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Basis builds production-grade AI agents that perform end-to-end work for major accounting firms. The company recently raised $100M at >$1B valuation and is scaling applied ML at production scale, backed by top-tier investors including Khosla Ventures, Accel, Google Ventures, and technical leaders like Jeff Dean and Nat Friedman.
You'll be the GTM Data and Systems Lead, owning the data foundation that powers Basis's go-to-market organization. As the company scales across products and sales motions, you'll define how customer data is represented, how performance is measured, and how agents receive the context they need to work effectively.
Key responsibilities include:
- Build and own the GTM data model, defining accounts, people, opportunities, products, and relationships across the customer lifecycle while supporting multiple buying groups and sales motions.
- Create a semantic layer with shared definitions and calculation logic for pipeline, conversion, revenue, and customer health metrics, partnering with RevOps and Finance.
- Define the GTM ontology—business entities, relationships, and rules—and make that context available through documented, permission-aware interfaces for both people and agents.
- Own Salesforce administration and configuration, including objects, fields, flows, permissions, data quality, user onboarding, and tested releases across the GTM stack.
- Build and maintain integrations across Salesforce, Outreach, Gong, Clay, and other GTM tools, handling APIs, webhooks, bidirectional syncs, retries, duplicate events, and conflict resolution.
- Capture customer activity and buying signals through event-driven architecture, preserving identity, source, timing, and outcomes.
- Build agents that automate data-quality checks, sync monitoring, and investigation of broken workflows, with clear escalation for changes requiring human judgment.
- Own the technical roadmap with AI Ops and RevOps, making build-versus-buy decisions and developing practices for a growing function.
You'll report to the Head of GTM AI Ops and work closely with Revenue Operations, Sales, Marketing, and Customer Success. You'll start as a hands-on senior individual contributor with the opportunity to build and lead the GTM Data and Systems function over time.
Success looks like: teams using shared definitions without rebuilding in spreadsheets, broken syncs detected and reconciled automatically, agents completing approved work with traceable actions, and new products fitting the model without repeated rebuilds.
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.
NICE-TO-HAVE:
- Semantic layers, analytics engineering, or business ontologies used by both humans and AI systems.
- Experience with agents or LLM workflows operating against business systems, with evaluations and controlled writes.
- Event-driven architecture, identity resolution, or reliable integrations across complex GTM stacks.
- Experience growing a technical function, mentoring builders, or supporting multiple products and revenue models.
