Growth Engineer
11x.ai
•Onsite
About The Position
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
