{"id":3170148,"url":"https://alion.io/job/minerva-solutions-architect","title":"Solutions Architect","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":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-23T16:18:09Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T09:02:33Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Solutions Architect\nABOUT 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\nEach account has a team. The account executive owns the deal. A forward deployed marketer owns the pilot's outcome. A solutions architect runs the technical evaluation and standard onboarding. A forward deployed engineer takes the accounts that need custom work.\n\nTHE ROLE\nEvery deal reaches the moment when the buyer's data team asks how it actually works. Every new customer reaches the moment their data has to land in Minerva and come out scored. Today our founders and data leads handle both, and they sit on the critical path of every deal.\nYou take both moments. You run the demo and the technical evaluation, then you run the onboarding: data in, scoring live, the customer's team trained on the platform. Most of our enterprise customers come through you. The few that need custom pipelines or models go to our forward deployed engineers, and you know when to hand one off.\nWHAT YOU'LL DO\nRun demos and technical evaluations, often on the buyer's own data: discovery with their data team, how the data moves (warehouse shares, flat files, API) and a match test on their sample.\n\nRun enterprise onboarding. Ingest first-party data, run routine scoring and get the customer's team live in our admin dashboard. Think of a pro sports team, from first file to first scored audience.\n\nBuild the simple pipelines and transformations onboarding needs, in SQL and light Python.\n\nCarry the technical side of security reviews with our compliance lead, so questionnaires don't stall deals.\n\nWrite the playbook. Standard onboarding steps, reference setups and demo environments, so the next SA ramps in weeks.\n\nBring back what buyers asked for that we couldn't show, and tell product which gaps cost deals.\n\nWHAT YOU HAVE\n3+ years in solutions engineering, solutions architecture, customer data onboarding or technical consulting, ideally at a martech, adtech, CDP, identity or analytics company, or an agency's data team.\n\nStrong SQL. You've worked hands-on with customer data and the platforms it lives in.\n\nYou've run a demo for a skeptical data team and an onboarding for an enterprise customer, and both went well.\n\nYou're customer-centric to the core. You see every problem from the customer's side first.\n\nYou're calm and clear in a room of engineers looking for the hole.\n\nYou're in New York City or willing to relocate.\n\nNICE TO HAVES\nSome data science or data engineering background, enough to have opinions about how an experiment should be set up.\n\nSnowflake, BigQuery or Databricks, and how companies share data out of them.\n\nConsumer data, identity resolution or marketing analytics.\n\nSports, financial services or travel.\n\nWHAT THIS ISN'T\nCustom modeling. When an account needs a custom pipeline or model, our forward deployed engineers build it, and you scope the hand-off.\n\nSales. The account executive owns the deal. You own whether it works.\n\nWHAT SUCCESS LOOKS LIKE\nFirst 90 days: you've run the technical evaluation and the onboarding on every account assigned to you without a founder in the room, and the first version of the onboarding playbook exists.\n\nFirst 6 months: time from signed to first scored audience has a number and keeps falling. Every account you handed to an FDE went over with a scope they accepted as written.\n\nThe numbers you own: technical win rate on your evaluations and time-to-live on your onboardings.\n\nCOMPENSATION\n$170,000-$215,000 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 customer onboarding or technical evaluation you ran: the customer's data setup, what you built or checked, what nearly broke it and how it ended. 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. 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