Senior Engineering Manager jobs at Reddit

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 ****************** Reddit's Core Platform organization builds the foundational software, frameworks, and infrastructure that power the rest of the company. Operating in a complex, multi-cloud environment spanning AWS, GCP, and Kubernetes, this group ensures our systems scale with the demands of Reddit's rapidly growing user base and evolving business. We're looking for an Engineering Manager to lead our Data Pipeline team, which owns the infrastructure responsible for generating, ingesting, and processing petabytes of data-over 250 billion events per day-used across Reddit by teams like Ads, Machine Learning, and Data Science. This is a high-impact, technically complex role where your leadership will drive reliability, scalability, and innovation in one of Reddit's most critical data systems. You'll partner closely with teams across the company and work at the center of Reddit's real-time and batch data ecosystem. Experience managing high-performing engineering teams and building distributed systems at web scale is key to success in this role. What you'll do: Lead the design and long-term evolution of Reddit's Data Pipeline to support ongoing scale and growth. Drive high-impact, high-leverage projects that align with Reddit's broader engineering and business goals. Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence. Establish and champion best practices for data production, consumption, and governance across the company. Ensure the pipeline remains highly reliable and low latency, even at massive scale. Collaborate closely with engineering teams across Reddit-such as Ads, ML, and Consumer-to support their data needs. Extend data infrastructure capabilities across multiple data centers and cloud environments. Continuously develop your own technical and leadership skills while helping others grow. What we're looking for: 2-4 years experience in people management of high performing engineering teams. 7+ years experience in large scale backend distributed systems Strong focus on scalability, performance, and quality. You are an undying advocate for the user, and you have a deep intuition for how critical data infra systems work at scale. High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org. Experience in Go, Kubernetes, Flink, Kafka, BigQuery is a huge plus. BS degree in Computer Science, similar technical field of study or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote #LI-YK1 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.

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.

Mixbook is the #1 rated photo book service in the US, with over 30K 5-star reviews, empowering over 6 million people to design and share their one-of-a-kind stories. We're a profitable, growing company known for our intuitive design platform, exceptional quality, and fanatical customer service. But Mixbook is more than just a product - we're a team of passionate individuals driven to make a difference. What truly sets Mixbook apart is our commitment to creating a workplace where you can thrive both personally and professionally. We value collaboration, open communication, and a growth mindset. We believe in empowering our team members to take ownership, embrace challenges, and make a meaningful impact. Our culture is built on a foundation of trust, constructive feedback, and a shared passion for delivering outstanding results. If you're looking for a place where your contributions are valued, your voice is heard, and you can grow alongside a talented team, then Mixbook is the place for you. Objective Mixbook is hiring a Director of Data Engineering to own Mixbook's data foundation end-to-end. This is a hands-on leadership role with high accountability and executive visibility. You will be responsible for the reliability of the data warehouse, ingestion pipelines, and transformations that power analytics and executive reporting. You will lead a small team (2 direct reports) and are expected to personally design, build, and stabilize critical parts of the platform. This person will need to work in the EST time zone. You Will Own Mixbook's data platform end-to-end, including ingestion, orchestration, transformation, and the Redshift data warehouse Establish clear accountability, SLAs, and standards for critical datasets and business metrics Stabilize and harden fragile pipelines, reducing data incidents and reactive firefighting Define and enforce best practices for dbt modeling, data quality, and metric consistency. Deliver analytics-ready models that power Looker and downstream use cases. Partner closely with Platform Engineering, Product Engineering, Data Analytics, and business stakeholders across Marketing, Product, Operations and Finance to align on priorities and tradeoffs Act as the primary point of contact for data reliability and warehouse health at the executive level Make pragmatic build vs. buy decisions and resist unnecessary replatforming or tool churn Lead by building. Write and review production data engineering code. Set technical standards and architectural direction. Enable faster, more confident analytics and experimentation by increasing trust in data Set the stage for future data science, ML and AI capabilities once foundations are solid You Have 8+ years of experience in data engineering or adjacent roles Experience as a Senior / Principal Data Engineer, Lead, or hands-on Director Proven track record building or stabilizing data platforms at mid-scale companies Project management/backlog management experience. This person will be expected to build a 12 month roadmap and drive prioritization. Deep experience with: Data warehousing (Redshift or similar) dbt and analytics data modeling Orchestration tools (Dagster, Airflow, etc.) Data ingestion, pipeline reliability, and observability Comfortable operating with a small team and high accountability Strong ownership mindset - you feel personally responsible for outcomes A proven track record of improving data reliability, data quality, and metric consistency in a real business environment The ability to prioritize ruthlessly and say “no” constructively when tradeoffs are required Experience working through legacy data systems and incrementally improving them without disrupting the business Clear, confident communication skills-especially when explaining technical tradeoffs to non-technical stakeholders An ownership mindset: you take personal responsibility for whether the data platform works or doesn't Nice to have: Experience in B2C, e-commerce, or marketplace businesses Familiarity with Looker and semantic modeling Exposure to ML pipelines or production ML systems Our Mission & Culture At Mixbook, our mission is to empower people to be creative and connect deeply with the ones they love. Unlike most growth companies, we have invested deeply in culture - because we believe that when we love our people, they will love our customers, and our customers will love our business. You'll contribute to a product loved by millions and help people create lasting memories. You'll thrive in a healthy culture that values collaboration, growth, and open communication. You'll work with talented individuals who are passionate about what they do, and you'll enjoy competitive benefits and perks to support your well-being. We want people to join us who exude our core values: Scrappy: We act like entrepreneurs, taking ownership and finding creative solutions. Caring: We have a heart of empathy, supporting each other and our customers. Craftsmanship: We have a spirit of excellence, striving for the highest quality in everything we do. If you're ready to join a team that's making a real difference in the world, we encourage you to apply!

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 $314,580-$550,515 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$314,580-$550,515 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: Creating economic opportunity for every member of the global workforce is LinkedIn's core mission. At Talent Marketplace Matching team, we tackle foundational challenges that enable LinkedIn's Talent Solutions ecosystem to fully harness the power of our rich and diverse talent data. We build and evolve LLM and matching systems that enhance LinkedIn's understanding of members, jobs, and skills to improve relevance quality across job products. The team works closely with partner orgs to advance semantic retrieval, generative AI and efficient foundation model adaptation, ensuring that LinkedIn's talent data is leveraged effectively and responsibly to drive long-term business growth. This is a high-visibility team building AI solutions that directly impact millions of members. 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. Key Responsibilities: As a senior AI Manager, you will lead a team of applied scientists and engineers to design and deliver scalable LLM and matching solutions that improve the relevance and quality of LinkedIn's Talent Marketplace. You'll combine people leadership, technical vision, and cross-functional collaboration to maximize team impact. Build and grow talent: Attract, mentor, and develop a diverse and high-performing team of applied scientists and engineers. Foster an inclusive culture where people feel empowered to share ideas, take intelligent risks, and grow into technical leaders. Define clear direction: Translate product and business needs into a focused technical roadmap. Connect daily team work to LinkedIn's broader mission and long-term strategic priorities. Advance LLM and matching systems: Guide the team in developing and improving hybrid retrieval systems, and domain-tuned LLM applications. Leverage LinkedIn's unique data to ground model outputs, enhance job matching relevance, and improve end-to-end quality. Ensure scalability and efficiency: Partner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning. Promote alignment and collaboration: Work across teams to identify shared opportunities, align on long-term goals, and drive consistent progress. Proactively address misalignments with clarity and empathy. Foster innovation and inclusion: Create an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar. Qualifications Basic Qualifications: 7+ years of relevant professional experience. 3+ years of management experience. Bachelors in Computer Science or other technical discipline, or related practical technical experience Preferred Qualifications: 10+ years of relevant work experience. Prior experience leading teams of 10-20 individuals, including multiple Tech Leads. PhD in Computer Science, Machine Learning, Statistics or related fields Experience leading teams in machine learning, NLP, or retrieval systems. Strong technical background in LLMs, retrieval architectures, and relevance optimization. Familiarity with semantic search, vector databases, or efficient model adaptation. Proven ability to connect technical strategy to business goals and communicate across disciplines. Passion for developing talent and building highly collaborative teams. Additional Information Suggested Skills: Team Management AI System Design (Recommendation, Relevance, and Retrieval) Technical Leadership 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 $198,000 - $326,000. 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 [email protected] 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 Hirer AI team is building the LinkedIn Hiring Assistant, which is an AI agent that autonomously finds job candidates and writes messages to them, and is a key initiative for the company. Our team works on a wide range of cutting-edge ML: LLM fine tuning, text generation, LLM-as-a-judge, prompt engineering, embedding-based retrieval, and search ranking. As a part of the Hirer AI team, you will engage with highly experienced and passionate AI Engineers and a brilliant cross functional team to help millions of LinkedIn users connect with the best possible opportunities. 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. Key Responsibilities As a senior AI Manager, you will lead a team of applied scientists and engineers to design and deliver scalable LLM and matching solutions that improve the relevance and quality of LinkedIn's Talent Marketplace. You'll combine people leadership, technical vision, and cross-functional collaboration to maximize team impact. Build and grow talent: Attract, mentor, and develop a diverse and high-performing team of applied scientists and engineers. Foster an inclusive culture where people feel empowered to share ideas, take intelligent risks, and grow into technical leaders. Define clear direction: Translate product and business needs into a focused technical roadmap. Connect daily team work to LinkedIn's broader mission and long-term strategic priorities. Advance LLM and matching systems: Guide the team in developing and improving hybrid retrieval systems, and domain-tuned LLM applications. Leverage LinkedIn's unique data to ground model outputs, enhance job matching relevance, and improve end-to-end quality. Ensure scalability and efficiency: Partner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning. Promote alignment and collaboration: Work across teams to identify shared opportunities, align on long-term goals, and drive consistent progress. Proactively address misalignments with clarity and empathy. Foster innovation and inclusion: Create an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar. Qualifications Basic Qualifications: 3+ years of management experience, leading team(s) of direct reports. 7+ years of relevant professional experience in AI/ML Engineering and/or leadership of AI/ML Engineering teams. Bachelors in Computer Science or other technical discipline, or related practical technical experience Preferred Qualifications 10+ years of relevant professional experience in AI, Machine Learning, or a related field. Prior experience leading teams of 15-20+ individuals, including multiple Tech Leads. PhD in Computer Science, Machine Learning, Statistics or related fields Experience leading teams in machine learning, NLP, or retrieval systems. Strong technical background in LLMs, retrieval architectures, and relevance optimization. Familiarity with semantic search, vector databases, or efficient model adaptation. Proven ability to connect technical strategy to business goals and communicate across disciplines. Passion for developing talent and building highly collaborative teams. Suggested Skills: Team Management AI System Design (Recommendation, Relevance, and Retrieval) Technical Leadership 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 $198,000 - $326,000. 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 [email protected] 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 base 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 base salary offered is part of a total compensation package. Base Salary 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.

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. Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, operations, and maintenance of the physical infrastructure of a data center, including server, switching, and associated hardware. The Senior Manager of Data Center Operations will lead a team of engineers to maintain the operational health, reliability, and hardware lifecycle management across LinkedIn's data center environment. This leader will own day‑to‑day operations, technician workflows, incident response, vendor execution, and standards that ensure our data centers deliver industry‑leading uptime and performance. A successful candidate will oversee teams responsible for hardware deployment, break/fix, server installation, cabling, staging, audits, preventive maintenance, and on‑site operational excellence. This leader will also drive KPI‑based improvements, operational consistency across sites, and scalable processes that support accelerating compute demand. 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 can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: + Own 24x7 operational reliability, infrastructure uptime, and incident management across assigned data center regions. + Lead onsite operations teams overseeing hardware repair, deployment, installation, decommissioning, and preventive maintenance. + Ensure all activities maintain compliance with safety protocols, operational standards, and risk mitigation procedures. + Build and enforce operational runbooks, staffing plans, playbooks, and escalation paths to minimize MTTR and maximize SLA adherence. + Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. + Develop, refine, and enforce standardized operating procedures across multiple data center locations. + Use KPIs (availability, SLA adherence, backlog burn‑down, staffing coverage, MTTR, audit pass rates) to drive operational performance. + Coordinate global compliance efforts for SOX, SOC2, ISO 27001, safety audits, and quality inspections. + Lead cross‑functional collaboration with Engineering, Network, SRE, Security, and Program Management to ensure smooth execution of maintenance and install windows. + Manage on‑site vendors and contingent workforce responsible for staffing, installs, cabling, and break/fix operations. + Own performance management of vendor SLAs, quality, safety, and productivity metrics. + Build strong relationships with OEMs, service providers, and cross‑functional internal stakeholders. + Lead, mentor, and grow a high-performance team of data center technicians, supervisors, and operations leads. + Create a culture of accountability, safety, operational rigor, and continuous improvement. + Invest in training programs, career development pathways, and skill certification for the operations workforce. + Collaborate with cross-functional teams, including hardware, networking, security, operations, and customer service, to ensure seamless operational functionality. + Ensure compliance with industry standards, regulations, and best practices. + Identify and mitigate project risks, resolving issues promptly to keep projects on track. + Foster a culture of continuous improvement, innovation, and excellence within the team. + Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. + Take part in data center strategy planning, cost analysis, and provider business reviews. + Improve resiliency through preventive maintenance programs, early warning indicators, and cross‑team drills. Basic Qualifications: + 10+ years of experience in data center operations, hardware deployment, service management, or critical infrastructure operations. + 4+ years managing teams in a colocation, enterprise, or hyperscale data center environment. + Experience with server hardware, diagnostics, cabling, racking/stacking, airflow management, and physical infrastructure operations. + Proven ability to lead technicians and vendors in a 24x7 environment with strict uptime requirements. + Experience with compliance frameworks (SOX, SOC2, ISO 27001), safety protocols, and operational audits. + B.S./B.A. in Engineering, Computer Science, or a related technical field. + Experience with data center infrastructure, including power, cooling, and connectivity systems. + Ability to work effectively in a fast-paced, dynamic environment. + Risk Management: Ability to identify potential risks and develop effective mitigation strategies. + Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. + Regulatory Compliance: Knowledge of relevant regulations and industry standards. + Communication Skills: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: + Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure.Experience managing operations across multiple data center regions. + Familiarity with high‑density compute, liquid cooling environments, and modern deployment automation workflows. + Demonstrated ability to drive KPI‑driven operational improvements and standardization across sites. + Certification(s) such as CDCP/CDCS/CDCE, ITIL, BICSI, or equivalent operational credentials. + Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. + Experience in Liquid cooling (DLC) deployment and operations. Suggested Skills: + Data Center operations + Vendor/contractor management + Data Center maintenance excellence + Critical Infrastructure + Project Management 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 $155,000 to $257,000. 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. Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, and maintenance of the physical infrastructure of a data center, including electrical and mechanical systems. The Senior Manager of Data Center Design and Construction will lead a team of engineers to design, build, and maintain world-class data centers. This role involves managing the entire project lifecycle from initiation to turnover and closeout, ensuring that projects are completed on time, within budget, and to the highest quality standards. The ideal candidate will have extensive experience in data center design, construction, and operations, with a strong focus on project management and customer satisfaction. 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 on-site, meaning it will be performed in the specified office on a full-time basis due to the business needs of the team. This role will can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: + Lead the design and construction of data center projects, ensuring alignment with business objectives and customer requirements. + Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. + Collaborate with cross-functional teams, including IT, operations, and customer service, to ensure seamless project execution. + Develop and lead a team of field engineers to maintain data center SLAs and provider maintenance schedules. + Develop and maintain project schedules, budgets, and resource plans. + Ensure compliance with industry standards, regulations, and best practices. + Identify and mitigate project risks, resolving issues promptly to keep projects on track. + Foster a culture of continuous improvement, innovation, and excellence within the team. + Provide leadership, mentorship, and professional development opportunities for team members. + Lead innovative design techniques to enhance data center efficiency and performance. + Manage and coordinate the efforts of electrical and mechanical engineers to ensure the successful integration of all systems. + Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. + Create, refine, and maintain a comprehensive turnover checklist for the operations team for data center suite handovers. + Take part in data center strategy planning, cost analysis, and provider business reviews. + Develop and lead liquid cooling deployments in the data center. Basic Qualifications: + B.S./B.A. in Engineering, Computer Science, or a related technical field. + 10+ years of experience in data center design, construction, and operations. + 2+ years experience managing large-scale data center projects. + 2+ years of project management and leadership skills. + Experience with data center infrastructure, including power, cooling, and connectivity systems. + Ability to work effectively in a fast-paced, dynamic environment. + Risk Management: Ability to identify potential risks and develop effective mitigation strategies. + Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. + Regulatory Compliance: Knowledge of relevant regulations and industry standards. + Communication: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: + Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure. + 12+ years in direct data center construction experience at a data center provider or constructor. + Experience in management, engineering, or operations of hyperscale datacenter critical environments. + Experience in AutoCad and/or Revit as well as implementation or maintenance of DCIM applications. + Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. + Experience in Liquid cooling (DLC) design and deployment. Suggested Skills: + Data Center Design and Construction + Critical Infrastructure + Project Management 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 $155,000 to $257,000. 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 Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, operations, and maintenance of the physical infrastructure of a data center, including server, switching, and associated hardware. The Senior Manager of Data Center Operations will lead a team of engineers to maintain the operational health, reliability, and hardware lifecycle management across LinkedIn's data center environment. This leader will own day‑to‑day operations, technician workflows, incident response, vendor execution, and standards that ensure our data centers deliver industry‑leading uptime and performance. A successful candidate will oversee teams responsible for hardware deployment, break/fix, server installation, cabling, staging, audits, preventive maintenance, and on‑site operational excellence. This leader will also drive KPI‑based improvements, operational consistency across sites, and scalable processes that support accelerating compute demand. 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 can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: * Own 24x7 operational reliability, infrastructure uptime, and incident management across assigned data center regions. * Lead onsite operations teams overseeing hardware repair, deployment, installation, decommissioning, and preventive maintenance. * Ensure all activities maintain compliance with safety protocols, operational standards, and risk mitigation procedures. * Build and enforce operational runbooks, staffing plans, playbooks, and escalation paths to minimize MTTR and maximize SLA adherence. * Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. * Develop, refine, and enforce standardized operating procedures across multiple data center locations. * Use KPIs (availability, SLA adherence, backlog burn‑down, staffing coverage, MTTR, audit pass rates) to drive operational performance. * Coordinate global compliance efforts for SOX, SOC2, ISO 27001, safety audits, and quality inspections. * Lead cross‑functional collaboration with Engineering, Network, SRE, Security, and Program Management to ensure smooth execution of maintenance and install windows. * Manage on‑site vendors and contingent workforce responsible for staffing, installs, cabling, and break/fix operations. * Own performance management of vendor SLAs, quality, safety, and productivity metrics. * Build strong relationships with OEMs, service providers, and cross‑functional internal stakeholders. * Lead, mentor, and grow a high-performance team of data center technicians, supervisors, and operations leads. * Create a culture of accountability, safety, operational rigor, and continuous improvement. * Invest in training programs, career development pathways, and skill certification for the operations workforce. * Collaborate with cross-functional teams, including hardware, networking, security, operations, and customer service, to ensure seamless operational functionality. * Ensure compliance with industry standards, regulations, and best practices. * Identify and mitigate project risks, resolving issues promptly to keep projects on track. * Foster a culture of continuous improvement, innovation, and excellence within the team. * Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. * Take part in data center strategy planning, cost analysis, and provider business reviews. * Improve resiliency through preventive maintenance programs, early warning indicators, and cross‑team drills. Qualifications Basic Qualifications: * 10+ years of experience in data center operations, hardware deployment, service management, or critical infrastructure operations. * 4+ years managing teams in a colocation, enterprise, or hyperscale data center environment. * Experience with server hardware, diagnostics, cabling, racking/stacking, airflow management, and physical infrastructure operations. * Proven ability to lead technicians and vendors in a 24x7 environment with strict uptime requirements. * Experience with compliance frameworks (SOX, SOC2, ISO 27001), safety protocols, and operational audits. * B.S./B.A. in Engineering, Computer Science, or a related technical field. * Experience with data center infrastructure, including power, cooling, and connectivity systems. * Ability to work effectively in a fast-paced, dynamic environment. * Risk Management: Ability to identify potential risks and develop effective mitigation strategies. * Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. * Regulatory Compliance: Knowledge of relevant regulations and industry standards. * Communication Skills: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: * Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure.Experience managing operations across multiple data center regions. * Familiarity with high‑density compute, liquid cooling environments, and modern deployment automation workflows. * Demonstrated ability to drive KPI‑driven operational improvements and standardization across sites. * Certification(s) such as CDCP/CDCS/CDCE, ITIL, BICSI, or equivalent operational credentials. * Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. * Experience in Liquid cooling (DLC) deployment and operations. Suggested Skills: * Data Center operations * Vendor/contractor management * Data Center maintenance excellence * Critical Infrastructure * Project Management 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 $155,000 to $257,000. 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 Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, operations, and maintenance of the physical infrastructure of a data center, including server, switching, and associated hardware. The Senior Manager of Data Center Operations will lead a team of engineers to maintain the operational health, reliability, and hardware lifecycle management across LinkedIn's data center environment. This leader will own day‑to‑day operations, technician workflows, incident response, vendor execution, and standards that ensure our data centers deliver industry‑leading uptime and performance. A successful candidate will oversee teams responsible for hardware deployment, break/fix, server installation, cabling, staging, audits, preventive maintenance, and on‑site operational excellence. This leader will also drive KPI‑based improvements, operational consistency across sites, and scalable processes that support accelerating compute demand. 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 can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: Own 24x7 operational reliability, infrastructure uptime, and incident management across assigned data center regions. Lead onsite operations teams overseeing hardware repair, deployment, installation, decommissioning, and preventive maintenance. Ensure all activities maintain compliance with safety protocols, operational standards, and risk mitigation procedures. Build and enforce operational runbooks, staffing plans, playbooks, and escalation paths to minimize MTTR and maximize SLA adherence. Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. Develop, refine, and enforce standardized operating procedures across multiple data center locations. Use KPIs (availability, SLA adherence, backlog burn‑down, staffing coverage, MTTR, audit pass rates) to drive operational performance. Coordinate global compliance efforts for SOX, SOC2, ISO 27001, safety audits, and quality inspections. Lead cross‑functional collaboration with Engineering, Network, SRE, Security, and Program Management to ensure smooth execution of maintenance and install windows. Manage on‑site vendors and contingent workforce responsible for staffing, installs, cabling, and break/fix operations. Own performance management of vendor SLAs, quality, safety, and productivity metrics. Build strong relationships with OEMs, service providers, and cross‑functional internal stakeholders. Lead, mentor, and grow a high-performance team of data center technicians, supervisors, and operations leads. Create a culture of accountability, safety, operational rigor, and continuous improvement. Invest in training programs, career development pathways, and skill certification for the operations workforce. Collaborate with cross-functional teams, including hardware, networking, security, operations, and customer service, to ensure seamless operational functionality. Ensure compliance with industry standards, regulations, and best practices. Identify and mitigate project risks, resolving issues promptly to keep projects on track. Foster a culture of continuous improvement, innovation, and excellence within the team. Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. Take part in data center strategy planning, cost analysis, and provider business reviews. Improve resiliency through preventive maintenance programs, early warning indicators, and cross‑team drills. Qualifications Basic Qualifications: 10+ years of experience in data center operations, hardware deployment, service management, or critical infrastructure operations. 4+ years managing teams in a colocation, enterprise, or hyperscale data center environment. Experience with server hardware, diagnostics, cabling, racking/stacking, airflow management, and physical infrastructure operations. Proven ability to lead technicians and vendors in a 24x7 environment with strict uptime requirements. Experience with compliance frameworks (SOX, SOC2, ISO 27001), safety protocols, and operational audits. B.S./B.A. in Engineering, Computer Science, or a related technical field. Experience with data center infrastructure, including power, cooling, and connectivity systems. Ability to work effectively in a fast-paced, dynamic environment. Risk Management: Ability to identify potential risks and develop effective mitigation strategies. Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. Regulatory Compliance: Knowledge of relevant regulations and industry standards. Communication Skills: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure.Experience managing operations across multiple data center regions. Familiarity with high‑density compute, liquid cooling environments, and modern deployment automation workflows. Demonstrated ability to drive KPI‑driven operational improvements and standardization across sites. Certification(s) such as CDCP/CDCS/CDCE, ITIL, BICSI, or equivalent operational credentials. Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. Experience in Liquid cooling (DLC) deployment and operations. Suggested Skills: Data Center operations Vendor/contractor management Data Center maintenance excellence Critical Infrastructure Project Management 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 $155,000 to $257,000. 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 [email protected] 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 Data Center Engineering is the process of designing, building, and maintaining data centers, which are facilities used to house and manage critical IT infrastructure, applications, and data. Data center engineers ensure the data center infrastructure's stability, reliability, and security. They are crucial in supporting the availability and performance of applications and services. This involves the design, construction, and maintenance of the physical infrastructure of a data center, including electrical and mechanical systems. The Senior Manager of Data Center Design and Construction will lead a team of engineers to design, build, and maintain world-class data centers. This role involves managing the entire project lifecycle from initiation to turnover and closeout, ensuring that projects are completed on time, within budget, and to the highest quality standards. The ideal candidate will have extensive experience in data center design, construction, and operations, with a strong focus on project management and customer satisfaction. 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 on-site, meaning it will be performed in the specified office on a full-time basis due to the business needs of the team. This role will can be based in one of our data center locations: Santa Clara (CA), Hillsboro (OR), Richardson (TX), Manassas (VA). Responsibilities: Lead the design and construction of data center projects, ensuring alignment with business objectives and customer requirements. Manage the end-to-end project lifecycle, including planning, design, construction, commissioning, and handover. Collaborate with cross-functional teams, including IT, operations, and customer service, to ensure seamless project execution. Develop and lead a team of field engineers to maintain data center SLAs and provider maintenance schedules. Develop and maintain project schedules, budgets, and resource plans. Ensure compliance with industry standards, regulations, and best practices. Identify and mitigate project risks, resolving issues promptly to keep projects on track. Foster a culture of continuous improvement, innovation, and excellence within the team. Provide leadership, mentorship, and professional development opportunities for team members. Lead innovative design techniques to enhance data center efficiency and performance. Manage and coordinate the efforts of electrical and mechanical engineers to ensure the successful integration of all systems. Oversee the implementation of cutting-edge technologies and best practices in data center design and operations. Create, refine, and maintain a comprehensive turnover checklist for the operations team for data center suite handovers. Take part in data center strategy planning, cost analysis, and provider business reviews. Develop and lead liquid cooling deployments in the data center. Qualifications Basic Qualifications: B.S./B.A. in Engineering, Computer Science, or a related technical field. 10+ years of experience in data center design, construction, and operations. 2+ years experience managing large-scale data center projects. 2+ years of project management and leadership skills. Experience with data center infrastructure, including power, cooling, and connectivity systems. Ability to work effectively in a fast-paced, dynamic environment. Risk Management: Ability to identify potential risks and develop effective mitigation strategies. Vendor Management: Experience in selecting, negotiating, and managing contracts with vendors and contractors. Regulatory Compliance: Knowledge of relevant regulations and industry standards. Communication: verbal and written communication skills for effective stakeholder engagement. Preferred Qualifications: Masters Degree in Mechanical Engineering, Materials Engineering, Reliability Engineering, Electrical Engineering, or related field AND 2+ years technical project management, program management, mission-critical electrical infrastructure. 12+ years in direct data center construction experience at a data center provider or constructor. Experience in management, engineering, or operations of hyperscale datacenter critical environments. Experience in AutoCad and/or Revit as well as implementation or maintenance of DCIM applications. Ability to manage, prioritize and successfully execute multiple concurrent mission-critical projects and communicate effectively to drive standards and consensus across multiple levels of the organization. Experience in Liquid cooling (DLC) design and deployment. Suggested Skills: Data Center Design and Construction Critical Infrastructure Project Management 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 $155,000 to $257,000. 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 [email protected] 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: ********************************************

What we want to accomplish and why we need you Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki for Clinicians, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki for Partners, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we're striving to do even better. Come and join us! We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We're a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We're confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture. Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL. What will you do everyday? We are looking for a Director of Solutions Engineering to build and scale our Suki for Partners deployment team. You will lead a team of world-class engineers who embed with strategic customers to drive AI adoption within clinical and medical settings. This will involve prototyping new applications that integrate with Suki to deliver inference, summarization, and agentic capabilities. You will help drive the strategy and technical direction of our customers, exploring ways that AI can help standardize, streamline, and scale their current workflows. You will build out features and services that directly impact thousands of clinicians, and improve their lives everyday. This role combines your technical depth, commercial intuition, and organizational leadership to elevate the efforts of our product, engineering, and customer success teams. Specifically you will: * Lead, hire, mentor a team of Solutions Engineers to deliver on complex business requests, leveraging the Suki for Partners platform * Build scalable delivery methodologies and strategies for API, SDK, and MCP integration, deploy custom agents, and provide clear feedback for product enhancements * Collaborate and partner with Engineering & Product leaders across the company to design new integration and deployment models as the company scales. * Architect and design product features for scale and maintainability * Work on multiple tasks and prioritize responsibilities within an Agile/Scrum environment * Understand production systems, deployments and ensuring application performance and uptime * Build resourcing models to allocate resources against numerous customer priorities * Maintain high standards of code quality through evangelisation of unit testing and integration tests * Create a collaborative environment across geographies Qualifications* * 10+ years of experience designing and delivering highly scalable, distributed applications, products and services in a Software Engineering or Professional Services capacity. * 5+ years of experience managing full-stack engineering teams working on server-based mobile or web applications, preferably within Enterprise SaaS. * Excellent written/verbal communication skills, comfortable whiteboarding systems, and presenting solutions to client stakeholders. * Ability to collaborate effectively with cross functional teams to solve complex problems and building products spanning across geographically distributed teams to deliver end-to-end products & features * Experience embedding directly within customer technology teams to gather technical requirements, provide engineering insights, and align solutions with business needs * Experience in healthcare professional services, developing applications/services integrating with EMRs like Epic and Oracle, a major plus Tell me more about Suki * On a roll: Named by Fast Company as one of the most innovative companies, named Google's Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI . * Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems. * Great investors: We're backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale. * Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it. * Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice. * Impact: You'll make an impact from day one. You'll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values. In compliance with the State of California Pay Transparency Law, the base salary range for this role is between $270k - $310k in CA. This range is not inclusive of any annual variable targets, discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. #LI-remote

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.

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. Kiddom is seeking a hands-on Director of Engineering to lead key parts of our engineering organization and help bring our AI-first product vision to life. Reporting to the VP Engineering, this leader will be responsible for managing multiple engineering teams, driving delivery excellence, and evolving our platform to support district-scale impact. You will translate the company's technical strategy into execution: building high-performing teams, maturing our architecture and infrastructure, and partnering closely with Product, Data, AI and Curriculum to ship AI-powered features that teachers and students love.What You'll Do... Own delivery for a portfolio of product and platform areas, ensuring your teams ship high-quality software on time Help define and drive adoption of engineering best practices Contribute to technical decision-making on architecture, frameworks, and key platform investments Lead, coach, and grow engineering managers and senior engineers across backend, frontend, DevOps, data, and AI-adjacent teams Implement and refine processes for planning, estimation, documentation, and cross-team collaboration Partner with the engineering leadership on career ladders, performance management, and succession planning within engineering Work with Product, Data, and Curriculum teams to deliver AI-powered features that improve personalization, grading, insights, and curriculum recommendations Help teams integrate AI capabilities into existing workflows in ways that are intuitive, reliable, and impactful for educators and students Partner with platform and SRE teams to improve CI/CD pipelines, observability, and cloud cost efficiency Work with data engineering to design and maintain scalable, well-modeled data pipelines that power AI and analytics features Support integration of real-time and batch data sources into the product in ways that are secure, privacy-preserving, and aligned with education data regulations Partner with Product and GTM leaders to prioritize work based on customer impact, state adoption cycles, and business goals Collaborate with Customer Success and Support to understand field feedback and translate it into backlog items and improvements Help GTM teams with procurement processes and procedures, including privacy and security guidelines as well as RFO proposals What we're looking for... 10+ years in software engineering, with 5+ years leading and scaling teams in a SaaS environment Has managed multiple teams working on a range of products Strong background in building and operating distributed systems and cloud-native platforms Experience delivering products that leverage AI/ML (for example, recommendations, automation, analytics) or working closely with data science/ML teams Familiarity with modern data pipelines, security best practices, and observability Comfortable diving into technical discussions and guiding teams on trade-offs, even if you are not writing code daily Be able to be ‘in the weeds' with the engineers driving technical decisions Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws. Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process. What we offer Full time permanent employees are eligible for the following benefits from their first day of employment:* Competitive salary* Meaningful equity* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance * One Medical membership (in participating locations) * Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year. * 10 paid sick days per year (pro rated depending on start date) * Paid holidays* Paid bereavement leave* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State. * Commuter and FSA plans Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. Kiddom is seeking a hands-on Director of Engineering to lead key parts of our engineering organization and help bring our AI-first product vision to life. Reporting to the VP Engineering, this leader will be responsible for managing multiple engineering teams, driving delivery excellence, and evolving our platform to support district-scale impact. You will translate the company's technical strategy into execution: building high-performing teams, maturing our architecture and infrastructure, and partnering closely with Product, Data, AI and Curriculum to ship AI-powered features that teachers and students love.What You'll Do... Own delivery for a portfolio of product and platform areas, ensuring your teams ship high-quality software on time Help define and drive adoption of engineering best practices Contribute to technical decision-making on architecture, frameworks, and key platform investments Lead, coach, and grow engineering managers and senior engineers across backend, frontend, DevOps, data, and AI-adjacent teams Implement and refine processes for planning, estimation, documentation, and cross-team collaboration Partner with the engineering leadership on career ladders, performance management, and succession planning within engineering Work with Product, Data, and Curriculum teams to deliver AI-powered features that improve personalization, grading, insights, and curriculum recommendations Help teams integrate AI capabilities into existing workflows in ways that are intuitive, reliable, and impactful for educators and students Partner with platform and SRE teams to improve CI/CD pipelines, observability, and cloud cost efficiency Work with data engineering to design and maintain scalable, well-modeled data pipelines that power AI and analytics features Support integration of real-time and batch data sources into the product in ways that are secure, privacy-preserving, and aligned with education data regulations Partner with Product and GTM leaders to prioritize work based on customer impact, state adoption cycles, and business goals Collaborate with Customer Success and Support to understand field feedback and translate it into backlog items and improvements Help GTM teams with procurement processes and procedures, including privacy and security guidelines as well as RFO proposals What we're looking for... 10+ years in software engineering, with 5+ years leading and scaling teams in a SaaS environment Has managed multiple teams working on a range of products Strong background in building and operating distributed systems and cloud-native platforms Experience delivering products that leverage AI/ML (for example, recommendations, automation, analytics) or working closely with data science/ML teams Familiarity with modern data pipelines, security best practices, and observability Comfortable diving into technical discussions and guiding teams on trade-offs, even if you are not writing code daily Be able to be ‘in the weeds' with the engineers driving technical decisions Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws. Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process. What we offer Full time permanent employees are eligible for the following benefits from their first day of employment:* Competitive salary* Meaningful equity* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance * One Medical membership (in participating locations) * Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year. * 10 paid sick days per year (pro rated depending on start date) * Paid holidays* Paid bereavement leave* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State. * Commuter and FSA plans Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

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