{"schemaVersion":"jobsearcher.job.v1","id":"e2969edef62d502390477c25","url":"https://jobsearcher.com/jobs/e2969edef62d502390477c25","canonicalUrl":"https://jobsearcher.com/jobs/e2969edef62d502390477c25","title":"Engineering Manager - Observability San Francisco Office","description":"We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.\n\nIf you'd like to build the world's best deep learning cloud, join us.\n\nNote: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nThe Lambda Observability team builds and operates large scale monitoring systems for our AI cloud product suite. We deploy observability solutions across the stack, from datacenter infrastructure to our in-house software stack. Keeping those offerings reliable and instantly detecting issues in the latest high-performance AI clusters is what makes us tick.\n\nAlong with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers.\nOur expertise lies at the intersection of:\nScalable Observability Platforms: We build and operate mission-critical platforms for metrics, logs, and traces based on both open-source software and systems developed in-house.\nAI Infrastructure Observability: We design observability solutions for large-scale AI clusters running the latest GPU, Networking, and Storage technologies.\nObservability Practices: We engage across the company to promote best practices, help teams adopt our platforms, and enable applications that require observability data.\nAbout the Role:\nWe are seeking a seasoned Observability Engineering Manager with deep experience in development and operation of modern observability platforms. You will hire and guide a team of observability engineers in building out critical pillars of our internal observability stack. You will lead the team in building monitoring solutions for new products, and in measuring and reporting the availability of our products.\nYour role is not just to manage people, but to coordinate the delivery of observability solutions to customers inside and outside Lambda. Your leadership will be pivotal in ensuring our ability to deliver a high-quality, reliable product experience.\nThis is a unique opportunity to work at the intersection of large-scale observability systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the systems that monitor some of the world’s most advanced AI solutions.\nWhat You’ll Do\nTeam Leadership & Management:\nGrow/Hire, lead, and mentor a team of high-performing observability engineers and SREs.\nFoster a culture of technical excellence, collaboration, and customer service.\nConduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.\nDrive outcomes by managing project priorities, deadlines, and deliverables.\nTechnical Strategy & Execution:\nWork with the engineering team to drive strategy for Lambda internal and customer observability solutions.\nImprove observability of AI infrastructure and develop new monitoring solutions as new products are introduced.\nLead the broader engineering organization in adoption of Observability and SRE practices.\nManage costs of both vendors and internally developed platforms.\nLead team in the continued development of our existing Metrics solutions based on the Prometheus and OpenTelemetry ecosystems.\nLead team in tasks related to delivery of new Logging and Tracing solutions based on Clickhouse.\nGuide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.\nParticipate in design of solutions for bringing observability data to our customers.\nIdentify gaps in our observability posture and drive resolution.\nLead the team in supporting internal customers from across Lambda engineering.\nCross-Functional Collaboration:\nCollaborate with the infrastructure and HPC teams on infrastructure monitoring and alerting.\nWork closely with Lambda product engineering teams on instrumentation and best practices usage of our platforms.\nWork to understand the needs of engineering teams and drive our Observability solutions towards self-service.\nManage a short list of vendors that provide SaaS solutions in the monitoring space.\nYou\nExperience:\n10+ years of experience in observability systems or platform engineering with at least 3 years in a management or lead role.\nDemonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment.\nSignificant experience in environments that require the monitoring of bare-metal infrastructure is preferred.\nExperience with a wide variety of modern open-source observability software.\nStrong background in software engineering and the SDLC.\nStrong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.\nExtensive experience with site reliability engineering and ability to champion improved SRE practices.\nExperience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting.\nNice to Have\nExperience:\nExperience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).\nExperience driving organizational improvements (processes, systems, etc.)\nExperience with Kubernetes, designing scalable distributed systems,\nSalary Range Information\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\nFounded in 2012, ~400 employees (2025) and growing fast\nWe offer generous cash & equity compensation\nOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.\nWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability\nOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\nHealth, dental, and vision coverage for you and your dependents\nWellness and Commuter stipends for select roles\n401k Plan with 2% company match (USA employees)\nFlexible Paid Time Off Plan that we all actually use\nA Final Note:\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","company":"Lambda","rawCompany":"lambda","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:28:52.463Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Manager - Observability San Francisco Office","description":"We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.\n\nIf you'd like to build the world's best deep learning cloud, join us.\n\nNote: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nThe Lambda Observability team builds and operates large scale monitoring systems for our AI cloud product suite. We deploy observability solutions across the stack, from datacenter infrastructure to our in-house software stack. Keeping those offerings reliable and instantly detecting issues in the latest high-performance AI clusters is what makes us tick.\n\nAlong with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers.\nOur expertise lies at the intersection of:\nScalable Observability Platforms: We build and operate mission-critical platforms for metrics, logs, and traces based on both open-source software and systems developed in-house.\nAI Infrastructure Observability: We design observability solutions for large-scale AI clusters running the latest GPU, Networking, and Storage technologies.\nObservability Practices: We engage across the company to promote best practices, help teams adopt our platforms, and enable applications that require observability data.\nAbout the Role:\nWe are seeking a seasoned Observability Engineering Manager with deep experience in development and operation of modern observability platforms. You will hire and guide a team of observability engineers in building out critical pillars of our internal observability stack. You will lead the team in building monitoring solutions for new products, and in measuring and reporting the availability of our products.\nYour role is not just to manage people, but to coordinate the delivery of observability solutions to customers inside and outside Lambda. Your leadership will be pivotal in ensuring our ability to deliver a high-quality, reliable product experience.\nThis is a unique opportunity to work at the intersection of large-scale observability systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the systems that monitor some of the world’s most advanced AI solutions.\nWhat You’ll Do\nTeam Leadership & Management:\nGrow/Hire, lead, and mentor a team of high-performing observability engineers and SREs.\nFoster a culture of technical excellence, collaboration, and customer service.\nConduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.\nDrive outcomes by managing project priorities, deadlines, and deliverables.\nTechnical Strategy & Execution:\nWork with the engineering team to drive strategy for Lambda internal and customer observability solutions.\nImprove observability of AI infrastructure and develop new monitoring solutions as new products are introduced.\nLead the broader engineering organization in adoption of Observability and SRE practices.\nManage costs of both vendors and internally developed platforms.\nLead team in the continued development of our existing Metrics solutions based on the Prometheus and OpenTelemetry ecosystems.\nLead team in tasks related to delivery of new Logging and Tracing solutions based on Clickhouse.\nGuide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.\nParticipate in design of solutions for bringing observability data to our customers.\nIdentify gaps in our observability posture and drive resolution.\nLead the team in supporting internal customers from across Lambda engineering.\nCross-Functional Collaboration:\nCollaborate with the infrastructure and HPC teams on infrastructure monitoring and alerting.\nWork closely with Lambda product engineering teams on instrumentation and best practices usage of our platforms.\nWork to understand the needs of engineering teams and drive our Observability solutions towards self-service.\nManage a short list of vendors that provide SaaS solutions in the monitoring space.\nYou\nExperience:\n10+ years of experience in observability systems or platform engineering with at least 3 years in a management or lead role.\nDemonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment.\nSignificant experience in environments that require the monitoring of bare-metal infrastructure is preferred.\nExperience with a wide variety of modern open-source observability software.\nStrong background in software engineering and the SDLC.\nStrong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.\nExtensive experience with site reliability engineering and ability to champion improved SRE practices.\nExperience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting.\nNice to Have\nExperience:\nExperience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).\nExperience driving organizational improvements (processes, systems, etc.)\nExperience with Kubernetes, designing scalable distributed systems,\nSalary Range Information\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\nFounded in 2012, ~400 employees (2025) and growing fast\nWe offer generous cash & equity compensation\nOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.\nWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability\nOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\nHealth, dental, and vision coverage for you and your dependents\nWellness and Commuter stipends for select roles\n401k Plan with 2% company match (USA employees)\nFlexible Paid Time Off Plan that we all actually use\nA Final Note:\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","datePosted":"2026-04-12T21:28:52.463Z","dateModified":"2026-04-12T21:28:52.463Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e2969edef62d502390477c25"},"url":"https://jobsearcher.com/jobs/e2969edef62d502390477c25"}}