Growth Engineer
Builds and optimizes GTM systems using data analytics, experimentation, and automation to drive revenue growth. Collaborates with product, engineering, sales; requires CS background, 1+ years growth/analytics experience, strong analytical skills.
About the job
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
The Profile We’re Looking For
~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.
Skills
Data Analytics, SQL, Python, Dashboards, Experimentation, Automation, Gtm Systems, Revenue Analytics, Funnel Analysis, AI Agents
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