{"id":2243705,"url":"https://alion.io/job/nebius-senior-technical-program-manager-llm-inference","title":"Senior Technical Program Manager – LLM Inference","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":135,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":147200,"max":224000,"currency":"USD","period":"year","gross":null,"usd_annual":224000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-08-10T15:48:27Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T13:38:34Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"About Nebius:\nNebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.\nRole \nAs a Technical Program Manager in Token Factory, your primary focus will be coordinating complex cross-functional projects, including new model launches, bringing new GPU platforms into production serving, engineering quality and platform-wide improvement projects, and the end-to-end delivery pipeline for new AI models. You will bring together multiple engineering teams, understand the critical path, proactively manage dependencies and risks, and ensure that ambitious technical goals are delivered predictably, on time, and without unnecessary operational overhead. \nYour responsibilities will include: \nLeading template and model delivery - from weights through validation to production endpoint. \nCoordinating model onboarding and production delivery, from infrastructure readiness to successful customer availability. \nRunning the Applied AI / Customer Delivery sync - driving open issues to resolution and unblocking teams between meetings. \nCoordinating the bring-up of new GPU platforms for serving - engine and kernel readiness, benchmarking against current hardware, and template migration once validated. \nPartnering with Token Factory Product on the serverless launch path - ensuring validated templates hand off cleanly into catalogue, model card, and public availability. \nBuilding and maintaining execution plans, identifying risks early, and ensuring blockers are resolved before they impact delivery. \nWorking closely with engineering managers, technical leads, product managers, SRE, infrastructure, networking, security, and other platform teams. \nFacilitating technical decision-making and ensuring ownership and accountability across complex cross-team projects. \nContinuously improving engineering delivery processes within Applied AI's delivery chainto make execution more predictable while maintaining a sustainable pace for engineering teams. \nRequirements \nExcellent project management and delivery skills with the ability to break down ambiguous initiatives into executable plans \nAbility to identify critical paths, manage complex dependency graphs, and coordinate multiple parallel workstreams \nStrong risk management and prioritization skills, with the ability to make progress in fast-changing environments \nExcellent written and verbal communication skills in English \nComfortable leading incident coordination, facilitating discussions, documenting decisions, and driving follow-up actions \nStrong technical background that allows you to understand engineering discussions, infrastructure dependencies, and architectural trade-offs without being the primary implementer \nIt will be an added bonusif you have \nExperience working with GPU infrastructure, AI/ML platforms, or large-scale inference systems \nExperience delivering cloud infrastructure or data center deployment projects \nFamiliarity with capacity planning, production operations, and reliability engineering \nPrevious experience in high-growth infrastructure or platform engineering organizations where priorities change quickly and execution speed matters \nPay Transparency\nWe offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\nBase Compensation Range\n$147,200—$224,000 USD\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. 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