GTM Systems Manager

Baseten - San Francisco, New York - original posting ->
Status
Open
Remote policy
Hybrid
Employment type
Full-time
Salary
160,000-200,000 USD / year
Categories
GTM, Revenue Operations
Tech
bigquerysnowflakesparkhybridsales
Source
baseten
First observed
2026-08-27 06:44 UTC
Last seen
2026-08-27 06:44 UTC
Source claims posted
2026-08-27 06:16 UTC
Consecutive misses
0 of 3

What the posting says

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs.

This role owns a core set of the platforms the field runs on. You'll administer, configure, and continuously improve them, build AI and automation on top of the CRM to keep it clean and current, and run the adoption programs that make sure the field actually uses what we put in front of them. We're an AI-native company scaling fast, and we want to add sophistication without adding drag — you'll be the person deciding how much system is enough.

This isn't a classic Salesforce admin role. You know the ecosystem, but you come at it as a builder and an orchestrator, not a ticket-taker.

What You'll Walk Into

Central RevOps is the systems and operations center of excellence for Baseten's GTM org. The stack includes Salesforce, Pylon, Outreach, Sales Navigator, Clay, and a growing set of AI-native GTM tools. The field is scaling fast, and the systems need to mature with it without slowing anyone down.

You'll co-own Salesforce with our other GTM Systems Manager and work alongside a GTM Engineering team who builds internal AI products for GTM productivity — plus partner closely with sales leadership and the field.

Responsibilities

Own adminship, configuration, and enablement for Pylon, Gong, Sales Navigator, Outreach, and Prospect. These platforms are yours end-to-end — configured well, enabled with the field, and continuously improved as needs grow.

Run adoption, license forecasting, and vendor management for each of those systems. Own the adoption programs that get the field using them, forecast license needs ahead of growth, and manage the vendor relationships and renewals.

Co-own Salesforce. Partner with our other GTM Systems Manager to keep the CRM configured for how sales actually runs, and act as backup for Deal Operations processes.

Build AI and automation on top of the CRM. Stand up agents and automations that update and maintain the CRM — keeping data clean, current, and trustworthy without adding manual work.

Drive adoption, not just deployment. Document what you build, enable the field, and measure success by whether people actually use it.

Right-size the process. Add just enough structure to scale the company without slowing the field down. Have a point of view on where process helps and where it just gets in the way.

Requirements

4+ years in GTM systems, RevOps, or sales/business systems — owning platforms and process end-to-end

Experience building AI and automation on top of a CRM — you've built agents or automations that update and maintain CRM data, not just configured fields

Hands-on adminship and configuration experience across a multi-tool GTM stack (support ops, engagement, prospecting, and enrichment tools)

Working knowledge of the Salesforce ecosystem and data model — enough to co-own the CRM — without wanting to be a career admin

A real appetite for enablement — you care whether the field uses what you build, and you'll run the adoption programs to make sure it does

Experience owning vendor relationships, renewals, and license planning

Judgment on process — you can tell structure that helps the field from structure that slows it down, and you right-size accordingly

Experience in high-growth B2B technology companies, ideally scaling systems as the field grows fast

What will set you apart

Fluency with AI and automation tooling (Claude, Clay, n8n, or similar) as a builder, not just a user

Familiarity with a data warehouse and BI environment (Sigma, Hex, BigQuery, Snowflake) on the data layer

Hands-on experience with Pylon

Exposure to Deal Operations, CPQ, or quote-to-cash processes as a backup or contributor

You've inherited a sprawling, redundant stack and made it more intentional without breaking what works

BENEFITS

Competitive compensation, including meaningful equity.

100% coverage of medical, dental, and vision insurance for employee and dependents

Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

Paid parental leave

Fertility and family-building stipend through Carrot

Company-facilitated 401(k)

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Quality

Completeness: 100%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #395482 2026-08-27 06:44 UTC
    Published