Staff Data Engineer - GTM

• Experience with GTM data vendors and tooling — ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong.
• Experience with territory design, account scoring, propensity models or ICP definition.
• Exposure to privacy and compliance considerations around contact data (GDPR, CCPA, consent management).

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• A genuine interest in growing the business and a real affinity for GTM teams. You are curious about how sales and marketing work, comfortable in a room full of reps, and motivated by commercial outcomes rather than only technical ones.
• Experience with the modern data stack: dbt, a cloud warehouse (we use Snowflake), and a DAG orchestrator (we use Airflow).
• Experience building with LLMs in production: prompt design and evaluation, tool/function calling, web search and crawling, cost and latency control.
• Experience with entity resolution, identity or deduplication problems — matching messy real-world records, and reasoning about precision/recall trade-offs where a false merge has a real business cost.
• Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce: reading from them, writing back to them.
• Strong communication: you can explain a hierarchy change to a CRO and a merge heuristic to an engineer, on the same day.
• A growth mindset and eagerness to learn — the tooling in this space is changing fast.