GTM工程师
GTM Engineer
关于 Baseten
Baseten 为全球最具活力的 AI 公司提供关键推理支持，例如 Cursor、Notion、OpenEvidence、Abridge、Clay、Gamma 和 Writer。通过结合应用 AI 研究、灵活的基础架构和无缝的开发者工具，我们使处于 AI 前沿的公司能够将前沿模型投入生产。我们正在快速增长，并最近完成了 1.5 亿美元的 F 轮融资 https://www.baseten.co/blog/announcing-our-series-f/，由 Altimeter Capital、Conviction Partners 和 Spark Capital 领投。加入我们，帮助构建工程师们用来交付 AI 产品的平台。
职位描述
Baseten 的 GTM 组织正处于高速扩张阶段。随着组织的成长和成熟，GTM 堆栈的需求也随着规模扩大而变得更加复杂——这个团队的存在就是为了走在这些需求的前面。我们的 GTM 工程团队在构建和维护 Baseten 的 GTM 工具、流程和用户体验之间的连接部分中发挥着关键作用。
GTM 工具生态变化迅速，赢得竞争的是那些能最快适应和迭代的团队。这个职位的存在是为了确保 Baseten 是其中之一。
你将设计、构建并交付 AI 驱动的工作流，以将 GTM 功能作为竞争优势进行扩展。我们需要一位能够迅速上手，审计现有系统，识别缺失的部分，并快速交付的人员。
你知道何时使用 Clay，何时在 Claude Code 中自定义开发。你能够提前两到三步思考今天所构建的内容如何融入明天的系统架构。你有自己独到的见解——关于我们的技术栈、我们应该构建什么，以及 AI 在低代码工具无法做到的地方可以做什么。
职责
- 交付 AI 驱动的工作流给前线团队——构建代理和自动化流程，为销售代表和经理提供真正的杠杆，减少手动和重复性工作。在低代码工具无法做到的地方，利用 AI。
- 让洞察力直接呈现给销售代表——将 Salesforce、数据仓库和使用数据转化为销售代表真正会采取行动的仪表盘、评分和警报。一个项目只有在前线被使用后才算完成。
- 审计技术栈并生成自己的待办事项列表——我们有很多工具，有些存在重叠，也有真实的缺口。带着自己的观点进入，识别缺失或损坏的部分，并优先处理，无需等待路线图。
- 快速交付销售代表生产力的工作流——梳理前线的需求，找到容易实现的部分并构建。一个好的周度表现是 VP 级别的成果
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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 https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn 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. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field.
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 GTM functions as a competitive advantage. 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 about how the thing you build 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 low-code tooling simply can't.
RESPONSIBILITIES
- Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't.
- Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it.
- 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 without waiting to be handed a roadmap.
- Ship rep-productivity workflows fast — triage asks from the field, find 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.
- Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
- Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later.
- 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.
- Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works.
REQUIREMENTS
- 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
- You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
- Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting
- 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
- Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- 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
- Experience in high-growth B2B technology companies
NICE TO HAVE
- Familiarity with enrichment and data-provider ecosystems beyond Clay
- Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
- Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
- Experience with highly technical software sales cycles and complex GTM motions
- 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
- Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
- 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
- Challenging work and exposure to a variety of ML startups.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 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).