Head of Data
Vapi is a developer platform for building, deploying, and improving voice AI agents.
Maintainer signals as of 9/25/2026
San Francisco, United States
Funding history
About Vapi
Vapi provides voice-agent infrastructure and orchestration across transcription, language models, and text-to-speech, including telephony, real-time monitoring, scaling, and conversation-flow tooling.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and lead the data function from the ground up. You will establish canonical metrics, develop and scale the data platform, create reliable pipelines and dashboards, govern data quality and access, and partner with business functions on strategic decisions. You will hire and lead the initial data team.
Requirements
- 10+ years of experience in data, analytics, or data engineering
- Experience building or leading a data function at a high-growth technology company
- Experience delivering and sustaining a company-wide single source of truth
- Fluency with dbt, Databricks, Fivetran or PostHog, and a BI layer such as Hex
- Strong SQL skills
- Experience building pipelines handling billions of event-driven rows
- Experience partnering with Finance, Product, Engineering, and GTM
- Experience with AI or ML data infrastructure, feature stores, model evaluation pipelines, or LLM observability
Responsibilities
- Define and own core company metrics and the canonical data model
- Make the GTM funnel measurable end to end
- Own data, dashboards, and narratives for weekly and monthly business reviews
- Build and scale the data platform across warehousing, ingestion, transformation, orchestration, and BI
- Ship documented and tested dbt models and enforce data contracts
- Design pipelines for call telemetry, transcript events, usage metering, billing signals, and model-performance traces
- Set data freshness SLAs, alerting, and on-call coverage
- Build AI and LLM monitoring, telemetry, and prompt-to-performance observability pipelines
- Build semantic layers and self-service dashboards for business functions
- Own data governance, quality, lineage, access controls, and data definitions
- Partner on pricing, market expansion, product decisions, revenue recognition, billing, reporting, and retention modeling
- Plan headcount, hire data engineers and analysts, and manage data vendor relationships
Benefits
- Equity ownership
- Medical, dental, and vision plans
- Quarterly off-sites
- Flexible time off
- Catered meals
- Transportation
- Gym
- $10k annual learning and development budget