Software Engineering Manager jobs at HealthVerity - 2700 jobs

Director, Security Engineering
Healthverity 3.7
Software engineering manager job at HealthVerity
Please note: This is a hybrid role requiring 3 days in office at our Philadelphia HQ - 1818 Market Street. As the security thought leader for HealthVerity, you will assist in developing long term organization-wide strategies and governance, developing plans to execute that strategy, while overseeing daily activity for your team. Working alongside our engineering and business operations groups, your team will be responsible for designing and enforcing security policies and procedures. Security is paramount at HealthVerity and is critical in every business relationship made. Your team will be leveraging state of the art tools and aligning with the highest industry standards to deliver solutions that meet the strict demands of the healthcare data processing industry. Peer review of solutions and implementations is expected as a collaborative environment. You will play an integral part in building the foundation of HealthVerity's future. What you will do Set the strategy for security across a broad range of cloud infrastructure Own and manage security operations, programs (e.g., policies and procedures) and strategy Drive security compliance through development of a culture of security Supporting company-wide audits; Lead security audit and assessment activities Develop best in class processes to identify, assess, and remediate security threats of any sort Establish remediation of recurring security audits and exercises Manage third party platform and vendor relationships Evolve security best practices through every facet of the company from its SSDLC to endpoint and employee behavior Assist in architectural designs and decisions Partner with senior leadership and other internal stakeholders across the organization to mature HealthVerity's implementation of enterprise information security and risk management Work directly with business groups to facilitate risk assessment and risk management processes, and with your team to continue maturing our adoption and implementation of best security practices Represent the company on topics of security of any sort Evolve and contribute to broader risk management around topics like business continuity and disaster recovery How success is defined Understand security threats at their very core because you have been studying them from all aspects Ability to distinguish between security processes that check boxes and those that harden systems and operations to threats You understand there's never such a thing as perfect security and are constantly improving Your curiosity about the types of risks the company may face and constantly staying one step ahead of potential threats Being data-driven; testing and measuring every step You know the relevance of monitoring and measuring systems to identify bottlenecks You automate everything Keeping up to date on the latest trends and topics in security technology You consider NIST 800-53 and ISO27001 as good starts to security Desired Skills and Experience Experience in hardening cloud architectures Hands on experience with automated infrastructure configuration management Experience in meeting security certification requirements (HIPAA, SOC, etc) Possessing both technical and security skills; must hold CISSP or multiple security certifications Must have 3 or more years of previous experience with implementing or managing a security program Must have 3 or more years of previous experience leading & managing security audit and assessment activities Understanding of Public Sector InfoSec standards and FedRAMP Base salary for the role is commensurate with experience and can range between $175,000 - 250,000 + annual bonus opportunity. Hiring Locations Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area. For certain roles, we also hire from hub locations-regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at lease once a year for team-building, collaboration, and strategic planning. Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states: Hub Locations: Philadelphia, Pennsylvania Boston, Massachusetts New York City, New York Baltimore, Maryland Washington, D.C. Charlotte, North Carolina Raleigh-Durham, North Carolina Atlanta, Georgia Chicago, Illinois Approved States for Remote Work: CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA. About HealthVerity HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate healthcare and consumer data. We continue to innovate HealthVerity Marketplace, the nation's first and largest real-world data ecosystem comprising more than 75 leading data providers and over 340 million US patients. Combined with Identity Manager, the industry's most accurate and efficient solution for patient identity, privacy and governance, we support critical applications in clinical development, commercial strategy, regulatory decision-making, population health, underwriting and more. HealthVerity has raised more than $140 million to date and works closely with its data providers, partners and clients to Synchronize the Science. To learn more about HealthVerity, visit healthverity.com. Why you'll love working here We are making a difference - Our technology is at the forefront of some of the biggest healthcare challenges in the world. We are one team - Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer with our 200-person team. We are learners - Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other. Benefits & Perks Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions. Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles) Benefits: We offer a 401(k) plan and stock options. Health, dental, and vision coverage start on day 1, while 401(k) eligibility and stock options follow soon after. Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team. Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave. Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents. Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we're working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ************************ Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
$117k-177k yearly est. Auto-Apply 1d ago

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Senior Engineering Manager
Cerebras 4.2
San Francisco, CA jobs
About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** About the Role We are seeking an experienced Platform & Product Engineering Leader to build, scale, and evolve the world‑class GenAI training platform, including the large‑scale RL environments and data generation systems that train large language models and multimodal agents to improve performance in specialized domains from coding, reasoning, compute use to STEM and more. In this critical role, you will partner cross‑functionally with our engineering, product, data science and research teams to design and deliver a highly available, secure, and rapidly deployable platform that fuels innovation at a massive scale. You will lead a team operating horizontally across multiple product verticals, ensuring Turing's foundational systems can scale effectively to meet our exponential growth while maintaining exceptional developer productivity and agility. This role requires a balance of hands‑on technical execution, strategic leadership, and a long‑term platform vision. Responsibilities Strategic Leadership & Execution Define the technical vision and roadmap for verticals in the platform and product teams, ensuring tight alignment with Turing's overall product and company strategy. Anticipate and proactively solve scaling challenges related to our global developer network and AI systems, designing solutions that improve performance, observability, and reliability. Translate complex internal infrastructure and AI/ML needs into actionable platform initiatives and robust architecture improvements. Lead strategic planning sessions with Product, Infrastructure, and AI/ML leads to drive key business outcomes. Team Leadership & Culture Manage and mentor a high‑performing, geographically distributed teams, fostering a collaborative, highly autonomous, and outcome‑driven culture. Provide continuous feedback, coach for high performance, and amplify individual strengths across the team. Partner with the People team to attract, retain, and grow top‑tier, global engineering talent for Turing. Champion a culture of engineering excellence, accountability, and innovation across all development teams. Technical Delivery Oversee end‑to‑end technical execution: design, implementation, testing, and rollout of core platform components. Contribute to technical design reviews and the codebase when necessary, ensuring the highest technical quality and sound architectural choices. Build advanced automation, monitoring, and CI/CD systems that dramatically improve engineering velocity and system reliability across the global platform. Collaborate with Security, Finance, and Operations teams to align on governance, compliance, and cloud cost efficiency. Who You Are A strategic thinker and hands‑on leader who thrives at the intersection of scalable system design and implementation, developer productivity, and rapid company growth. A builder who knows how to balance execution speed with the long‑term scalability required for a massive global platform heavily integrated with AI agents. Comfortable navigating ambiguity, identifying system bottlenecks, and creating processes that scale with a fully remote and global team. Data‑driven in your approach and deeply passionate about building a strong, world‑class engineering culture. Requirements Location: Ability to work effectively in a fully remote and globally distributed team environment. Experience: 5+ years of proven experience in engineering management and leadership roles, preferably within high‑performance, product‑driven environments. Extensive experience building and maintaining production infrastructure systems supporting multiple product verticals. Demonstrated success in designing and deploying infrastructure that supports AI/ML capabilities. Hands‑on technical expertise in major cloud environments (AWS/GCP/Azure), Kubernetes, CI/CD, observability tools, and infrastructure‑as‑code tools (e.g., Terraform). Strong communication and stakeholder management skills across engineering, product, and operations in a remote setting. Bonus Points Experience working in a rapidly scaling startup or platform‑oriented company. Strong understanding of security, compliance, and cost optimization in large‑scale cloud environments. Why Join Turing At Turing, you'll be building the future of work. We offer the opportunity to: Shape the Platform: You'll have the autonomy and opportunity to shape the foundation of a world‑class, AI‑driven platform organization from the ground up. Work with the Best: Collaborate with engineers and researchers in top AI research labs and companies like OpenAI, Anthropic, Google, Meta in advancing GenAI super‑intelligence. Drive Massive Impact: Drive impact at a global scale, accelerating Turing's ability to innovate and connect the world's best talent with great jobs. Culture of Excellence: Join a remote culture that values autonomy, high standards, continuous learning, and making a difference. Salary Range: $220,000 - $260,000 + Equity Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start‑Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection. We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. #J-18808-Ljbffr
$220k-260k yearly 1d ago
Senior Manager, SEO
Turo Inc. 4.6
San Francisco, CA jobs
* Build a scalable content program: keyword strategy, content briefs, editorial standards, refreshes, and pruning.* Drive template and programmatic SEO opportunities where appropriate (category pages, location pages, collections, FAQs).* Partner with Brand/Content/PR to ensure content aligns with brand voice while meeting SEO requirements.* Work with the Data Analytics team to Improve existing reporting by enriching internal data with various SEO tools and data sources.* Partner with Data Analytics to improve conversion and user experience* Establish an experimentation culture for titles/meta, internal linking, templates, schema, and content formats.* Be able to understand and articulate causal impact of SEO initiatives.* 7+ years of SEO experience with proven leadership - ideally in a B2C marketplace or travel/ecommerce environment.* Bachelor's degree in marketing or quantitative field required.* Ability to be rooted in customer experience rather than just SEO tactics.* Demonstrated success scaling SEO via geo + programmatic landing pages, without sacrificing quality.* People management and stakeholder management experience are a must.* Ability to work with agencies and help them priorities and drive results.* Strong technical SEO: crawl/indexation, architecture, CWV, JavaScript/rendering considerations, duplication management, and migrations.* Strong content SEO: intent mapping, editorial strategy, optimization, and operational workflows.* Expertise in core tools: Google Search Console, GA4, crawling tools (Screaming Frog/Sitebulb), and competitive research platforms (Ahrefs/Semrush).* International SEO experience (multi-country, multi-language, hreflang, localization).* Ability to influence Product/Engineering roadmaps and communicate ROI/tradeoffs clearly.For this role, the target base salary range in San Francisco is $168,000 - $210,000 annually. This role is also eligible for equity and benefits. In general, our ranges reflect the market-based target for new hire salaries based on the level and location of the role. Within the range, individual pay is determined by objective factors assessed during the application and interview process, such as job-related skills, experience, and relevant education or training. We encourage you to talk with your recruiter to learn more about the total compensation and benefits available for this role.**Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Your recruiter can share more information about the various in-office perks Turo offers.** * Competitive salary, equity, benefits, and perks for all full-time employees* Employer-paid medical, dental, and vision insurance (Country specific)* Retirement employer match* Learning & Development stipend to invest in your professional development* Turo host matching program* Turo travel credit* Cell phone and internet stipend* Paid time off to relax and recharge* Paid holidays, volunteer time off, and parental leave* For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities #J-18808-Ljbffr
$168k-210k yearly 1d ago
Software Development Manager, AWS Neuron Machine Learning Distributed Training - Model Enablement
Annapurna Labs (U.S.) Inc. 4.6
Cupertino, CA jobs
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the SDM of Software Development for the Machine Learning Distributed Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for inference and training support in Pytorch, XLA, JAX as well as distributed training libraries like FSDP, DDP and others. Includes enabling models using MoE architectures and future newer architectures. Lead the way to ensure support for key ML functionality in a combined chip / software platform Ensure the right thing is being built and delivered to customers Key job responsibilities Our engineers and managers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn't necessary. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Experience partnering with product or program management teams - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 3+ Years of Deep Learning/Machine learning experience PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
$166.4k-287.7k yearly 1d ago
Senior Data Engineering Manager - Lead Pipelines
Strava 3.5
San Francisco, CA jobs
A leading fitness technology company is searching for a Senior Manager, Data Engineering in San Francisco. The candidate will lead a team to build and optimize data pipelines, ensuring key decisions are data-driven. This role requires both people leadership and technical skills, with a commitment to data quality and governance. The company follows a flexible hybrid model, with in-office presence three days a week. Ideal candidates have a strong background in data engineering and proven team leadership experience. #J-18808-Ljbffr
$211k-282k yearly est. 1d ago
Senior Manager, Data Engineering
Strava 3.5
San Francisco, CA jobs
Strava is the app for active people. With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, we help you find your crew, crush your milestones, and keep moving forward. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. About This Role We are seeking a strategic and hands-on Senior Manager, Data Engineering to lead a team focused on building and optimizing data pipelines and data models that enable best-in-class data science, analytics, and self-service business intelligence. You will be instrumental in realizing our vision that key decisions and products at Strava are greatly enriched with data to benefit athletes and the business. This role requires a balance of people leadership, technical oversight, and individual contribution to set the strategic direction for our core data assets. You will partner tightly with Analytics, Data Science, and Data Platform teams across the company. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office - three days per week. What You'll Do: Act as the player-coach for our Data Engineering function, fostering a culture of technical excellence and ownership. Define the long-term vision and technical roadmap for Strava's core data platform, including the development of scalable, robust, and efficient ETL/ELT pipelines. Drive initiatives to significantly improve the quality, integrity, and availability of Strava's data assets, implementing best-in-class monitoring and alerting systems. Collaborate with Analytics, Data Science, and Product teams to enable advanced data consumption, experimentation, and self-service business intelligence across the company. Represent the Data Engineering team in cross-functional strategic planning and collaborate with the broader data community to elevate our technological craftsmanship and data governance standards. You Will Be Successful Here By: Translating the company's business objectives into a compelling technical strategy for the Data Engineering team, ensuring all data infrastructure supports business relevance. Prioritizing and driving execution of projects that significantly improve the scalability, efficiency, and extensibility of our data models and systems. Serving as a key technical and organizational mentor for your team, guiding them on complex architectural decisions and best practices for modern data development. Proactively anticipating the data needs of a rapidly growing platform, fostering a culture that prioritizes data integrity, security, and privacy. What You'll Bring to the Team: You have 7+ years of experience in data engineering, data platform, or a related quantitative domain. You have 3+ years of experience leading and mentoring high-performing data engineering teams. You are an advanced user of SQL and have developed production-grade data pipelines using languages like Python, Scala, or Java. You have deep experience implementing and maintaining modern ETL/ELT orchestration systems (e.g., Airflow, dbt) and cloud data infrastructure (e.g., Snowflake, BigQuery, AWS, GCP). You have a strong track record of driving data quality, governance, and the implementation of tools for data cataloging and monitoring. You understand underlying infrastructure and engineering best practices (e.g., Kubernetes, CI/CD, software development lifecycle) with the ability to influence architectural decisions. For more information on benefits, please click here. Why Join Us? Movement brings us together. At Strava, we're building the world's largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you're shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you're not just joining a company-you're joining a movement. If you're ready to bring your energy, ideas, and drive, let's build something incredible together. Strava builds software that makes the best part of our athletes' days even better. Just as we're deeply committed to unlocking their potential, we're dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We're backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we're expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr
$211k-282k yearly est. 1d ago
Engineering Manager, Youth Well-Being
Openai 4.2
San Francisco, CA jobs
About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways-especially for youth and families. We work across OpenAI's entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI's mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We\'re looking for an Engineering Leader to help build the foundational systems that power family and youth-facing experiences at scale. You\'ll help define how teens and guardians engage with OpenAI products-ensuring those experiences are safe, compliant, and empowering. You\'ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact opportunity to set the standard for how families interact with generative AI. In this role, you will: Hire and manage a diverse, high-performing engineering team Guide the team in implementing teen and guardian experiences across OpenAI products, including ChatGPT Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale Help define safety and well-being metrics, and continuously improve user trust through technical interventions Ensure your team of engineers are performing at their peak, are growing, and advancing in their careers You might thrive in this role if you: Have at least 5 years of experience managing the team, ideally in a closely related domain Have experience in trust & safety, youth well being, anti-fraud or anti-abuse spaces Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position Experience closing competitive candidates for their team and the ability to craft and convey compelling visions of the future Very high emotional intelligence and deeply empathetic personality. A strong ability to read between the lines and genuinely connect with fellow colleagues A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary Are deeply thoughtful about culture and building strong teams About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $325K - $405K #J-18808-Ljbffr
$325k-405k yearly 3d ago
Engineering Manager, Managed AI
Crusoe Energy Systems LLC 4.1
San Francisco, CA jobs
Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next‑generation AI inference platform. You will be responsible for guiding the team through the design and implementation of high‑performance, fault‑tolerant infrastructure to serve large language models (LLMs) at scale. This role combines technical depth with people leadership - you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high‑caliber engineers. As part of a fast‑growing, strategically important organization, you'll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide. This is an on‑site role based in San Francisco, CA, or Sunnyvale, CA, requiring in‑office presence. What You'll Be Working On Team Leadership & Strategy: Manage and grow a team of software engineers working on Crusoe's Managed AI platform Set clear goals, drive accountability, and support career development for team members Partner with product and engineering leadership to define and execute on the AI roadmap Foster a high‑performance, collaborative engineering culture grounded in technical excellence Technical Execution: Enhance the architecture and development of core AI services, including: Fault‑tolerant task queues Model management systems Cost‑aware scheduling frameworks High‑performance APIs for real‑time inference Ensure the team delivers scalable systems capable of handling millions of API requests per second Guide the team in implementing performance optimizations for GPU‑based inference workloads Collaboration and Influence: Work cross‑functionally with product managers, infrastructure teams, and GTM stakeholders Represent engineering in strategic discussions related to AI platform growth and customer adoption Promote knowledge sharing, technical mentorship, and operational best practices within the team Contribute to the evolution of Crusoe's engineering processes and broader AI strategy What You'll Bring to the Team Leadership Experience: 2+ years of experience managing high‑performing engineering teams Strong track record of hiring, developing, and retaining engineering talent Ability to lead teams through ambiguity and drive alignment around complex technical goals Technical Depth: Prior hands‑on experience building distributed systems or AI infrastructure Deep understanding of cloud‑native environments, container orchestration, and service‑oriented architectures Familiarity with GPU performance, inference frameworks, or LLM‑based systems is a strong plus Product & Delivery Focus: Comfortable owning deliverables from early design through production rollout Strong collaboration skills, with a bias for clarity, context sharing, and customer impact Experience operating in fast‑paced startup or growth‑stage environments Preferred Qualifications: Background in Computer Science, Engineering, or a related technical field Proficiency in Python or Golang Familiarity with open‑source AI ecosystems (e.g., VLLM, Hugging Face, Triton) Experience working with Kubernetes, gRPC, and observability stacks Personal Attributes: Growth‑minded leader who empowers and supports others Excellent communicator and relationship builder Passionate about building world‑class AI infrastructure and teams Benefits Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr
$233k-282k yearly 5d ago
Engineering Manager, Platform
Solana Foundation 4.5
San Francisco, CA jobs
Our Mission Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups. Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe. The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT. We're backed by the world's leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others. The Role As the Sr Eng. Manager for Infra and Platform, you will be leading teams to build and scale one of the most sophisticated and high-throughput distributed systems in the blockchain world. Reliability and high performance at scale are critical to our users, and ultimately the billions of people that will benefit from blockchains. Your work will focus on delivering industry-leading platform infrastructure that ensures low latency, high reliability, and cost efficiency, enabling developers to move fast with confidence. Collaborating with product managers and leadership, you'll shape backend platform strategy to drive Alchemy's mission of accelerating Web3 development. What You'll Do: Lead several teams ranging from Cloud infrastructure to Platform, Data Engineering, and Internal Tooling. Oversee technical and platform strategies that everyone at Alchemy can build upon to deliver exceptional products and services. Stay updated on the bleeding edge of technological and ecosystem advancements to drive technical strategies, keeps Alchemy at the edge of competition; effectively communicate concepts and progress. Enhance execution, mentor the team, and refine processes as the team scales. Provide technical mentorship to ensure high-quality standards. Foster team growth by actively recruiting and hiring top-tier engineers. Influence Alchemy's overall engineering culture through leadership, mentorship, and programs promoting continuous learning and development. What We're Looking For: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. 7+ years of experience in software development, with a preferred focus on distributed systems. 4+ years in engineering management; proven success in building and leading backend teams for critical production infrastructure at a high-growth startup. Expertise in engineering and maintaining large scale distributed systems. Experience with Java, K8s, AWS, multi-region, multi-cloud is strongly preferred. Excellent problem-solving, analytical, and decision-making skills. Strong written and verbal communication skills, with the ability to effectively collaborate with cross-functional teams and engage with the open-source community. Passion for and curiosity around creating innovative solutions that cater to the needs of the next billion users in the blockchain ecosystem. Self-starter attitude and the ability to execute new ideas with autonomy Know how to find the right balance between perfection and shipping quickly Curiosity on the leading edge - plays with crypto, the latest in AI, and pushes to unpack black boxes More on The Role Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off. The base salary range for this position is estimated to be between $240,000 - $330,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs. #J-18808-Ljbffr
$240k-330k yearly 2d ago
Identity Platform Engineering Manager - Secure Auth
Strava 3.5
San Francisco, CA jobs
A leading fitness application company seeks an Engineering Manager for its Identity team located in San Francisco. You will split your time between coding and leadership, focused on designing secure authentication and authorization systems for iOS, Android, and web. The role emphasizes building modern, reliable identity foundations to enhance user experiences across platforms. Applicants should have experience in identity systems and be comfortable with modern security protocols in a hybrid work setting. #J-18808-Ljbffr
$199k-263k yearly est. 1d ago
Engineering Manager, Managed AI Platform
Crusoe Energy Systems LLC 4.1
San Francisco, CA jobs
A leading technology company in San Francisco is seeking an Engineering Manager for their Managed AI team. The role involves leading engineers in building a next-generation AI platform, enhancing core services, and collaborating cross-functionally. Ideal candidates will have experience in distributed systems, team leadership, and strong technical skills in cloud environments. The position offers competitive compensation and comprehensive benefits. #J-18808-Ljbffr
$163k-230k yearly est. 5d ago
Engineering Manager: Lead World-Class Atlas Browser
Openai 4.2
San Francisco, CA jobs
A leading AI research company in San Francisco is seeking an experienced Engineering Manager to oversee the Atlas browser engineering team. The ideal candidate will have over 5 years of experience in managing high-performing teams and a proven track record of delivering impactful projects. This role involves driving complex projects and ensuring product quality while fostering a collaborative environment. The compensation range is competitive. #J-18808-Ljbffr
$165k-229k yearly est. 3d ago
Engineering Manager, Youth Well-Being & Safety
Openai 4.2
San Francisco, CA jobs
A leading AI research company in San Francisco is seeking an Engineering Manager for Youth Well-Being. The role involves managing a diverse team, ensuring safe experiences for families, and building systems to comply with regulatory needs. Candidates should have over 5 years of experience in related fields, strong emotional intelligence, and a passion for youth empowerment. This position offers competitive compensation and equity. #J-18808-Ljbffr
$165k-229k yearly est. 1d ago
Engineering Manager, ChatGPT Growth
Openai 4.2
San Francisco, CA jobs
About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced and strategic engineering leader to guide our efforts around user growth for ChatGPT. As part of this, your team will improve discoverability, onboarding and the new user experience, social features, and more through strategic bets and rapid experimentation. In this role, you will: Hire and manage a diverse, high-performing engineering team Improve discoverability, onboarding and the new user experience, social features and more Define and track progress against key user growth metrics via rapid, data-driven experimentation Coach engineers to uplevel their impact Create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think You might thrive in this role if you: Have 10+ years of experience in engineering, including 6+ years of experience in engineering management Have experience building and leading growth engineering in a fast-paced environment Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams Take pride in both rapid experimentation and in building delightful, reliable product experiences Have a strong track record of coaching engineers to achieve their peak potential Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary Have experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the future Have a voracious and intrinsic desire to learn and fill in missing skills-and an equally strong talent for sharing learnings clearly and concisely with others About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr
$165k-229k yearly est. 3d ago
Engineering Manager, Atlas
Openai 4.2
San Francisco, CA jobs
About the Team The ChatGPT Atlas engineering team is focused on extending the functionality & reach of the ChatGPT Atlas app to new use cases & platforms. Our vision is to create a world class web browser with ChatGPT at its core, helping you get stuff done as you move across the web. With Atlas, ChatGPT can come with you anywhere across the web; helping you in the window right where you are, understanding what you're trying to do, and completing tasks for you, all without copying and pasting or leaving the page. About the Role We are seeking an experienced Engineering Manager to lead a major part of the Atlas browser engineering team. In this role, you will help build and scale a world-class engineering team, drive the execution of complex cross-functional projects, and contribute to the long-term strategy of transforming Atlas into people's browser of choice. You will play a critical role in managing the team, ensuring product quality and reliability, and establishing processes that foster collaboration and efficiency. In this role, you will: Manage and grow a high-performing engineering team in a fast-paced, high-expectation environment. Ramp up on the team's technology, product, and business goals, including hands-on work to develop a deep technical understanding. Lead hiring and onboarding efforts to build a strong, collaborative team. Set clear priorities and strategic direction in collaboration with engineering, product, design, and research teams. Drive process improvements to increase team effectiveness and product quality. Deliver complex, cross-functional projects that align with business objectives and drive impact. Ensure the Atlas browser is scalable, reliable, and continuously improving. Collaborate closely with Product and Research teams to push the boundaries of AI-enabled assistance. You might thrive in this role if you: Have 5+ years of experience managing engineering teams in a high-performance, fast-paced environment. Bring 5+ years of experience building and operating distributed systems at scale OR 5+ years of experience building installed/native apps at scale. Take pride in building delightful, high quality product experiences. Have a strong track record of leading world-class teams and delivering impactful projects. Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams. Thrive in ambiguity and can adapt quickly to rapidly changing conditions. Have experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the future. Have a strong coaching mindset and excel at guiding engineers to reach their peak potential. Have a voracious and intrinsic desire to learn and fill in missing skills-and an equally strong talent for sharing learnings clearly and concisely with others. Are comfortable navigating AI/ML research collaborations (nice to have). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $325K - $490K #J-18808-Ljbffr
$165k-229k yearly est. 3d ago
Engineering Manager, Notify
Narvar 4.5
San Francisco, CA jobs
Narvar is growing! We are hiring a strong and motivated Engineering Manager who will partner with our product team to develop experiences for our clients and their end consumers. We are looking for people who will play a meaningful role in amplifying the value of our platform by assuring the seamless development and deployment of our product. You will lead complex technical projects, grow and mentor a high‑performing team, and be an integral part of the hiring process. Day-to-day Design and build highly scalable, extensible, distributed systems through incremental delivery, aligned to a longer‑term vision Set a high technical bar, driving continuous improvement of software design, coding and quality practices Lead the planning of new initiatives including translating requirements into work streams, and assessing and communicating delivery milestones Plan day‑to‑day activities for the team, working with stakeholders and team members, to balance feature delivery and operational health Inform the technical roadmap to address technical debt and improve scalability/extensibility Improve operational observability and effectiveness of system monitoring, reporting and alarming Guide the team's continuous improvement of the planning and execution processes Mentor and grow your teammates What we're looking for? 12+ years of experience as a professional software engineer building, scaling and extending SaaS products 3+ years managing technical architecture & design and leading initiatives from inception to delivery Previous startup experience strongly preferred You have hands‑on experience in several general‑purpose languages Extensive experience designing, building, and integrating with RESTful APIs Experience with building and scaling relational and NoSQL database platforms (such as MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Redis, Elasticache) Experience with cloud computing platforms like Amazon AWS or Google Cloud Platform Experience building high volume, high performance, and highly available products Experience leading Agile teams with a focus on incremental delivery and improvement Strong willingness and desire to both learn and mentor Why Narvar? We're on a mission to simplify the everyday lives of consumers. Post‑purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post‑purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct‑to‑consumer companies to retail's most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post‑purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal‑opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. $180,000 - $230,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it. #J-18808-Ljbffr
$180k-230k yearly 3d ago
Engineering Manager, Amplify Engineering
Klaviyo Inc. 4.2
Boston, MA jobs
About the Team The Amplify Engineering team is responsible for building systems of efficiency and automation around the processes and problems of our fellow Klaviyos. We create tools that help Klaviyos move faster and operate at scale as the company continues to grow. Because our users are internal stakeholders, we work with a tight feedback loop and have direct visibility into how our work drives measurable impact across the organization. How You'll Make an Impact As the Engineering Manager for the Amplify Engineering team, you will: Lead a team of seven highly productive engineers, with potential to grow the team further. Own the vision and oversee the implementation of the Klaviyo Demo Studio (KDS) - a homegrown product used by our Sales organization to demonstrate Klaviyo's value to prospective customers. Manage a portfolio of internal tools that serve Klaviyo's Sales and R&D organizations, driving efficiency and productivity through automation. Balance hands‑on technical involvement with people leadership - leading through others, setting direction, and modeling best practices. Collaborate closely with Product, Design, and senior stakeholders to translate organizational challenges into high‑quality software solutions. Foster a culture of innovation, curiosity, and technical excellence within the team. Who You Are 6-8+ years of software engineering experience, including 3-5+ years managing high‑performing teams in a fast‑paced SaaS environment. Experienced with full‑stack development and modern web architectures, typically React/TypeScript on the front end and Python/Django (or equivalent) on the back end. Skilled at leading teams that build internal platforms, tools, or systems for automation and efficiency. Strong communicator who can align stakeholders, manage competing priorities, and drive consensus across teams. A natural mentor and coach who develops engineers through constructive feedback and opportunities for growth. Comfortable navigating ambiguity and driving clarity - you set direction even when the path isn't fully defined. Excited to experiment with AI tools to boost team productivity and innovation. Nice to Have Experience building internal developer tools, automation systems, or operational dashboards. Familiarity with AWS (or other cloud providers), Terraform, and Kubernetes. 30 / 60 / 90 Days 30 Days: You're hands‑on with the Klaviyo Demo Studio and its underlying tech stack, learning its architecture and facilitating technical trade‑off conversations. 60 Days: You're assessing team roadmaps, weighing stakeholder and team input, and ensuring alignment with the vision and priorities you're setting for the team. 90 Days: You've implemented tools that improve how your team and stakeholders work, reviewed key architectures, and led by example through proof‑of‑concept work to guide your engineers. In Your First Year By your first year, you are recognized as the point person for your team's areas of ownership. You've built a reputation for delivering impactful results quickly, learning from outcomes, and iterating effectively. You're partnering closely with your design and product counterparts to deliver against goals for the Klaviyo Demo Studio and developing tooling that enables deeper adoption of KDS across the company. Tech Stack Backend: Python, Django, FastAPI Frontend: React, TypeScript Infrastructure: AWS, Terraform, Kubernetes Data & Messaging: MySQL, Redis, RabbitMQ, Pulsar, Kafka #J-18808-Ljbffr
$126k-179k yearly est. 1d ago
Software Engineer - Jobs Platform & Certifications
Openai 4.2
San Francisco, CA jobs
About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr
$122k-166k yearly est. 4d ago
Software Engineer, Reliability
Openai 4.2
San Francisco, CA jobs
Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Collaborate with development teams to make the systems they design and operate more reliable. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. Implement fault-tolerant and resilient design patterns to minimize service disruptions. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company. Strong proficiency in cloud infrastructure. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Knowledge of IaC tools such as Terraform or CloudFormation. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr
$122k-166k yearly est. 3d ago
Software Engineer, Collective Communication
Openai 4.2
San Francisco, CA jobs
The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We\'re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. Qualifications Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $555K #J-18808-Ljbffr
$122k-166k yearly est. 3d ago