{"id":3637627,"url":"https://alion.io/job/glassdollar-data-product-owner-mfd","title":"Data Product Owner (m/f/d)","company":{"id":173285,"name":"GlassDollar","domain":"glassdollar.com","url":"https://alion.io/company/glassdollar","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GDPR","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Playwright","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-11-02T12:15:13Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T15:20:14Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"TL;DR\nYou own GlassDollar's company data as a product: what we collect, how good it is, what it costs and what we build next. You sit in the product team and report to our Product Owner.Our data has grown faster than our ownership of it. Feeds run, but nobody owns whether they keep running. Most relationship records aren't classified yet, and some signals users ask for, like headcount changes, have no reliable live source. Fixing that is the job.\n\nWho uses your work\nPeople in vclOSSearch, lists, projects, PoC tracking, recommendations and weekly company updates.Our AI agents & searchClear definitions, provenance, confidence and freshness, measured on our search benchmark.API and MCP partnersStable definitions and fields to build on.MarketingDirectory, rankings and reports through a quarterly data release.\nWhen these conflict, the product wins.\nWhat we're looking for\nWhat you own\nThe datapoint backlog our engineers pull from, ranked by value, cost and achievable quality. You set priorities; engineers own building and running at scale.\nThe data dictionary and schema as the source of truth.\nSignals: funding, acquisitions, shutdowns, case studies and headcount, with correct event dates and alerts when a feed stops.\nData quality: coverage, accuracy, freshness and completeness, measured monthly.\nThe data budget: vendors, APIs, scraping partners and scouting effort. You test sources on real samples before we commit, then negotiate.\nHuman-in-the-loop work: what our scouting team collects and how it flows into the database.\nYou join sprint planning and review, triage data errors reported by users and agents, and prototype and ship datapoints yourself before handing over what needs to scale.What you'll do\nYour first 90 daysBy day 90: relationship data is classified and measured, every feed has an owner and an alert, 3-5 new datapoints are live, and our search benchmark has moved against a target you set in month 1.\nMonth 1: baseline\nData dictionary v1 for the top 25 datapoints, with source, owner, user and quality numbers.\nEvery pipeline, vendor feed and scraping job inventoried with an owner, runbook and alert.\nQuick win: Scale partnership data point collection.\nNext year's data budget as a business case with a cost per datapoint.\nMonth 2: corporate-technology relationshipsDefine corporations and relationship types: mention, partnership, PoC, implementation, investment, acquisition.\nClassify and clean existing records, report precision on a sample, and classify new records on arrival.\nSet a recall and lag baseline, then improve the relationship pipeline against it.\nFind a live acquisition source and keep acquired companies out of recommendations.\n Month 3: new datapoints and agentsRun 6-8 time-boxed datapoint experiments, each ending in ship, kill or park. Ship 3-5.\nAdd provenance, confidence and freshness to the top 25 fields, and make customer data (lists, PoCs, notes) usable by agents with proper permissions.\nDecide where we go broad and where we go deep, and publish a kill list.\nStart a monthly data review with product and internal customers.\nRequirements\nWho you areBusiness-first, and technical enough to ship alone. You'd rather put a rough datapoint live this week than a perfect one next quarter.\nMust-haves\n5+ years with company, market or B2B data in a product, data or operations role, ideally at a data business, marketplace or SaaS company.\nYou've owned an outcome with a budget and trade-offs inside a product team.\nFluent Python: you write your own scrapers and enrichment scripts (requests or Playwright, pandas).\nStrong SQL on a production Postgres database.\nHands-on with LLMs for extraction and classification, measured on a labelled sample.\nPractical entity resolution and deduplication.\nWorking knowledge of GDPR for company and people data.\nYou explain data trade-offs clearly to non-technical colleagues and leadership.\nBased in Berlin, or willing to relocate.\nNice to haveGerman at reading level: DACH registers are a big part of our upside.\nBuying data from providers such as PitchBook, Crunchbase, Dealroom or company registers.\nEvent or signal pipelines: change detection, event dating, alerting.\nKnowledge of the corporate innovation, VC or emerging technology ecosystem.\nStack: Postgres, Hasura, Python, PostHog and LLM APIs.What this role is not:\nNot BI or analytics: no dashboards for their own sake.\nNot a data platform architect: engineers own infrastructure.\nNot ML research: you use models, you don't train them.\nNot customer workspace data (projects, departments, exports): that stays with product engineering.\nNot team-building from day one: you lead through scope and priorities.\nHow we hire\n Intro call (30 min) with our CEO: your background and a data trade-off you owned.\n Paid case (about one day). Around 500 companies from our database with their corporate relationship records. Classify the relationships and report precision on a sample, cost per record, and what you'd do with records you can't classify cleanly.\n Case review (60 min) with our Product Owner and an engineer: your code, quality checks and trade-offs.\n Team conversations (2 × 30 min) with sales and customer success, your internal customers.\nOffer.\nWhat we offer\n\nSalary band: €80 - €150k base + equity\nReal ownership of a core part of our product, with a budget and a direct line to leadership.\nFast impact: your data shows up for corporate customers, in agent answers and in weekly company updates within weeks.\nA small, senior team. Full-time, Berlin office.","description_format":"text","description_chars":5522,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"All levels","optional":true}]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Angel Networks & Startup Accelerators","B2B Company & Contact Data"],"lifecycle":[{"event":"open","at":"2026-11-02T21:10:01Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:0","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/glassdollar-data-product-owner-mfd","json_url":"https://alion.io/job/glassdollar-data-product-owner-mfd.json","meta":{"generated_at":"2026-11-03T15:38:26Z","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":21751,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":173285},"rest":"https://alion.io/mcp/rest/get_company?id=173285"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglassdollar-data-product-owner-mfd"},{"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%2Fglassdollar-data-product-owner-mfd"},{"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%2Fglassdollar-data-product-owner-mfd"},{"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/glassdollar-data-product-owner-mfd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglassdollar-data-product-owner-mfd"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3637627}},{"tool":"search_jobs","arguments":{"company":"glassdollar.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3637627},"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"}}