Growth Engineer

11x.ai•San Francisco, CA

11h

About The Position

About 11x Most of what Go-to Market teams do all day isn't selling. It's research, list-building, follow-ups, and data entry — work that should never have been a human job in the first place. We're building a system of AI workers that own GTM execution end-to-end. Alice creates demand, and Julian captures it. They take the busywork off the table so GTM teams can can do what they do best: building relationships and closing deals. Backed by $75M+ from a16z and Benchmark, headquartered in San Francisco, and trusted by Checkr, Xerox, Sage, and Armanino. We're hiring ambitious people who want to define how the next generation of companies accelerate growth. 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.

Requirements

~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
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

Responsibilities

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