{"id":1198249,"url":"https://alion.io/job/vapi-head-of-data","title":"Head of Data","company":{"id":977,"name":"Vapi","domain":"vapi.ai","url":"https://alion.io/company/vapi","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":8,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","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":{"min":200000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"LLM","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vapi","optional":false},{"name":"Voice Agents","optional":false},{"name":"Feature Store","optional":true}],"status":"live","first_seen_at":"2026-09-24T19:10:09Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T21:22:44Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Vapi (/ˈVɑːpi/):\nVoice AI that resolves, not transfers\n\nPowering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life\n\nTrusted by 1 million developers building the future of voice agents\n\nBacked by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised\n\nTry talking to Vapi now!\n\nWhy We’re Hiring This Role:\nVapi has more data than clarity. One billion calls, millions of developer events, and an enterprise book growing 10x, but no single source of truth.\n\nFinance, GTM, Product, and Engineering each have their own numbers. Alignment breaks down exactly when it matters most.\n\nYou will be our first Head of Data. You will build the function from scratch: the canonical metrics, the infrastructure behind them, and the culture that trusts them.\n\nThis is a leadership role reporting to the CFO. Every function's ability to move fast and move together depends on the work you do.\n\nWhat You’ll Do:\nOwn the single source of truth. Define and own Vapi's core metric set (ARR, NRR, churn, call volume, latency, reliability) and build the canonical data model every team pulls from. One definition of a billable call. One definition of an active customer. One number in the board deck.\n\nMake the GTM funnel measurable end to end. From signup and first call, through activation, PQL, MQL, SQL, SQO, PoC, and closed won, to time-to-live, adoption health, expansion, and retention. Arbitrate conflicting definitions and drive adoption of shared logic.\n\nRun the operating cadence. Own the data, dashboards, and narrative behind weekly and monthly business reviews, and instrument OKRs with reliable, current data.\n\nBuild and scale the data platform. Own the modern data stack end to end (warehouse, ingestion, transformation, orchestration, BI). Ship well-documented, tested dbt models and enforce data contracts between producers and consumers.\n\nHandle voice-API scale. Design pipelines for call telemetry, transcript events, usage metering, billing signals, and model performance traces. Set freshness SLAs, alerting, and on-call coverage so data issues surface before they become decision errors.\n\nAI/LLM observability and monitoring. Build pipelines for AI/LLM data pipeline monitoring, model telemetry, and prompt-to-performance observability.\n\nUnlock self-serve analytics. Build canonical and semantic layers where Sales, Finance, CS, Product, and Engineering answer their own questions. Ship function-specific dashboards: GTM funnel and PoC win rate, revenue and cohorts, reliability and latency, activation and PQL rate.\n\nOwn governance, quality, and access. Build the definitions library, data dictionary, lineage, and access controls. Partner with Security and Legal on retention, residency, and PII and voice-data handling under HIPAA, GDPR, CCPA, and customer DPAs.\n\nBe a strategic partner. Bring data into pricing, market expansion, product bets, and customer health. Partner with Finance on revenue recognition, usage-based billing, and investor reporting. Partner with GTM on pipeline health, territory design, and retention modeling.\n\nBuild the team. Own headcount planning, hire the first data engineers and analysts, and set the bar for high-craft, high-trust data work. Make build-versus-buy calls and own data vendor relationships.\n\nWhat Success Looks Like:\nFirst 30 days: Audit every source of truth today. Publish a metric definition v1 and a prioritized roadmap agreed with the CFO and leadership team.\n\nFirst 90 days: One canonical model for ARR, NRR, and billable calls in production. Weekly business review runs on your data.\n\nFirst 6 months: GTM funnel measurable end to end. Self-serve dashboards live for each function. First hires on the team.\n\nFirst year: Leaders trust the numbers without asking where they came from. Data is a competitive advantage, not a shared frustration.\n\nWho You Are:\n10+ years in data, analytics, or data engineering, including building or leading a data function at a high-growth technology company.\n\nYou have shipped and sustained a company-wide single source of truth: aligned conflicting definitions, won over resistant stakeholders, and kept trust in the numbers over time.\n\nDeep fluency in the modern data stack: dbt, Databricks, Fivetran or PostHog, and a BI layer like Hex. Strong SQL is a baseline; Python comfort is a plus.\n\nBias to action. You ship a working dashboard before you build the perfect one, then iterate.\n\nYou have built pipelines that handle billions of event-driven rows and know where the failure modes hide.\n\nYou partner equally well with Finance, Product, Engineering, and GTM. You earn trust by listening, scoping precisely, and delivering on time.\n\nSharp judgment on build-versus-buy, technical debt, and when good enough is right. You do not over-engineer for a company this size.\n\nClear, direct communicator. You can explain a metric discrepancy to a CFO and a pipeline architecture to a data engineer in the same day.\n\nExperience with AI or ML data infrastructure: feature stores, model evaluation pipelines, or LLM observability.\n\nBonus Points:\nFirst or founding data leader at a Series A through C company.\n\nBackground at a developer-facing platform, API business, or usage-based SaaS company.\n\nFamiliarity with usage-based billing data models and revenue metering systems.\n\nHands-on HIPAA or GDPR compliance in an analytics context.\n\nBuilt data products for external customers, not just internal stakeholders.\n\nHow We Work:\nBuild something worthy of love\nCraft matters. We aim to build products and experiences customers genuinely love, not just tolerate.\n\nCommit and follow through\nWe finish what we start and build trust by being people others can count on.\n\nWhy not today?\nWe value urgency and momentum. The fastest path to customer value usually wins.\n\nSeek raw input\nWe go directly to customers, data, and teammates instead of relying on summaries or assumptions.\n\nIt’s our problem\nWe operate as one team. We share credit, own mistakes together, and support each other when things get hard.\n\nBe direct and kind\nWe give feedback clearly, respectfully, and without delay.\n\nWhy Vapi:\nGenerational impact: Build the human interface for every business\n\nOwnership culture: Many of us are previous founders\n\nKind team: The founders, Jordan and Nikhil, are Canadians\n\nTier-1 Investors: YC, KP seed, Bessemer Series A\n\nWhat We Offer:\nReal stake: We offer a competitive salary and excellent equity ownership\n\nComprehensive health coverage: medical, dental, and vision plans\n\nTeam love: We love hanging out, and we do quarterly off-sites\n\nFlexible time off: take what you need\n\nMore: catered meals, transportation, gym, and a $10k annual L&D budget","description_format":"text","description_chars":6685,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","Speech & Audio AI","AI Agents","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-09-24T19:33:17Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":83,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":false},"html_url":"https://alion.io/job/vapi-head-of-data","json_url":"https://alion.io/job/vapi-head-of-data.json","meta":{"generated_at":"2026-09-26T00:51:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":781,"day_limit":5000,"remaining_today":4219,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}