{"id":11907,"url":"https://alion.io/job/lambda-staff-product-manager-observability","title":"Staff Product Manager - Observability","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":291000,"max":430000,"currency":"USD","period":"year","gross":null,"usd_annual":430000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"InfiniBand","optional":false},{"name":"Machine Learning","optional":false},{"name":"NCCL","optional":false},{"name":"AWS","optional":true},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"HPC","optional":true},{"name":"Prometheus","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-07-16T22:39:01Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T11:24:52Z","board_verified":true,"closed_at":null,"days_open":91,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":91},"description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\nIf you'd like to build the world's best AI cloud, join us.\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\nAbout the Role\nA customer runs distributed training across 64 to 1,024+ GPUs (Graphics Processing Units). When a job slows down, customers need one question answered instantly: is it my code, NCCL (NVIDIA Collective Communications Library) configuration issue, or a bad InfiniBand link? Observability is how Lambda answers that question. It lets customers distinguish their code, their configuration, and our platform in minutes, and that transparency is a core reason teams trust Lambda with their largest training runs. This role makes that transparency real.\nYou will be the product manager who owns observability as a product across Lambda's cloud. That means everything customers see: GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics. It also means the platform telemetry layer underneath, which powers Lambda's internal fleet operations and reliability work. You will partner daily with SRE (Site Reliability Engineering), fleet engineering, and the console and API (Application Programming Interface) teams to bring one coherent observability experience to customers and operators alike. This role reports to the Head of Platform Product Management.\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep observability domain experience is a strong plus, but insight, influence, and execution are the bar.\nIf you love turning raw telemetry into products customers rely on, and you want your work to be the reason a research team trusts their 1,024-GPU training run, we'd love to hear from you. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.\nWhat You'll Do\nOwn the Observability Roadmap: Define and drive the product strategy for observability across Lambda's cloud, from single On-Demand GPU Instances to 1-Click Clusters at 64 to 1,024+ GPU scale.\n\nTurn Telemetry into Product: Decide which signals customers see, including GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics, and how they see them in the console and the Lambda Cloud API.\n\nShip Diagnostics That Answer the First Question: Build experiences that let a customer quickly distinguish their own code or configuration issues from platform problems such as a failing node or a degraded InfiniBand link.\n\nWork Backwards: One of the key things customers want to know is if their application is causing issues or if it is Lambda. If it is Lambda, they want to know if it is within the expected tolerance. You will work with each product to define and productize SLIs, SLOs, and SLAs.\n\nBuild the Platform Telemetry Layer: Partner with SRE and fleet engineering to define the internal telemetry that powers fleet operations and reliability, so one data foundation serves both customers and operators.\n\nLive with Customers: Spend time with AI research labs, AI startups, and enterprise ML (machine learning) teams to understand how they debug distributed training and inference, and turn that signal into decisions about what to build next.\n\nWin the Room: Bring engineers, designers, and executives along on your roadmap through clear writing and evidence, not authority.\n\nMeasure and Iterate: Define the success metrics for observability features, instrument adoption, and use the results to decide what ships next.\n\nDeliver with the Console and API Teams: Drive observability capabilities through to launch across the console, the Lambda Cloud API, and cluster tooling, so customers can consume telemetry however they work.\n\nYou\nHave 7+ years of product management experience, including 3+ years on technical infrastructure, platform, or developer-facing products\n\nTurn data and customer signal into a clear decision about what to build next, and can show examples where your insight changed a roadmap\n\nWin over engineers, designers, executives, and customers without formal authority, and have shipped products that required cross-team adoption\n\nHave taken products from idea through launch, measurement, and iteration, and can speak to what you learned from the metrics after shipping\n\nAre comfortable in deeply technical conversations about distributed systems, and can hold your own with engineers on topics like metrics pipelines, hardware health, and failure modes\n\nCan write crisply, so a one-page document from you is enough to align a room\n\nAre energized by ambiguity, and can be the first product manager to own a domain and give it shape\n\nAble to define iterative plans that move an organization from the current state towards the desired outcome\n\nNice to Have\nHave shipped monitoring or observability products, such as those in the Datadog, Grafana, or Prometheus class\n\nHave worked with HPC (high performance computing) or distributed systems telemetry, including interconnect and fabric-level metrics\n\nHave built developer tools or API-first products\n\nHave hands-on exposure to distributed training stacks such as PyTorch with NCCL, or to GPU fleet tooling such as DCGM (Data Center GPU Manager)\n\nHave worked in a usage-based cloud infrastructure business\n\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.\nAbout Lambda\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\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.","description_format":"text","description_chars":7979,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Servers & Data Center Hardware","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-07-16T22:39:01Z"},{"event":"close","at":"2026-08-25T06:44:58Z"},{"event":"reopen","at":"2026-10-15T00:15:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19","filings_12m":19,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":267500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":5}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.776,"p_room":0.28,"age_days":91,"expected_fill_days":45,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":430000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-staff-product-manager-observability","json_url":"https://alion.io/job/lambda-staff-product-manager-observability.json","meta":{"generated_at":"2026-10-16T14:51:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14561,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":32991},"rest":"https://alion.io/mcp/rest/get_company?id=32991"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flambda-staff-product-manager-observability"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flambda-staff-product-manager-observability"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flambda-staff-product-manager-observability"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lambda-staff-product-manager-observability\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flambda-staff-product-manager-observability"}]}