GTM Data and Systems Lead

About the role

Basis builds real agents that do real work in the real economy. Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world. We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale. Our investors include: Khosla Ventures (Keith Rabois & Vinod Khosla), Accel (Miles Clements), Google Ventures, Nat Friedman & Daniel Gross, Adam D'Angelo, Jeff Dean, Jack Altman, Noam Brown, Kyle Vogt, Amjad Masad, Clem Delangue and many other operators/technical leaders.

Responsibilities

• Build the GTM data model: define accounts, people, opportunities, products, and their relationships across the customer lifecycle; support multiple buying groups, sales motions, and expansion paths without losing history.
• Make metrics consistent: build the semantic layer – shared definitions and calculation logic for pipeline, conversion, revenue, and customer health; partner with RevOps and Finance on definitions, then deliver reporting people can trace to source records.
• Give agents reliable context: define the GTM ontology – business entities, relationships, and rules that explain what the data means; make that context available through documented, permission‑aware interfaces that people and agents can use.
• Own Salesforce and connected systems: manage objects, fields, flows, permissions, and data quality; own configuration, troubleshooting, user onboarding, and tested releases across the GTM stack.
• Keep integrations reliable: build and maintain APIs, webhooks, and bidirectional syncs across Salesforce, Outreach, Gong, Clay, and other GTM tools; define which system controls each field; handle retries, duplicate events, conflicts, and recovery without overwriting valid data.
• Capture events and signals: build sensors for customer activity and buying signals; preserve identity, source, timing, and outcomes so teams can distinguish attempted activity from engagement and measure what moves accounts forward.
• Build agents that improve the systems: automate data‑quality checks, sync monitoring, and investigation of broken workflows; build agents that propose and implement tested improvements within approved permissions, with clear escalation for changes that need human judgment.
• Build for the next stage: own the technical roadmap with AI Ops and RevOps; make build‑versus‑buy decisions, document the system, and develop the practices that a growing function can build on.

Requirements

• Experience owning GTM systems or data architecture at a growing B2B company, with systems you've built and maintained in production.
• Deep Salesforce administration skills, including relational modeling, flows, validation rules, permissions, and change management.
• Strong SQL and hands‑on coding in Python or TypeScript/JavaScript; ability to build and debug integrations beyond native connectors.
• Experience translating business questions into data models, metric definitions, and reporting that stays consistent across tools.
• Sound engineering judgment about testing, monitoring, access controls, and safe migrations; ability to explain a trade‑off and carry the work through to adoption.

Qualifications

• Semantic layers, analytics engineering, or business ontologies used by both humans and AI systems.
• Agents or LLM workflows operating against business systems, with evaluations and controlled writes.
• Event‑driven architecture, identity resolution, or reliable integrations across a complex GTM stack.
• Experience growing a technical function, mentoring builders, or supporting multiple products and revenue models.

Benefits

• Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health.
• Basis will