
Platform for deploying machine learning models
GTM Engineer
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 $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
The GTM tooling landscape is changing fast and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our sales, marketing, and support functions as a competitive advantage. We have a sprawling stack with real redundancy, real gaps, and real opportunity — and we want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead on how the thing you're building today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something that low-code tooling simply can't.
RESPONSIBILITIES
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Own the CRM enrichment strategy — design and maintain the data foundation our GTM org runs on, spanning account and contact data quality, enrichment workflows, and data provider orchestration across our stack (Clay, Harmonic, Salesforce, and beyond)
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Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize accordingly — without waiting to be handed a roadmap
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Ship rep productivity workflows fast — triage asks from the field, identify the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday
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Know when to go custom — not everything belongs in a point-and-click tool. You're comfortable spinning up bespoke AI-powered solutions in Claude Code or similar when the problem calls for it, and you make that call with judgment, not default
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Think in systems, not solutions — every workflow you build has upstream and downstream implications. You anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later
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Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day
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Think long-term about stack consolidation — we have duplication and shadow IT across enrichment, routing, and engagement. Part of this role is helping us build toward a smaller, more intentional stack over time
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Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works
REQUIREMENTS
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3+ years of experience in GTM Engineering, workflow automation, or a technical Rev Ops role — ideally at a high-growth, AI-native B2B company
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Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
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Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
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Genuine fluency with AI coding assistants (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools, not just experimenting with them
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A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
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Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar)
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A fundamental understanding of APIs and webhooks to integrate third-party systems
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Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
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Experience in high-growth B2B technology companies
WHAT WILL SET YOU APART
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Familiarity with enrichment and data provider ecosystems beyond Clay — Harmonic, Parallel.ai, Lusha, Crunchbase, Pitchbook, ZoomInfo, or similar
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Experience with engagement platforms (Outreach, Nooks, or similar) and how they connect to CRM and enrichment workflows
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Familiarity with a data warehouse environment (Big Query, Snowflake, etc.) and BI tools (Sigma, Hex, etc.) — not as a data engineer, but as a consumer and builder on top of the data layer
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Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
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Experience with highly technical software sales cycles and complex GTM motions
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An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
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Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
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Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
BENEFITS
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Competitive compensation, including meaningful equity.
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100% coverage of medical, dental, and vision insurance for employee and dependents
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Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
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Paid parental leave
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Fertility and family-building stipend through Carrot
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Company-facilitated 401(k)
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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).
전체 조회수
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Baseten 소개

Baseten
Series CBaseten provides a platform for deploying and scaling machine learning models in production environments. The company offers infrastructure and tools for ML engineers to build, deploy, and monitor AI applications.
51-200
직원 수
San Francisco
본사 위치
$1.0B
기업 가치
리뷰
10개 리뷰
3.9
10개 리뷰
워라밸
4.2
보상
2.8
문화
4.1
커리어
2.5
경영진
3.2
72%
지인 추천률
장점
Good work-life balance
Supportive team and management
Great culture and teamwork
단점
Limited career advancement opportunities
Compensation issues
Management communication problems
연봉 정보
14개 데이터
Junior/L3
L2
L6
Recruiter
Intern
L3
L4
L5
Junior/L3 · Recruiter
0개 리포트
$183,600
총 연봉
기본급
-
주식
-
보너스
-
$156,060
$211,140
면접 후기
후기 52개
난이도
3.3
/ 5
소요 기간
14-28주
합격률
42%
경험
긍정 66%
보통 21%
부정 13%
면접 과정
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
자주 나오는 질문
Technical skills
Past experience
Team collaboration
Problem solving
최근 소식
Nvidia invests $150 million in AI inference startup Baseten - MSN
MSN
News
·
1w ago
Exclusive: Baseten, AI inference unicorn, raises $150 million at $2.15 billion valuation - MSN
MSN
News
·
1w ago
Nvidia invests $150 million in AI inference startup Baseten - MSN
MSN
News
·
2w ago
Baseten Introduces Delivery Network Aimed at Faster Large-Model Inference - TipRanks
TipRanks
News
·
7w ago