The Growth Engineer will design and optimize GTM systems to enhance revenue efficiency through data analysis, automation, and experimentation, collaborating with teams to convert ambiguous problems into structured processes.
About 11x
About the Role
What You’ll Actually Do
Growth Systems & Revenue Analytics
Experimentation & Optimization
Automation & Internal Tooling
Strategy → Execution
What Success Looks Like
The Profile We’re Looking For
Compensation
At 11x, we’re building autonomous agents that handle routine work end to end, freeing humans to focus on what they do best: creating, innovating, and building meaningful relationships. We’re one of the fastest-growing AI companies in the world with over $75M raised from leading investors including a16z and Benchmark.
We operate with high ownership, tight feedback loops, and a strong bias toward velocity. Our team works in person at our San Francisco HQ, and we’re scaling rapidly to meet growing demand across the US and globally.
About the Role
The Growth Engineer for GTM Systems is about scaling our software defined GTM motion fast. This role sits at the intersection of data analytics, growth engineering, revenue systems, and experimentation. You’ll turn messy GTM inputs—signals, behaviors, funnels, and feedback loops—into structured, repeatable systems that drive revenue. This is a technical, analytical builder role focused on designing, instrumenting, and optimizing revenue systems.
If you like taking ambiguous business problems and solving them with data, logic, and automation, you’ll be at home here.
What You’ll Actually Do
- Design, instrument, and optimize GTM systems that drive pipeline and revenue efficiency
- Collaborate deeply with Product and Engineering as a technical product expert, leveraging analytics, experimentation, and systems thinking to influence product design, prioritization, and iteration.
- Analyze funnel performance across acquisition, activation, expansion, and conversion
- Build and maintain dashboards, models, and analyses that surface leverage points
- Partner with Sales, Customer Success and core engineering to improve pipeline quality, deal velocity, and POC-to-close conversion using data, not intuition
- Design and run structured experiments across channels, personas, and ICPs
- Define success metrics, analyze results, and translate findings into durable systems
- Identify failure modes, bottlenecks, and inefficiencies—and engineer fixes
- Build robust internal tools, workflows, and automations to improve GTM execution
- Leverage AI agents and internal systems to scale experimentation and execution
- Reduce manual effort by replacing ad-hoc processes with repeatable, automated systems
- Translate leadership goals into concrete, measurable execution plans
- Turn qualitative hypotheses into quantitative tests
- Document systems, frameworks, and learnings so improvements compound over time
- Revenue and pipeline performance become predictable and measurable
- GTM decisions are driven by data, not anecdotes
- Experiments turn into scalable, repeatable systems
- Sales teams operate with higher confidence because the system works
- Growth becomes an engineering discipline, not guesswork
This role is for someone who is analytical, technical, and execution-oriented.
You likely have:
- ~1+ years in a growth, analytics, revenue operations, GTM, or strategy role
- A computer science background (e.g., data analytics, engineering, quantitative business, applied math)
- Hands-on experience building or improving GTM systems not just managing processes
- Strong analytical instincts and comfort working with real, messy data
- Ability to collaborate with sales, growth, and leadership teams
You are:
- A builder at heart. You prefer shipping systems over debating ideas
- Comfortable with ambiguity and energized by problem-solving
- Opinionated, data-driven, and willing to change your mind
- Ownership-driven—you see broken systems and fix them
Compensation
The base pay range for this role is $150,000 – $170,000 per year.
11x San Francisco, California, USA Office
677 Harrison Street, San Francisco, CA, United States, 94107
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