---
title: Head Data at Vapi in San Francisco, CA
description: Vapi is hiring for the Head Data role in San Francisco, CA. Pays $200K–$240K per
  year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/head-data-at-vapi-01a0d4f8-161f-76d7-836c-74768669ea28
date: 2026-09-28T00:59:21Z
og_description: Join Vapi as Head Data in San Francisco, CA. Pays $200K–$240K per year. Full-time,
  hybrid role. Requires 10+ years of experience.
og_image: https://www.foundrole.com/og/plpcmn.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | Vapi |
| **Location** | San Francisco, CA (Hybrid) |
| **Salary** | $200K/yr - $240K/yr |
| **Type** | Full Time |
| **Posted** | Sep 24, 2026 |
## Description

**Vapi (/ˈVɑːpi/):**

- Voice AI that resolves, not transfers

- Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life

- Trusted by 1 million developers building the future of voice agents

- Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised

- [Try talking to Vapi now!](https://vapi.ai/)

## **Why We’re Hiring This Role:**

- Vapi has more data than clarity. One billion calls, millions of developer events, and an enterprise book growing 10x, but no single source of truth.

- Finance, GTM, Product, and Engineering each have their own numbers. Alignment breaks down exactly when it matters most.

- You 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.

- This is a leadership role reporting to the CFO. Every function's ability to move fast and move together depends on the work you do.

## **What You’ll Do:**

- **Own 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.

- **Make 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.

- **Run the operating cadence.** Own the data, dashboards, and narrative behind weekly and monthly business reviews, and instrument OKRs with reliable, current data.

- **Build 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.

- **Handle 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.

- **AI/LLM observability and monitoring.** Build pipelines for AI/LLM data pipeline monitoring, model telemetry, and prompt-to-performance observability.

- **Unlock 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.

- **Own 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.

- **Be 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.

- **Build 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.

- **What Success Looks Like:**

  * **First 30 days:** Audit every source of truth today. Publish a metric definition v1 and a prioritized roadmap agreed with the CFO and leadership team.

  * **First 90 days:** One canonical model for ARR, NRR, and billable calls in production. Weekly business review runs on your data.

  * **First 6 months:** GTM funnel measurable end to end. Self-serve dashboards live for each function. First hires on the team.

  * **First year:** Leaders trust the numbers without asking where they came from. Data is a competitive advantage, not a shared frustration.

## **Who You Are:**

- 10+ years in data, analytics, or data engineering, including building or leading a data function at a high-growth technology company.

- You 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.

- Deep 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.

- Bias to action. You ship a working dashboard before you build the perfect one, then iterate.

- You have built pipelines that handle billions of event-driven rows and know where the failure modes hide.

- You partner equally well with Finance, Product, Engineering, and GTM. You earn trust by listening, scoping precisely, and delivering on time.

- Sharp judgment on build-versus-buy, technical debt, and when good enough is right. You do not over-engineer for a company this size.

- Clear, direct communicator. You can explain a metric discrepancy to a CFO and a pipeline architecture to a data engineer in the same day.

- Experience with AI or ML data infrastructure: feature stores, model evaluation pipelines, or LLM observability.

- **Bonus Points:**

  * First or founding data leader at a Series A through C company.

  * Background at a developer-facing platform, API business, or usage-based SaaS company.

  * Familiarity with usage-based billing data models and revenue metering systems.

  * Hands-on HIPAA or GDPR compliance in an analytics context.

  * Built data products for external customers, not just internal stakeholders.

## **How We Work:**

- **Build something worthy of love**

  * Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate.

- **Commit and follow through**

  * We finish what we start and build trust by being people others can count on.

- **Why not today?**

  * We value urgency and momentum. The fastest path to customer value usually wins.

- **Seek raw input**

  * We go directly to customers, data, and teammates instead of relying on summaries or assumptions.

- **It’s our problem**

  * We operate as one team. We share credit, own mistakes together, and support each other when things get hard.

- **Be direct and kind**

  * We give feedback clearly, respectfully, and without delay.

## **Why Vapi:**

- **Generational impact**: Build the *human interface* for every business

- **Ownership culture**: Many of us are previous founders

- **Kind team**: The founders, Jordan and Nikhil, are Canadians

- **Tier-1 Investors**: YC, KP seed, Bessemer Series A

## **What We Offer:**

- **Real stake**: We offer a competitive salary and excellent equity ownership

- **Comprehensive health coverage**: medical, dental, and vision plans

- **Team love**: We love hanging out, and we do quarterly off-sites

- **Flexible time off**: take what you need

- **More**: catered meals, transportation, gym, and a $10k annual L&D budget
## Skills

- Service-Level Agreement
- Market Expansion Strategy
- Active Listening
- Fivetran
- C
- Data Models
- Data Ingestion
- Analytics
- Go
- Customer Success Management
- Access Controls
- Data Management
- Personally Identifiable Information (Pii) Protection
- Territory Design
- Investor Reporting
- Python
- Health Insurance Portability And Accountability Act (Hipaa) Compliance
- Product Qualified Lead (Pql)
- Observability
- Feature Store
- Artificial Intelligence
- Hex
- Model Evaluation (Machine Learning)
- Databricks
- Distributed Tracing
- SQL
- Annual Recurring Revenue
- OKR (Objectives and Key Results)
- Vendor Management
- GDPR
- Statistics
- Headcount Planning
- Billing
- Revenue Recognition
- CI/CD
- Google Tag Manager
- Semantic Layer
- Modern Data Stack
- Auditing
- Net Revenue Retention (Nrr)
- California Consumer Privacy Act (Ccpa)
- Data Pipeline Architecture
- Large Language Models (Llm)
- Data Contracts
- Marketing Qualified Lead (Mql) Management
- Metering
- Data Modeling
- Churn Analysis
- Data Lineage
- PostHog
- Software as a Service (SaaS)
- Product Roadmaps
- Dbt (Data Build Tool)
- AI Observability
- Telemetry
- On-Call Coverage
- Data Engineering
- Event-Driven Architecture
- Machine Learning
- Proof of Concept Development
- Vapi
- Governance
- Failure Mode and Effects Analysis (Fmea)
- Data Pipeline
- Sales
## Benefits

- Professional Development
- Health Insurance
- Dental Insurance
- Vision Insurance
- Paid Time Off (Pto)
- Food and Meals

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/head-data-at-vapi-01a0d4f8-161f-76d7-836c-74768669ea28?utm_source=ai_markdown)

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