{"id":42570,"url":"https://alion.io/job/universalagi-ai-product-engineer","title":"Product Engineer","company":{"id":8996,"name":"Universalagi","domain":"universalagi.com","url":"https://alion.io/company/universalagi","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":310000,"period":"year","method":"role_country_seniority_unknown","sample_n":8485},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Next.js","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-06-15T20:47:31Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-17T22:16:33Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":123},"description":"San Francisco | 5 Days Onsite\nLocation: Onsite in San Francisco\nCompensation: Competitive Salary + Equity\nWho We Are\nEngineering simulation is one of the last major categories of software that AI hasn't rebuilt. The tools used to design aircraft, ships, reservoirs, and medical devices still run on numerical methods that are decades old, and an engineer can wait a full day for a single answer. UniversalAGI is building foundation models that learn physics directly from data, and they are already running in early deployments on real computational fluid dynamics and reservoir engineering problems for some of the largest industrial and defense organizations in the world.\nWe are a team of 25 researchers and engineers in San Francisco backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico).\nAbout the Role\nUniversalAGI is hiring a Product Engineer to own and extend our customer-facing product across the stack. You will join a team of 25 researchers, engineers, and domain experts supporting early deployments in computational fluid dynamics and oil and gas reservoir engineering.\nYou will build the product experience through which engineers import CAD and 3D geometry, simulation and test data, and operating conditions; configure model workflows; monitor simulations and model jobs; compare predictions against trusted benchmarks; and deploy or export results.\nThis role owns the customer-facing product layer, including user workflows, interfaces, APIs, data models, visualization, and integrations. You will partner with platform engineering on the underlying ML execution infrastructure and with researchers who own model architectures and scientific methods.\nYou’ll work directly with the CEO, founding team, and customers to turn advanced research into reliable, repeatable engineering workflows.\nWhat You'll Do\nOwn Customer Workflows: Build the end-to-end product experience from geometry and engineering data through model configuration, benchmarked predictions, and deployed or exported results.\n\nShip Across the Stack: Develop production features using React, TypeScript, Next.js, Python, databases, cloud services, and APIs.\n\nDesign Clear Product Abstractions: Create intuitive interfaces, workflow templates, and APIs for simulations, datasets, model jobs, evaluations, uncertainty, and engineering outputs.\n\nWork Directly with Customers: Understand real engineering processes, identify recurring needs, and turn customer-specific lessons into scalable product capabilities.\n\nOwn Production Quality: Improve observability, performance, versioning, migrations, compatibility, and incident diagnosis across the customer-facing product.\n\nShape Product and Architecture: Partner with the founding team, Research, and Platform Engineering to define priorities, interfaces, and technical direction.\n\nQualifications\nEnd-to-End Product Engineering: Experience shipping and operating customer-facing products across React/TypeScript frontends, Python backends, APIs, and data systems.\n\nProduct Judgment: Ability to turn complex technical workflows into clear, effective experiences for expert users.\n\nProduction Ownership: Comfortable designing maintainable systems, debugging production issues, and managing reliability, rollouts, and migrations.\n\nCustomer Focus: Able to work directly with technical users, make sound tradeoffs, and own outcomes in an early-stage environment.\n\nBonus Qualifications\nExperience building ML-backed products, developer tools, or complex B2B software.\n\nExperience with 3D or scientific visualization, WebGL, CAD, or CAE.\n\nExperience with enterprise authentication or customer-controlled deployments.\n\nEarly-stage or zero-to-one product experience.\n\nCultural Fit\nTechnical Respect: Ability to earn respect through hands-on technical contribution\n\nIntensity: Thrives in our unusually intense culture - willing to grind when needed\n\nCustomer Obsession: Passionate about solving real customer problems, not just cool tech\n\nDeep Work: Values long, uninterrupted periods of focused work over meetings\n\nHigh Availability: Ready to be deeply involved whenever critical issues arise\n\nCommunication: Can translate complex technical concepts to customers and team\n\nGrowth Mindset: Embraces the compounding returns of intelligence and continuous learning\n\nStartup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats\n\nWork Ethic: Willing to put in the extra hours when needed to hit critical milestones\n\nTeam Player: Collaborative approach with low ego and high accountability\n\nWhat We Offer\nOpportunity to shape the technical foundation of a rapidly growing foundational AI company.\n\nWork on cutting-edge industrial AI problems with immediate real-world impact.\n\nDirect collaboration with the founder & CEO and ability to influence company strategy\n\nCompetitive compensation with significant equity upside.\n\nIn-person first culture - 5 days a week in office with a team that values face-to-face collaboration.\n\nAccess to world-class investors and advisors in the AI space.\n\nBenefits\nWe provide great benefits, including:\nCompetitive compensation and equity.\n\nCompetitive health, dental, vision benefits paid by the company.\n\n401(k) plan offering.\n\nFlexible vacation.\n\nTeam Building & Fun Activities.\n\nGreat scope, ownership and impact.\n\nAI tools stipend.\n\nMonthly commute stipend.\n\nMonthly wellness / fitness stipend.\n\nDaily office lunch & dinner covered by the company.\n\nImmigration support.\n\nHow We’re Different\n“The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again... who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly.\" - Teddy Roosevelt\nAt our core, we believe in being “in the arena.” We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful.\nIf you're ready to join the future of physics simulation, push creative boundaries, and deliver impact, UniversalAGI is the place for you.","description_format":"text","description_chars":6562,"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":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Simulation & Digital Twin Software","AI for Science"],"lifecycle":[{"event":"open","at":"2026-06-15T20:47:31Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"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":1}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.2,"p_room":0.28,"age_days":123,"expected_fill_days":27,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/universalagi-ai-product-engineer","json_url":"https://alion.io/job/universalagi-ai-product-engineer.json","meta":{"generated_at":"2026-10-17T22:44:22Z","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":837,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":8996},"rest":"https://alion.io/mcp/rest/get_company?id=8996"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funiversalagi-ai-product-engineer"},{"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%2Funiversalagi-ai-product-engineer"},{"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%2Funiversalagi-ai-product-engineer"},{"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/universalagi-ai-product-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funiversalagi-ai-product-engineer"}]}