Growth Engineer

11x; San Francisco (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

11x is looking for a Growth Engineer in San Francisco to drive revenue through the optimization of GTM systems. This analytical and execution-oriented role demands a strong background in data analytics and collaboration with sales, product, and engineering teams. You will design and execute experiments, automate internal processes, and build dashboards that translate qualitative insights into quantitative actions. The ideal candidate has a computer science background and at least one year of relevant experience in growth or analytics roles.

Qualifications

• 1+ years in growth, analytics, revenue operations, or strategy role.
• Experience building or improving GTM systems.
• Strong analytical instincts with messy data.

Responsibilities

• Design and optimize GTM systems for pipeline efficiency.
• Collaborate with Product and Engineering on analytics.
• Build dashboards, models, and analyses to surface insights.

Skills

Data analytics

Growth engineering

Revenue systems

Problem-solving

Collaboration

Education

Computer science or relevant background

Job description

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

Growth Systems & Revenue Analytics

• 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

Experimentation & Optimization

• 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

Automation & Internal Tooling

• 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

Strategy to Execution

• Translate leadership goals into concrete, measurable execution plans
• Turn qualitative hypotheses into quantitative tests
• Document systems, frameworks, and learnings so improvements compound over time

What Success Looks Like

• 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

The Profile We’re Looking For

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