{"id":903020,"url":"https://alion.io/job/human-archive-head-of-engineering-operations","title":"Head of Engineering Operations","company":{"id":173852,"name":"Human Archive","domain":"humanarchive.ai","url":"https://alion.io/company/human-archive","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":54,"open_postings":21,"ghost_share":0.762,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":104000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":50},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embodied AI","optional":false},{"name":"Claude","optional":true},{"name":"Claude Code","optional":true},{"name":"Linux","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-14T11:12:07Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-14T16:39:51Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":60},"description":"About Human Archive\nHuman Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence.\nHumans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.\nFounded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.\nThe deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.\nWe are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.\nAbout the role\nWe operate a fleet of camera and sensor devices in the field at scale. They generate large volumes of recordings on removable media, and every recording has to reach cloud storage intact, correctly identified, and traceable back to the exact device, card and operator that produced it.\nThis role owns the technical layer underneath that pipeline. Day-to-day offload is run by an operations lead and their team; you are the person who makes their work possible and correct. You own the ingest stations, the tooling that runs on them, the hardware fleet, quality control, and the standards everyone follows. When something fails in a way the operations team cannot resolve, it comes to you.\nIt is hands-on. You will spend time at ingest stations, in the quality control area, and at deployment sites, and you will write scripts to make all of it less manual.\nIt suits someone comfortable with a Linux terminal and a screwdriver in the same afternoon, who finds an unaccounted-for storage card genuinely intolerable.\nWhat you’ll do\nOwn the ingest pipeline (the operations team runs it)\nBuild, configure and maintain ingest stations - hardware, operating system, tooling - and replicate that build reliably across locations\n\nOwn the ingest tooling in the field: deploy updates, fix what breaks, and carry requirements back to the software team\n\nDefine the verification and media lifecycle rules the operations team follows - what must pass before a card is released for reuse, and what happens when it doesn’t\n\nAct as escalation for failed and partial ingests: determine whether the cause is media, device, station, tooling or procedure, and fix the underlying issue rather than the instance\n\nAudit that the process is actually being followed, and close the gaps you find\n\nOwn the hardware fleet\nMaintain inventory of capture devices, memory cards and drives across locations, with full chain of custody\n\nRun reconciliation and investigate discrepancies to root cause rather than writing them off\n\nSpecify and evaluate hardware - cards, readers, hubs, enclosures, drives - and manage returns and warranty claims with suppliers\n\nPlan capacity: how many cards, how many drives, what rotation, with margin\n\nQuality control\nInvestigate recording failures with controlled tests rather than guesswork; isolate whether a fault sits in the device, the media, the station or the procedure\n\nDecide what gets escalated, repaired or retired, and document the evidence behind the call\n\nDefine capture configuration standards and verify device settings in the field\n\nSupport the teams\nBe the technical escalation point for the operations lead, the quality control team and field operators\n\nTrain operators on tooling and hardware, and write procedures a new joiner can follow unsupervised\n\nTravel to deployment sites as needed\n\nReport\nProduce recording yield, data loss and operator performance reporting\n\nBe able to say whether a bad number reflects a real failure or an artefact of how it was measured\n\nAutomate\nWrite Python and shell scripts to remove manual steps from the workflow\n\nWork with the software team on tooling requirements, and file precise bug reports when the software gets in the way\n\nWhat we’re looking for\nA technical background - a degree in engineering or computer science, or equivalent hands-on experience. This is an engineering role that happens to involve hardware and field work, not a coordination role with a technical veneer\n\nComfort in Linux: mounting and formatting media, filesystems, permissions, scheduled jobs, reading logs\n\nWorking Python - enough to script a batch job, walk a directory tree, or call an API\n\nFluent use of AI tools - Claude, Claude Code, Cowork or equivalent - as part of how you work day to day. We expect you to use them to write scripts, investigate failures and draft procedures faster than you would alone, and to know where their output needs checking before it reaches a station or an operator\n\nHardware troubleshooting instinct: forming a hypothesis, testing it, eliminating causes one at a time\n\nReal care about data integrity and chain of custody, and the discipline to follow a verification step even when it is inconvenient\n\nClear written English - you will write procedures other people depend on\n\nWillingness to work with physical equipment and travel to sites\n\nComfort in an environment where the process may not exist yet and you are expected to define it\n\nNice to have\nExperience with cameras or sensor hardware\n\nSQL, or experience querying an internal API for reporting\n\nStorage systems - RAID, ZFS, network-attached storage administration\n\nPrior work in data collection, field operations, logistics or laboratory operations\n\nBarcode or asset-tracking systems","description_format":"text","description_chars":6217,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-09-14T12:24:44Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.263,"p_room":0.28,"age_days":60,"expected_fill_days":26,"reasons":["conf:3","stale_co","win:tail","crowd:"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/human-archive-head-of-engineering-operations","json_url":"https://alion.io/job/human-archive-head-of-engineering-operations.json","meta":{"generated_at":"2026-11-14T19:36:32Z","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":24117,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":173852},"rest":"https://alion.io/mcp/rest/get_company?id=173852"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhuman-archive-head-of-engineering-operations"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fhuman-archive-head-of-engineering-operations"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fhuman-archive-head-of-engineering-operations"},{"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/human-archive-head-of-engineering-operations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhuman-archive-head-of-engineering-operations"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":903020}},{"tool":"search_jobs","arguments":{"company":"humanarchive.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":903020},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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