{"id":68120,"url":"https://alion.io/job/minerva-forward-deployed-engineer-data-systems","title":"Forward Deployed Engineer","company":{"id":24947,"name":"Minerva","domain":"minerva.ai","url":"https://alion.io/company/minerva","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":215000,"max":241000,"currency":"USD","period":"year","gross":null,"usd_annual":241000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-23T14:53:43Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T14:34:19Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":127},"description":"ABOUT MINERVA\nMinerva builds AI for marketing leaders. We work together with marketers to automate and accelerate their workflows with AI agents. Our agents augment the end-to-end workflow of the marketer by automating analysis, campaign planning, activation, measurement and reporting.\nCustomers like the NBA, Ramp, Wander, Hard Rock Stadium Group and Luxury Presence use Minerva to develop a better understanding of their customers and introduce AI specifically built to understand the customer into their commercial organizations. Our campaigns outperform other tools because we built the entire stack: from identity to enrichment to data integration as well as agents to action and report on the analysis.\nWe've raised $20M from The General Partnership, 8VC, Lingotto, NBA Investments, Topology Ventures, Future Positive, Background Capital and many others. Our team brings together operators and investors from Citadel, Dentsu, Bridgewater, Meta Superintelligence, Growthloop, Amazon and Lazard, alongside engineers and researchers from Berkeley, MIT, Stanford and Cambridge.\nHOW WE DEPLOY\nEvery enterprise account moves from a data test to a pilot to production. The technical win usually decides the deal.\n\nEvery enterprise account has a team. The account executive owns the deal, and the account manager owns the relationship and the renewal after it. A forward deployed marketer owns the pilot's outcome. A solutions engineer runs the technical evaluation and gets standard accounts live on our product. A forward deployed engineer builds what our product can't do yet.\n\nTHE ROLE\nOur solutions engineers get standard accounts live on our product. Some accounts need more than the product does today. A pro sports team with ten years of ticketing data in three systems. A brand that needs a model we haven't built yet. First-party data that needs real work before anyone can trust it.\nThose accounts get you. You're a data scientist who ships production pipelines, or a data engineer who builds models, embedded with our most complex customers. You build the custom onboarding, pipelines and models that make Minerva work in their world, then bring what you learned home so the next customer gets it out of the box.\nYou work closely with our CTO and data science team, alongside each account's AE, forward deployed marketer and solutions engineer.\nWHAT YOU'LL DO\nGet the data ready. Build custom ingestion and pipelines for accounts whose data doesn't fit standard onboarding, and make the call on whether the data is right before anyone builds on it.\n\nBuild custom models. Propensity, lookalike and scoring models trained on a customer's first-party data and our consumer graph, when the standard models aren't enough.\n\nRun scoring in production for your accounts, and own its accuracy.\n\nBuild the net-new. When an expansion needs something we don't have, scope it with the forward deployed marketer and build it.\n\nMake the one-offs standard. Turn custom pipelines and models into patterns our data platform team can productize.\n\nBe the technical voice in the room when a customer's data team wants to know how it actually works.\n\nWHAT YOU HAVE\n4+ years as a data scientist or data engineer shipping to production in a data-heavy setting: models that ran on real data, pipelines other people depended on.\n\nStrong Python and SQL, experience with dbt and an orchestrator like Dagster or Airflow, and a cloud warehouse (Snowflake, BigQuery or Databricks).\n\nYou've built predictive models such as propensity, LTV, lookalike or lead scoring, and you know how to tell a customer when their data won't support one.\n\nMessy, multi-source data doesn't scare you: identity resolution, entity matching, consumer or behavioral data.\n\nYou've worked directly with customers or non-technical stakeholders, and they asked for you again.\n\nYou're in New York City or willing to relocate, and comfortable traveling to customers.\n\nNICE TO HAVES\nConsumer data, identity graphs, adtech or martech.\n\nExperiment design: holdouts and lift measurement.\n\nForward deployed, solutions or consulting experience at a data company.\n\nSports, financial services or travel, where our enterprise motion is strongest.\n\nWHAT THIS ISN'T\nStandard onboarding. Our solutions engineers get standard accounts live on our product. You come in when an account needs something built, before or after the deal closes.\n\nA research role. Everything you build runs for a paying customer.\n\nWHAT SUCCESS LOOKS LIKE\nFirst 90 days: you've taken one complex account from raw data to production scoring. Your data-readiness call is written down, and the customer's data team is on your side.\n\nFirst 6 months: time-to-data-ready on complex accounts has a number, and it's falling. At least one custom pipeline or model has become a standard pattern.\n\nThe numbers you own: time-to-data-ready and data quality on your accounts.\n\nCOMPENSATION\n$215,000-$241,000 base salary, depending on experience, plus a variable bonus targeted at 10% of base. Meaningful equity. Medical, dental and vision.\nHOW TO APPLY\nSkip the cover letter. Walk us through one model or pipeline you built on someone else's messy data: what the data looked like, what you built, what broke and how it held up in production. A few paragraphs.\nWHERE WE WORK\nWe work in person from our office at 300 Kent Avenue in Williamsburg, Brooklyn.\nBENEFITS\nEvery full-time role includes equity; medical, dental and vision coverage; unlimited PTO; a monthly fitness stipend; and an annual company offsite. We'd rather pay people well than buy perks nobody uses.\nPAY TRANSPARENCY\nThe salary range in this posting is our good-faith range for the role in New York City at the time of posting. Where an offer lands depends on the level and experience we see in the interview process.\nAPPLYING\nApply on this page. We don't take applications by email, and we don't accept unsolicited submissions from recruiting agencies. If you need an accommodation at any point in the process, write to .\nWORK AUTHORIZATION\nYou'll need to be authorized to work in the United States. We consider visa sponsorship case by case, so tell us on the application if you'll need it.\nEQUAL OPPORTUNITY\nMinerva is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, citizenship status, age, disability, marital status, veteran status or any other characteristic protected by federal, New York State or New York City law.\nRECRUITMENT FRAUD\nOur hiring runs through Ashby and @minerva.io email addresses. We will never ask you for money, bank details or other financial information during the process. If a message claiming to be from Minerva looks wrong, forward it to .","description_format":"text","description_chars":6813,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["AI Agents","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2026-06-23T14:53:43Z"},{"event":"close","at":"2026-08-22T14:54:19Z"},{"event":"reopen","at":"2026-10-27T16:19:49Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.263,"p_room":0.28,"age_days":128,"expected_fill_days":24,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":241000,"is_top_pay":true},"html_url":"https://alion.io/job/minerva-forward-deployed-engineer-data-systems","json_url":"https://alion.io/job/minerva-forward-deployed-engineer-data-systems.json","meta":{"generated_at":"2026-10-30T18:36:57Z","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":7760,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":24947},"rest":"https://alion.io/mcp/rest/get_company?id=24947"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fminerva-forward-deployed-engineer-data-systems"},{"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%2Fminerva-forward-deployed-engineer-data-systems"},{"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%2Fminerva-forward-deployed-engineer-data-systems"},{"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/minerva-forward-deployed-engineer-data-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fminerva-forward-deployed-engineer-data-systems"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":68120}},{"tool":"search_jobs","arguments":{"company":"minerva.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":68120},"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. Docs: https://alion.io/developers"}}