Growth Engineer San Francisco

Greptile; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Equity options

$25K in relocation assistance

Job summary

Greptile in San Francisco is looking for a software engineer to own and ship growth-critical projects. This role involves designing and executing experiments that inform user interactions and metrics. Candidates should have a strong engineering foundation, experience in user-facing product development, and an interest in data-driven decision-making. Greptile offers a salary range of $130K - $190K, equity options, and relocation assistance, fostering a fast-paced, collaborative environment with a talented team.

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 user interactions.
• Ability to move quickly, take ownership, and learn through iteration.
• Familiarity with modern web stacks and analytics tooling.
• Interest in how products grow across channels.

Responsibilities

• Own and ship growth-critical engineering projects end-to-end.
• Design, build, and run experiments spanning user interactions.
• Partner closely with cross-functional teams for project scoping.
• Build and own the core analytics and attribution framework.
• Define and track clear success metrics using data.
• Work across the stack to ship pragmatic solutions.
• Balance experimentation with higher-conviction projects.

Skills

Strong software engineering foundation

Experience building user-facing product features

Comfort working with data and metrics

Solid product intuition

Ability to move quickly and take ownership

Familiarity with modern web stacks

Interest in product growth strategies

Job description

$130K - $190K, Offers Equity, Up to $25K in relocation assistance

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. We’re reviewing close to 1B lines of code a month now for over 3,000 companies.

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

• 7,000+ customers
• Raised $30M from Benchmark, YC, Paul Graham, 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