Growth Engineer

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Growth Engineer

San Francisco (On-Site)

Marketing

In office

Full-time

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.

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 → 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

Compensation

The base pay range for this role is $150,000 – $170,000 per year.

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Req ID: R14