Growth Engineer

fal is building the next generation of generative-media infrastructure. Our users turn raw creativity into finished experiences in minutes, and we’re growing faster than we can keep up. We’re looking for a Growth Engineer who blends rapid-fire engineering with product-led growth instincts—someone who can ship code in the morning and close a partnership over coffee in the afternoon.

You’ll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow’s dashboards.

Spin up lightweight client libraries, demo apps, or event microsites in a few hours.

Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.

Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).

Our content consistently drives qualified sign-ups and sparks industry conversations.

Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it—and ship fast.”

Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap—and we mostly just say “Yes.”

• Ship code at the speed of thought. Fluent in Python and JavaScript (Next.js, React) and can stitch APIs, CLIs, and scrapers together before lunch.

• Live in the metrics. SQL, Amplitude/Looker, or plain-text CSVs—whatever gets you to the insight fastest.

• Write to persuade. Your copy earns clicks because it’s human, helpful, and opinionated.

• Love people as much as code. You’re energized by demos, DMs, and IRL events.

• Crave ownership. Ambiguous problems and blank pages don’t scare you; they excite you.

• Geek out on generative media. You follow the latest diffusion paper for fun and have strong opinions on video model architectures.

• Prior experience in PLG or developer-tool startups

• Familiarity with growth analytics stacks

• A portfolio of technical writing, open-source libs, or side projects