Create images, videos, and voice content with Higgsfield AI from text prompts or references. Edit and upscale media, automate creative workflows with its AI agent, and generate content on web and mobile. Backed by Accel and Menlo.
About the role
Growth engineering is product engineering where the main output is learning. You'll write code that helps people discover Higgsfield, get to their first great result and keep coming back. Then you'll measure whether it worked. Some of what you build will be thrown away after a week, and some will become part of a product used by millions. Telling the two apart is the job. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Advanced expertise in TypeScript, React, Next.js and CSS
- You've shipped user-facing features whose impact was measured, and you can talk about what worked and what didn't
- Hands-on experience with A/B testing and product analytics. You're comfortable reading the data yourself
- Strong grasp of web performance and responsive, cross-browser development
- Testing and CI/CD practices
- Strong communication and collaboration skills, and commitment to finishing what you start
More about this role
Higgsfield AI is the fastest-scaling generative AI company in history: $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and 390 Fortune 500 brands as customers.
We're building at the frontier of AI-powered video creation and next-generation creative tools. We aren't just moving fast. We're changing what fast means.
Growth engineering is product engineering where the main output is learning. You'll write code that helps people discover Higgsfield, get to their first great result and keep coming back. Then you'll measure whether it worked.
Some of what you build will be thrown away after a week, and some will become part of a product used by millions. Telling the two apart is the job.
You think about outcomes. Before you build, you know what the change should move. After you ship, you go and check.
You see a failed experiment as a result. A clear "no" is progress, and you're happy to delete code that didn't earn its place.
You turn vague problems into working software. Give you a question with no known answer, and you come back with a plan and a first version.
You know when to go quick and when to go solid. Disposable when testing an idea, robust once...
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