Growth Engineer

Greptile

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Greptile is seeking a Growth Engineer in San Francisco to build autonomous agents that validate code changes and review PRs on GitHub. The role focuses on scaling experiments across the user journey, from marketing site to product interactions, to improve activation, conversion, and retention.

You will own growth-critical projects, design experiments, and collaborate with product and growth teams to ship production-ready features while leveraging analytics to guide decisions.

Qualifications

  • Strong software engineering foundation across frontend, backend, or full-stack.
  • Experience building and shipping user-facing product or web features.
  • Comfort working with data, metrics, and experimentation to inform decisions.
  • Solid product intuition and curiosity about how users discover and adopt products.
  • Ability to move quickly, take ownership, and maintain code quality under iteration.
  • Familiarity with modern web stacks and analytics tooling.

Responsibilities

  • Own and ship growth-critical engineering projects end-to-end, from identifying opportunities to launching and iterating based on results.
  • Design, build, and run experiments across the full user journey from marketing site to product interactions.
  • Partner with product and growth teams to scope ideas and ship production-ready implementations.
  • Build and own the core analytics and attribution framework, including event instrumentation and dashboards.
  • Define and track success metrics (activation, conversion, retention) and use data to decide where to double down or stop.
  • Work across the stack (frontend, backend, data) to ship pragmatic solutions that move key metrics.

Skills

Frontend/Backend development
Full-stack engineering
Experimentation and A/B tests
Data-driven decision making
Metrics and analytics
Rapid ownership

Job description

Growth Engineer

We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards.

Greptile reviews 5B lines of code every month for 22,000+ customers.

Problems we’re excited about
  • Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?

  • Can we identify for each customer what types of PR feedback they do and don’t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?

  • Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?

Trajectory
  • 22,000+ customers

  • 5B lines of code reviewed every month

  • Scaled from $0 to eight figures in ARR

  • Raised $30M from Benchmark, Y Combinator, Paul Graham, and Initialized

Team
  • We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, etc.
Responsibilities
  • Own and ship growth-critical engineering projects end-to-end, from identifying opportunities to building, launching, and iterating based on results

  • Design, build, and run experiments across the full user journey, spanning the marketing website, onboarding, activation, and product interactions

  • Partner closely with product and growth teams to scope ideas and ship high-quality, production-ready implementations

  • Build and own the core analytics and attribution framework, including event instrumentation, dashboards, and reporting used to guide decisions

  • Define and track clear success metrics (e.g. activation, conversion, retention), and use data to decide what to double down on or stop

  • Work across the stack (frontend, backend, and data) to ship pragmatic solutions that meaningfully move key metrics

  • Balance fast, iterative experimentation with higher-conviction projects, owning technical execution in both cases

Qualifications
  • Strong software engineering foundation (frontend, backend, or full-stack)

  • Experience building and shipping user-facing product or web features

  • Comfort working with data, metrics, and experimentation to inform decisions

  • Solid product intuition and curiosity about how users discover, adopt, and stick with products

  • Ability to move quickly, take ownership, and learn through iteration without sacrificing code quality

  • Familiarity with modern web stacks and analytics tooling

  • Interest in how products grow across channels (e.g. paid acquisition, SEO, lifecycle email), and eagerness to learn how engineering decisions shape outcomes

  • Bonus: experience with developer tools, product-led growth, or B2B SaaS

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