Senior Growth Engineer

Brew For Talent; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Job summary

Brew For Talent is seeking a growth-focused full-stack engineer in the San Francisco Bay Area. You will own signup, activation, onboarding, and conversion, building a cohesive product surface for our PLG motion.

You’ll instrument funnels, run experiments, and ship changes that move real metrics while collaborating with data teams to verify hypotheses and iterate rapidly.

Qualifications

• 5–12 years of experience as a full-stack engineer with hands-on growth work at an early- or growth-stage startup.
• Proficiency in React, TypeScript, Next.js, and Node.js.
• Experience running growth experiments / A/B tests and analyzing funnels (SQL analytics).

Responsibilities

• Own growth surfaces end-to-end: signup, activation, onboarding, and conversion.
• Instrument funnel, run experiments, and ship changes that move metrics.
• Build full-stack from the frontend a developer first touches to the backend that powers it.
• Treat conversion and activation as your number, measure and improve it.
• Work closely with data to form hypotheses, test them, and iterate quickly.

Skills

Full-stack growth

A/B testing

Data-driven

IC ownership

Tools

React

TypeScript

Next.js

Node.js

SQL

PostgreSQL

Tailwind CSS

Vercel

Claude API

LLM APIs

Job description

Hybrid Work Policy: San Francisco, CA or Bay Area (Hybrid)

Tech Stack: TypeScript, Node.js, REST APIs, LLM APIs, Datadog, Vercel, React, Next.js, Python, SQL, PostgreSQL, Tailwind CSS, Anthropic Claude API, Mixpanel, Amplitude, PostHog

Equity: Competitive equity, details shared during the process.

About this Role:

You’ll write the code that turns developers discovering our platform into developers who can’t live without it. This is a full-stack engineering role pointed entirely at growth: you’ll own the signup, activation, onboarding, and conversion experience, and you’ll be measured on the funnel metrics you move, not just the features you ship. You’ll instrument, experiment, build, and iterate on the product surfaces that drive our PLG motion. You’ll report to our VP of Revenue and Success and own real conversion outcomes from day one.

About The Client:

Is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data – the boring-hard problem everyone building with LLMs eventually hits, solved.

We hit 8 figures in ARR in year one and more than doubled it in year two. We have 147k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we’re just getting started.

We’re a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves – no hiding behind process or headcount.

This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.

What You’ll Do

• Own the growth surfaces end to end: signup, activation, onboarding, and conversion


• Instrument the funnel, run experiments, and ship the changes that move real metrics


• Build full-stack, from the frontend a developer first touches to the backend that powers it


• Treat conversion and activation as your number, you own it, measure it, and move it


• Work close to the data, form hypotheses, test them, and iterate fast on what works

What We’re Looking For

• You’re a strong full-stack engineer who’s worked on growth or PLG products


• You’ve personally owned a conversion, activation, or funnel metric, and moved it, not just shipped features someone else measured


• You think like a scientist: hypothesis, experiment, measure, iterate, and you’ve run real A/B tests you can talk about, including what you learned when they didn’t go as planned


• Bonus if you’ve shipped in-product growth surfaces at a dev-tools or SaaS company (onboarding, activation, upgrade flows, in-product guidance) or built conversion pages that measurably moved signup, not just static pages that shipped


• Bonus for experience with our stack (Next.js, React, Tailwind, TypeScript, Vercel, PostgreSQL, and the Anthropic Claude API) or for having built with LLMs in production: prompt engineering, tool use, inference pipelines


• You’ve worked on developer-facing products, SDKs, playgrounds, docs surfaces, APIs, and understand how developers actually adopt tools


• You have a track record of staying with your work long enough to see it through (we look for real tenure, not a trail of short stints)


• You move fast and close the loop – you’d rather ship, measure, and iterate than perfect on paper

What We’re NOT Looking For

• A growth marketer, this is an engineering role that writes production code


• A backend engineer with no interest in the product surface or the metrics


• Someone who’s only ever shipped features without owning an outcome


• A pattern of short stints, we want someone who commits

A Note On Pace

We operate at an high level of urgency because the window for what we’re building won’t stay open forever. If you’ve felt what “scaling chaos” is like at a company growing fast from early revenue to real scale, you’ll feel right at home. If that excites you, keep reading. If it doesn’t, no hard feelings, but this role probably isn’t for you.

Requirements:

Must have:

• Full-stack ownership of features shipping end-to-end PLG features (onboarding, activation, upgrade prompts) that measurably moved a metric.


• Proficiency with React, TypeScript, Next.js, and Node.js


• A/B testing and experimentation frameworks


• 5 – 12 years of experience as a full-stack engineer with hands-on growth work as an IC at an early- or growth-stage startup.


• Ran growth experiments / A-B tests and analyzed funnels (event tracking, SQL/product analytics) to find growth levers.


• AI-native workflow: fluent using AI coding tools (Cursor, Copilot, Claude Code) to ship faster.


• Trusted IC who shapes the growth roadmap and can partner with leadership to ship product.

Nice-to-have

Built internal tooling that growth/product teams adopted.

Traits to Avoid

• Pure frontend-only or backend-only specialists


• Growth marketers, SEO or content, lifecycle or CRM, or GTM ops profiles


• Pure research or platform engineers without product instincts


• Treats AI tools as a novelty rather than daily infrastructure