{"id":4053428,"url":"https://alion.io/job/elorian-technical-program-manager","title":"Technical Program Manager","company":{"id":674578,"name":"Elorian","domain":"elorian.ai","url":"https://alion.io/company/elorian","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":null,"employment_type":"full_time","work_mode":"hybrid","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":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-11-10T23:19:02Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T03:11:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nWe are a well-funded, early-stage AI research and product lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers-including Andrew Dai, previously an engineering leader on Gemini-our mission is to push the frontier of visual and multimodal intelligence. Our first model, Glimpse, launched publicly in October 2026.\nOur team currently consists of 25 world-class scientists and engineers. We raised a $55M seed round led by Altimeter Capital, Menlo Ventures, Striker VC, and NVIDIA. We are tackling foundational problems in artificial intelligence and translating cutting-edge multimodal research into scalable, real-world systems.\nAbout the role\nAs our Technical Program Manager, you will be the operational backbone connecting research, engineering, and product. You will turn open-ended challenges into streamlined execution-running core data pipelines, coordinating complex model evaluation cycles, and steering launch readiness.\nThis is a high-visibility, hands-on role where you partner directly with our co-founders and researchers. If you enjoy cutting through ambiguity, designing lightweight systems that eliminate friction, and being close to frontier model development, you will thrive here.\nWhat you will do\nDrive Model & Milestone Delivery: Own cross-functional programs end to end-from benchmark readiness and eval cycles to public model launches-keeping timelines clear and unblocking technical teams.\n\nScale Data & Evaluation Operations: Partner with researchers to translate experimental goals into reliable data collection, annotation pipelines, and quality-assurance loops (gold sets, calibration, error analysis).\n\nLead Partner & Vendor Programs: Evaluate, onboard, and manage external data providers and compute/data vendors, ensuring delivery quality, cost efficiency, and smooth procurement.\n\nEstablish Lightweight Operating Systems: Build simple, pragmatic trackers, documentation standards, and launch checklists that help the team move fast without dropping critical details.\n\nBridge Technical & Go-to-Market Workstreams: Collaborate across research, product, and founders to prepare evaluation datasets, support pilot deployments, and coordinate partner-facing deliverables.\n\nWhat we are looking for\nTechnical Program Ownership: 3+ years managing complex, cross-functional programs in fast-paced software, infrastructure, or data-intensive technical environments.\n\nCuriosity & Technical Fluency: Comfort collaborating directly with ML scientists and software engineers, with an eagerness to quickly ramp up on model evaluation workflows and AI concepts.\n\nExecution & Systems Mindset: Demonstrated ability to turn broad, undefined goals into structured workflows with high attention to operational quality and follow-through.\n\nClear, Concise Communication: Strong written and verbal communication skills capable of translating technical requirements into actionable plans and clean documentation.\n\nStartup Agility: A proactive, roll-up-your-sleeves approach to tackling high-priority problems across operations, tooling, and partner logistics.\n\nNice to have\nPrior exposure to frontier model development workflows, data labeling/annotation pipelines, or model evaluation cycles.\n\nExperience navigating vendor evaluations, service agreements, or procurement workflows.\n\nBackground operating in high-growth, early-stage, or research-heavy engineering environments.","description_format":"text","description_chars":3456,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Multimodal AI","AI Research 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