthening and scaling LinkedIn's compliance posture through embedding compliance and security into products and engineering systems. The role will focus on various global regulatory frameworks and certifications. Primary focus will be the full compliance lifecycle related to these horizontals: Finance, Completion (e.g. DMA) , Content (e.g. DSA), AI - these include but not limited to: SOX, Non Financial Disclosure Metrics, MRC Certification, AI regulations, Enterprise Risks. Additionally you will also partner closely on: Security, AI Compliance, Infrastructure Risks, Privacy regulatory compliance programs and certifications. You will guide a team of compliance engineers and analysts, and collaborate cross functionally with engineering, product, legal, partner compliance teams, finance, sales and enterprise teams to establish and scale compliance engineering programs across the company. You will be crucial in aligning our engineering compliance strategy with LinkedIn's overarching business objectives, fostering a culture where compliance is integrated seamlessly into system design and engineering practices. Key Responsibilities * Lead & Mentor: * Lead and mentor a high-performing team of risk and compliance engineers. * Foster a culture of trust, inclusion, and technical excellence. * Provide strategic direction, career development, and performance coaching. * Program Ownership: * Partner closely across engineering teams to proactively build compliance as part of system design * Own and deliver regulatory programs, including regulations covering AI regulations and standards, Competition (DMA), Finance (SOX, Non Financial Metrics), Product Certifications (e.g. MRC), Privacy and emerging frameworks. * Lead team to deliver on multiple compliance and regulatory programs - which includes: establishing compliance programs for new regulations or major systems, compliance readiness assessments, audits and certifications. * Strategic Partnership * Collaborate with engineering, product, finance, legal, and security teams for end to end compliance lifecycle from obligation requirements, translation to technical roadmap all the way through controls assurance and reporting * Build partnership with cross functional teams for compliance to help address the risks optimally, and drive planning for compliance across org * Audit & Stakeholder Engagement * Lead the team for pre-audit preparation with engineering owners and stakeholders, drive org wide trainings * Drive engineering compliance collaboration for audits and represent engineering controls and posture during audits, certifications and reviews * Regulatory Monitoring & Impact Analysis * Monitor emerging regulations and translate them into actionable engineering and process changes. * Conduct risk assessments and regulatory impact analyses. * Metrics & Governance * Define and report compliance metrics, risks, and trends. * Participate in governance forums and certification steering committees. * Incident & Remediation Management * Build scalable systems for incident tracking, root cause analysis, remediation planning, and verification. * Ensure sustainable long-term solutions for compliance-related issues. * Training & Enablement * Sponsor and oversee training programs for engineering teams. * Ensure control owners and developers understand their compliance responsibilities. * Drive awareness through onboarding, quarterly reviews, and enablement sessions. Qualifications Basic Qualifications * BA/BS in Computer Science, Engineering, Accounting, or related technical discipline (or equivalent practical experience). * 8+ years of relevant experience in technology compliance, engineering risk, or systems audit. * 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training * 2+ Experience senior level stakeholder management and cross functional collaboration * Experience leading regulatory compliance programs like DMA, SOX, AI and / or related compliance programs * Experience with engineering systems and processes * Experience with compliance domains such as Access Management, Change Management, Ads revenue compliance, Information Security, or related technical control environments. * Experience conducting system design reviews, code reviews, or large-scale compliance assessments. Preferred Qualifications * MS in MIS, MBA, or related advanced degree. * 4+ years of leadership experience managing engineering or compliance teams. * 12+ years of engineering compliance or systems audit experience in the technology sector. * Experience managing compliance programs for regulations such as SOX, MRC, DMA, DSA, AI Governance, and international standards like ISO, SOC, GDPR. * Deep understanding of compliance frameworks, controls, and best practices (SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc.). * Demonstrated success in building and scaling automated compliance solutions in engineering environments. * Strong program management skills, with the ability to manage multiple priorities in a fast-paced, high-growth environment. * Professional certifications such as CISSP, CISA, or equivalent. Suggested Skills & Technical Experience * Leadership in IT / Systems Technology Compliance & Audit * Technology Risk Assessment & Regulatory Impact Analysis * Technical fluency in Java, SQL, Hadoop, Azure, Kubernetes, and large-scale distributed systems * Financial reporting and revenue compliance in technology contexts * Strong interpersonal, communication, and influencing skills across technical and non-technical stakeholders You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - 229,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are seeking an exceptional Director of Engineering to lead the Flagship Search organization at LinkedIn. This is a rare opportunity to drive the technical and organizational vision behind the next generation of search products, transforming how millions of professionals discover connections, knowledge, and opportunities. As the engineering leader for Search, you will oversee a team responsible for designing and implementing state-of-the-art search technology stack, building intuitive, personalized, and scalable search experiences. You will lead the integration of cutting-edge AI/ML techniques and large language models (LLMs) into our relevance, retrieval, and ranking systems. In addition to deep technical expertise, this role requires strong people leadership, operational excellence, and the ability to partner closely with Product, AI, Infrastructure, and other cross-functional leaders to deliver business impact at scale. Responsibilities * Lead the Search Organization: Manage and grow a high-performing engineering team to execute on an ambitious product and technical roadmap. * Set Technical Vision: Shape the future of LinkedIn Search by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. * Architect for Scale: Guide the team in building scalable, high-availability infrastructure to handle billions of queries reliably and efficiently. * Drive Product Strategy: Partner closely with product, design, and AI teams to align technical investments with member and business needs. * Foster a High-Performance Culture: Champion engineering best practices, quality, operational rigor, and innovation across the team. * Talent Development: Recruit, mentor, and grow top engineering talent, fostering an inclusive environment where individuals can do their best work. * Cross-Functional Leadership: Influence and collaborate across multiple teams and stakeholders to drive complex, high-impact initiatives forward. * Stay Ahead of Trends: Monitor emerging technologies and industry trends to ensure LinkedIn Search remains an industry leader. Qualifications Basic Qualifications * 10+ years of experience building AI-powered consumer products at scale, with at least 5 years in engineering leadership roles. * Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields * Proven experience leading and scaling engineering teams to deliver consumer-facing search products. * Technical foundation in relevance algorithms, retrieval systems, personalization, and search infrastructure. Preferred Qualifications * Hands-on experience integrating AI/ML and large language models into production search systems. * Track record of influencing technical and product strategy at an organizational level. * Deep understanding of building robust, scalable systems to handle high-velocity, large-scale data and query loads. * Strong leadership and people development skills, with a passion for building inclusive, high-performing teams. * Ability to thrive in ambiguous, high-stakes environments and drive clarity and execution across complex initiatives. Suggested Skills * People Leadership * Search experience * AI/ML experience You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all- levels.- LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. About the Opportunity As an Engineering Director you will be responsible for the development and performance of key parts of our applications - orchestrating the actions of millions of grid-edge devices (from smart thermostats to home batteries to electric vehicles to entire factories) to safeguard the grid and enable its decarbonization. You'll bring your technical expertise and your empathetic leadership to make sure we do that job safely and correctly, and empower our clients to clearly understand and easily use our platform. Your teams do things like: Build interfaces to let humans understand and wield the platform effectively Build automations to protect the grid without human intervention Implement strategies to safeguard grid health Build APIs to integrate with external client systems and internal engineering partners What you will do: Attract, mentor, lead & retain the multiple engineering managers and developers responsible for building and maintaining our system Be an advocate for observability, reliability, equity and safety in all we do Collaborate with the Product team to define our roadmap and surface growth opportunities Work across the entire Engineering team to establish best practices, help identify problems and implement solutions Define and build the team responsible for core applications in line with our overall company objectives Work with Product and others in engineering to model the foundations for feature requests that open us up to new revenue or optimized fulfillment Other duties as assigned Why you want to do it: It's big. With millions of devices and gigawatts of power under management - you'll be fighting climate change at scale. Keeping it simple is hard. We're adding new device types all the time, and leveraging more and more data to develop new strategies for grid stabilization Reliability matters. Your teams' systems control a non-trivial fraction of the North American power grid. It's fun. Work with smart, mission-driven people. Play with cool new green technology. Solve puzzles in org design, system design, usability and more. It's important. Climate change sucks. Our work enables decarbonization of the power grid. Key Skills and Experience: Hands on experience working with large complex systems, message queues, AWS (or other cloud platforms) Demonstrated success managing multiple technical teams Experience with a microservices environment A track record of building relationships with internal and external stakeholders Can read, write, and deploy code, even if you don't do it as much lately Passionate about technology and innovation Strong written and verbal communication skills Preferred Skills and Experience: Passion for the climate space and our mission to decarbonize and stabilize the grid Experience with some of the technologies we use like: Java and Springboot RabbitMQ, SQS, gRPC NoSQL, Redis Postgresql and other relational databases Snowflake, dbt or similar data modeling, transformation and warehouse solutions Experience transitioning to a service-oriented architecture Experience building APIs for external clients IoT experience Experience working in a compliant environment Energy industry experience Why work for EnergyHub? Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other. Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business. Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate. Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what's also important is how our employees feel every single day. Company Information EnergyHub is a growing enterprise software company that works with the most forward-thinking companies in smart energy. Our platform lets consumers turn their smart thermostats, electric cars, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to millions of people through partnerships with the most innovative companies in the Internet of Things. Company Benefits EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program. EnergyHub is an Equal Opportunity Employer EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net. In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. The salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The salary offered is part of a total compensation package. Pay Range$200,000-$225,000 USD

At Nauto, you can make an impact at a high-growth company. Our technology helps prevent collisions and save lives with predictive AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error, and Nauto's technology is designed to predict risk, alert drivers with advance warning, and improve overall road safety. Our customers include some of the largest commercial fleets in the world, along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. Backed by leading investors-including Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank-Nauto is well-positioned for continued success. We're also proud to be featured on the Forbes AI 50 list, recognizing top private companies leveraging AI in transformative ways. Position Overview Nauto is seeking an experienced and visionary Solutions Engineering Director to lead our dynamic and growing Solutions Engineering team. The Solutions Engineering Director is a key leadership role responsible for managing and guiding the Solutions Engineering team in delivering exceptional technical solutions to our customers. This position involves collaborating closely with sales, product, and engineering teams to ensure that our solutions meet customer needs and drive business growth. The Solutions Engineering Director is a strategic thinker, technically proficient, and possesses strong leadership and communication skills. Key Responsibilities Team Leadership: Manage and mentor a team of solutions engineers, providing direction, support, and professional development opportunities. Create a high-performing team culture that fosters collaboration, innovation, and continuous improvement. Technical Solution Development: Collaborate with the sales and product teams to understand customer requirements and develop comprehensive technical solutions that align with their needs and objectives. Customer Engagement: Act as a technical expert and strategic advisor for key customer accounts, participating in pre-sales activities, and ensuring the successful implementation of solutions. Cross-Functional Collaboration: Work closely with product managers, engineering teams, and other stakeholders to align solutions with the company's product roadmap and technology capabilities. Solution Strategy: Develop and drive the solutions engineering strategy, ensuring that it supports business objectives and maintains a competitive edge in the market. Process Improvement: Continuously assess and enhance the solutions engineering processes, tools, and methodologies to improve efficiency and effectiveness. Resource Planning: Collaborate with the HR team and executive leadership to assess staffing needs, hire and onboard new team members, and allocate resources effectively. Technical Expertise: Keep abreast of industry trends, emerging technologies, and best practices to maintain a high level of technical proficiency and provide thought leadership within the organization. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Proven experience (e.g., 8+ years) in solutions engineering or a related technical pre-sales role, with at least 3-5 years of experience in a leadership capacity. Strong leadership, team management, and interpersonal skills. Demonstrated ability to lead technical discussions with customers and internal stakeholders. Solid understanding of software development processes and technologies. Exceptional problem-solving and analytical abilities. Excellent communication and presentation skills. Strategic thinking and business acumen. Proven track record of driving successful customer outcomes through technical solutions. Why You'll Love Working at Nauto Competitive hourly wage Stock options Comprehensive health benefits (medical, dental, vision) for employees and qualified dependents Healthcare spending accounts (FSA, HSA) 401K retirement plan Up to 20 weeks of parental leave Flexible PTO policy Location Remote We are committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination. To all recruitment agencies: Nauto does not accept agency resumes. Please do not forward resumes to our jobs alias, Nauto employees or any other company location. Nauto is not responsible for any fees related to unsolicited resumes. The US base salary range for this full-time position is $190,000 - $220,000 + commission + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US, remote locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training. Your recruiter can share more about the specific salary range for your work location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Manage various cross-functional teams to construct internal security capabilities and platform services. Develop product strategy, manage product planning, and conduct market research and competitor analysis, to formulate product roadmap. Create efficient and high-quality service docking capabilities, enhancing the interactive experience, and lowering the user's barriers to understanding and using security services. Collect product requirements understanding users' pain points and conduct requirement analysis to determine priorities and meet business needs and objectives. Prepare product requirement documents, design product prototypes, and drive collaboration with internal stakeholders. Define and evaluate success metrics and KPIs to continuously improve the product. Collect user feedback for product improvement and optimization.Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Science, Information Design and Data Visualization, User Experience (UX) Design, Human-Computer Interaction, or a related field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Science, Information Design and Data Visualization, User Experience (UX) Design, Human-Computer Interaction, or a related field, and 3 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Performing market assessments of business opportunities to support product strategy decisions; Managing projects involving cross-functional stakeholders to formulate workplan, drive alignment, coordinate collaboration, and deliver strategic business outcome; Designing and executing multi-stage go-to-market and product testing strategies, including A/B testing to validate product-market fit; Utilizing product design tools: Azure, Sketch, or Figma; and Designing product features that utilize Artificial Intelligence (AI) and large language model (LLM) to drive customer success. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $190819 - $246400 per year To Apply, click the apply button below. Contact *********************** if you have difficulty submitting resume through the website. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ****************************** #IND-DNI

RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE Bright Machines is on a mission to transform how electronics are made-bringing intelligence, scalability, and flexibility to the factory floor. We combine the best of automation, machine learning, and software to modernize manufacturing from the ground up. We are seeking a results-driven Manufacturing Engineering Manager to lead end-to-end engineering activities related to production readiness, continuous improvement, and product industrialization at our electronics manufacturing site. This role integrates responsibilities across Process Engineering, Industrial Engineering, Product Engineering support, and New Product Introduction (NPI) for complex server and rack-level systems. The ideal candidate will have a strong technical background, leadership capability, and experience scaling high-complexity electronics manufacturing operations, including automation. WHAT YOU WILL BE DOING Lead development, optimization, and control of manufacturing processes for server assembly and rack-level integration. Define and implement standard work, tooling, process flows, and line balancing across production areas. Deploy lean manufacturing principles, PFMEA, and continuous improvement initiatives to maximize efficiency and yield. Own production line capacity planning, workstation layout, time studies, and labor efficiency modeling. Drive line design and space optimization initiatives in collaboration with facilities and automation teams. Manage takt time analysis and headcount models to support forecasted volume ramps. Provide factory-level product ownership in collaboration with customer/OEM design teams. Coordinate with Test, Quality, and Maintenance to support issue resolution, DfX reviews, and sustaining improvements. Support root cause analysis, field return investigations, and ECN implementation from a process standpoint. Lead engineering deliverables for EVT/DVT/PVT builds, including process validation, tooling readiness, operator training, and data review. Ensure cross-functional alignment (supply chain, quality, test) for smooth product ramp-up and launch stability. Manage engineering BOM setup, readiness reviews, and close collaboration with Program Management. Identify and collaborate with RnD/Product organizations execution of automation opportunities, including robotics, guided assembly, digital work instructions, and in-line inspection. Collaborate with internal R&D and external partners to develop and scale smart factory solutions. Build and mentor a high-performing team of process, industrial, and NPI engineers. Oversee project timelines, engineering change management, and resource allocation across active programs. WHAT WE WANT TO SEE Bachelor's or Master's in Mechanical, Industrial, or Manufacturing Engineering (or related). 7+ years of experience in electronics or server manufacturing, including 2+ years in engineering leadership. Proven success in high-mix, high-complexity production environments (server, networking, or similar). Hands-on experience with NPI programs, lean manufacturing tools, process validation, and DfM/DfA implementation. Working knowledge of BOM management, ECNs, MES systems, and manufacturing documentation. Strong communication and leadership skills to work across technical, operational, and customer teams. BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

NexHealth's mission is to accelerate innovation in healthcare. Fixing healthcare is the challenge of our generation. This industry is stuck in the 1990s while affordability and accessibility are spiraling out of control. We currently spend ~20% of GDP on healthcare, while the 25% of the world's data is stuck on legacy and antiquated health systems. NexHealth's goal is to create an open and modern ecosystem to accelerate innovation in the space. We make it easier for everybody to build in healthcare, and ultimately empower ordinary people with access to more modern, efficient and affordable healthcare solutions. Founded: 2017 Headquarters: San Francisco, CA Funding: $177M through Series C Employees: 190 Website: ************************** Engineering Manager, Product We are seeking an experienced Engineering Manager to lead our customer facing teams. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of great software that attracts new patients, improves the relationship between patients and their doctors, and helps our customers' businesses thrive. You will also work on some of the cutting edge problems enabling developers to innovate with open and accessible healthcare data. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel challenges. Experience in building amazing customer facing products is highly preferred. No prior experience in health tech is required. The Impact You Will Have Hire great engineers to build an outstanding team Support engineers in their career development by providing clear feedback and developing engineering leaders Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Work with engineering and product leadership to build a long-term roadmap Coordinate execution and collaborate across teams to unblock cross-cutting projects What We Look For Great at hiring and developing talent, especially leadership Great at creating efficient processes that increase velocity and quality 3+ years of experience with building amazing customer facing products Have experience scaling engineering teams Team player that will work with other departments (PM, Sales, CS) BS or higher in Computer Science, or a related field Engineering Principles at NexHealth As Nexers, we are strong owners and first principle thinkers who can execute and deliver fast, hungry for learning and personal growth, and we make sure the company succeeds above all else. As such, our culture is shaped with the following principles: Strong ownership: Knows what needs to be done, and gets it done with little or no oversight. Bias for action: Outcome oriented. Delivers results fast. Acts with first principles: Describes the ideal end state with first principles, and helps us get there fast. Growth mindset. Hungry for learning and personal growth. Company first: Does whatever is right for the company and our customers. Benefits Competitive salary plus equity Commuter benefits 401K Full Medical, Dental and Vision Unlimited PTO Other benefits may include stock options, an unlimited paid time off policy, and up to 100% coverage on medical, vision and dental insurance.

Build to Protect Civilization TRM is a blockchain intelligence company that's on a mission to build a safer financial system for billions of people. We're a lean, high-impact team tackling some of the world's most critical challenges, ranging from human trafficking and financial fraud to terrorist financing. We are builders who power governments, financial institutions, and crypto companies when the clock is running and the consequences are real. This is why every TRMer is a bet on our future and has the power to change our trajectory. About the Position The Product Engineering team at TRM builds the core customer-facing experiences that power our platform. As an Engineering Manager, Product Engineering, you will lead a multidisciplinary pod of frontend, backend, and full-stack engineers responsible for shipping highly visible, workflow-heavy product features used by customers every day. This role blends people leadership, technical judgment, and execution ownership. You'll partner closely with Product and Design to translate complex requirements into intuitive, scalable product experiences-moving quickly from idea to impact in a fast-paced environment. The impact you'll have here: * Lead and develop a pod of engineers across frontend, backend, and full-stack disciplines. * Own execution of key product initiatives end-to-end, from scoping through delivery and iteration. * Partner closely with Product and Design on roadmap planning, tradeoffs, and prioritization. * Drive predictable delivery while maintaining high standards for quality, reliability, and maintainability. * Provide technical leadership through design reviews, architectural discussions, and unblocking engineers. * Collaborate cross-functionally with other engineering teams to ensure smooth integrations and shared ownership. * Establish strong engineering fundamentals: clear documentation, observability, testing, and operational rigor. * Foster a culture of ownership, velocity, and clear communication. What we're looking for: * Bachelor's degree (or equivalent) in Computer Science or a related field. * 5+ years of software engineering experience and 2-5+ years of people management experience. * Proven success leading multidisciplinary engineering teams (frontend + backend). * Strong product engineering background with experience shipping user-facing workflows or product surfaces. * Ability to operate effectively in ambiguous problem spaces and move quickly with incomplete information. * Technical grounding that allows you to evaluate designs, review code, and guide architectural decisions. * Excellent communication skills and strong cross-functional partnership instincts. Nice to Have: * Experience scaling or evolving product engineering pods. * Background in B2B or enterprise software. * Experience with data-rich, workflow-heavy, or real-time products. * Familiarity with event-driven systems or complex integrations. Life at TRM We build to protect civilization. That promise shows up in how we work every day. TRM runs fast. Really fast. We're a high-velocity team that expects ownership, clarity, and follow-through. People who thrive here are inspired by hard problems, experimentation, direct feedback. If it takes months elsewhere, it often ships here in days. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here. We coach directly, assume positive intent, and play for the front of the jersey. Leadership Principles * Impact-Oriented Trailblazer: We put customers first, driving for speed, focus, and adaptability. * Master Craftsperson: We prioritize speed, high standards, and distributed ownership. * Inspiring Colleague: We value humility, candor, and a one-team mindset. Want to learn more about how we interview at TRM Labs? Check out more about our leadership principles and hiring process here. What You'll Do Here This work has teeth. At TRM, your week might include: * Driving critical investigations that can't wait for typical business hours. * Shipping products in days when others would schedule quarters. * Partnering with teams across time zones to deliver insights while the story is still unfolding. * Building new solutions from first principles when the playbook doesn't yet exist. * Protecting victims and customers by tracing illicit activity and disrupting criminal networks. Join our Mission We look for people who want their work to matter, who build with speed and rigor, and who take pride in protecting others through their craft. If you're excited by TRM's mission but don't check every box, apply anyway. We hire for slope, judgment, and the will to learn fast. Build to protect civilization. Let's do it together. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Privacy Policy By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy Learn More: Company Values | Interviewing | FAQs

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations-from startups to Fortune 500 enterprises in 60+ countries-rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role: We are hiring a Director of AI Engineering to lead all engineering initiatives related to Starburst's rapidly expanding AI platform. This is a foundational role to drive execution across inference, agentic workflows, hybrid search, governance, and integration with customer ecosystems. As a Director, Engineering - Head of Applied AI at Starburst you will: Own engineering execution across AI workflows, agents, and model integrations Partner with PM and GTM teams to define roadmap and co-own AI strategy Build and manage a high-performing AI engineering team (across UX, backend, infra) Collaborate across Cloud, Platform, and Product teams to ensure AI cohesion Establish architecture principles for inference, vector search, and agentic pipelines Represent Starburst Engineering in customer briefings and strategic GTM efforts Some of the things we look for: 10+ years engineering experience, 5+ in AI/ML systems, data platforms, or infra Deep understanding of LLM lifecycle: embedding, inference, RAG, governance Proven leadership of platform teams or AI infra in production Familiarity with LangChain, LlamaIndex, NVIDIA NIMs, or similar frameworks Hands-on experience with Iceberg, Trino, or other modern data platforms is a plus Excellent communication and execution skills Ability to Travel: This role will require occasional in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs. Where could this role be based? Ideally, this role is based in one of our US hub locations, Boston or San Francisco, and follows a hybrid model, with an expectation of being onsite 1-2 days per week. Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we're empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry - and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.