For Sales, RevOps, and GTM Leaders. Transform your revenue team with digital AI workers that execute, learn, and optimize across all customer touchpoints. Backed by a16z.
About the role
We're looking for a Data Engineer who wants to operate like a founder. Not someone who wants to spend their time maintaining dashboards, moving tickets across a board, or optimizing pipelines in a mature environment. Someone who sees infrastructure as a product, thrives in ambiguity, and wants to build the systems that power the next generation of AI applications.
What they're looking for
- 4+ years of software engineering or data engineering experience
- Strong experience building and maintaining production-grade data systems and pipelines
- Experience with Python and Typescript
- Strong backend engineering fundamentals beyond traditional data engineering
- High agency — you naturally move things forward without waiting for direction
- Comfort operating in ambiguity and building without a playbook
More about this role
Most of what GTM teams do all day isn't selling. It's monotonous work like research, list-building, follow-ups, and data entry - things that should never have been a human job in the first place.
11x is building the AI platform for growth by automating the busywork so GTM teams can focus on what they do best: building relationships and closing deals.
Backed by $75M+ from a16z and Benchmark, headquartered in San Francisco, and trusted by leading teams at Checkr, Xerox, Rillet, and much more. We're hiring ambitious people who want to define how the next generation of companies accelerate growth.
We're looking for a Data Engineer who wants to operate like a founder. Not someone who wants to spend their time maintaining dashboards, moving tickets across a board, or optimizing pipelines in a mature environment. Someone who sees infrastructure as a product, thrives in ambiguity, and wants to build the systems that power the next generation of AI applications.
This is not a traditional data engineering role. You'll own critical pieces of the infrastructure that power our AI workers, customer data platform, and future data architecture. You'll work across data engineering, backend...
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