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GTM Data and Systems Lead

Basis AI

Company websitegetbasis.ai (Basis AI, opens in new tab)

Base salary $150K  to $250K

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Basis

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.

"Basis is on the frontier of building production-grade, long-horizon agents. They've pushed the limits of what we thought our models could do on real-world, economically valuable, complex accounting tasks. They've been a great collaborator in helping us shape what the future of agents looks like." — Prashant Mital, Applied AI Lead, OpenAI

What you'll be doing:

We're looking for a GTM Data and Systems Lead to build the data foundation that our go-to-market organization runs on. As Basis grows across products and sales motions, you'll define how we represent customers, measure performance, and give agents the context to work effectively.

You'll own the GTM data model and the systems that keep it accurate. That means designing the architecture, writing code, administering Salesforce, and fixing integrations when they break. RevOps owns the operating processes; you'll translate agreed business requirements into systems.

You'll report to our 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.

  • 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.

Location: NYC, Flatiron office. In person, five days per week.

What you'll bring:

  • 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. You can 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. You can explain a trade-off and carry the work through to adoption.

What we'd love to see:

  • 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.

What success looks like in this role:

  • Trusted answers: Teams use shared definitions and can explain the numbers without rebuilding them in separate spreadsheets.

  • Dependable systems: Broken syncs and data drift are detected, investigated, and reconciled against their sources.

  • Useful agents: Agents complete approved work with traceable actions and clear escalation when context or permission is missing.

  • Room to grow: New products and GTM motions fit the model without repeated rebuilds.

Benefits at Basis

We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being:

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

    • Basis will cover 100% of your Wellhub Gold membership.

    • Wellhub gives you access to gyms like Lifetime, SoulCycle, NYSC and so many more - as well as access to wellness apps like Strava & Headspace!

  • Time off: Unlimited PTO + 12 paid company holidays.

  • In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup.

  • Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan

  • Team Culture: Monthly office activities and frequent optional team happy hours.

  • Parental Leave

Source: Basis AI on Ashby · View original posting (opens in new tab)

This range next to 6 other live Basis AI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Basis AI roles with the nearest advertised base floor
RolePublished base
GTM Data and Systems Lead (this listing)$150K - $250K
Product Marketing Manager$150K - $225K
Account Executive, Channel Partnerships$150K - $250K
Intelligence Architect$150K - $225K
Founding Brand Designer$150K - $210K
Revenue Operations Analyst$150K - $250K
Human Resources Business Partner$150K - $200K

Same $100K to $400K scale as every card. All Basis AI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-20
Where this pay comes from

Location as the employer wrote it: New York Office

USD 150,000 – 250,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.