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Location
In office (Almaty)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 26, 2026. Higgsfield scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Higgsfield is an artificial intelligence company that builds a creative suite for generating and editing images, video and voice from text prompts or reference material. Its products cover video generation with camera control, image models, upscaling and editing, voice content and an agent that automates creative workflows on web and mobile for marketers, studios and independent creators. Founded in 2023 and run from San Francisco, the company keeps a large product and engineering team in Almaty, Kazakhstan, where it hires AI engineers, data scientists, designers and content staff.

Why work at Higgsfield AI?

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.

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.

Who we are looking for

  • 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 it proves itself. Fast on experiments, careful wherever user trust is at stake.

  • You have business sense and data literacy. They matter to you as much as clean code.

  • You're AI-native in how you work. You use AI coding tools every day, and you verify what they produce.

  • You're resilient. You do your best work in a high-intensity startup environment.

What you will work on

  • Turn hypotheses about user behavior into shipped experiments. See each one through from instrumentation to the decision to scale, iterate or stop.

  • Work across the whole user lifecycle (acquisition, activation, monetization and retention) instead of inside a single feature.

  • Build product experiences where correctness and reliability matter as much as speed.

  • Build the foundations that make experiments fast and safe: instrumentation, reusable building blocks and monitoring.

  • Partner closely with product, design, data and marketing. Explain trade-offs, and push back when it's needed.

  • Own what you ship in production. If a number moves the wrong way after a release, you're among the first to notice and act.

  • Keep the product fast, because speed is a feature our users feel.

What success looks like

  • In your first weeks, you ship to production and launch your first experiment.

  • Within a few months, you own a part of the user journey and can show what you've moved.

Your must haves

  • 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.

  • Willingness to work in a fast-paced startup environment.

Nice to have

  • Previous experience on a growth or monetization team.

  • Experience with subscription products.

  • Experience building experimentation or analytics tooling.

  • Enough backend experience to shape an API together with backend engineers.

This role is not for you if

  • You need detailed specs and a roadmap that stays fixed for months.

  • You'd rather polish one feature for a quarter than ship many experiments and keep the ones that work.

  • You don't want to look at metrics after a release.

The deal

  • Top-of-market compensation in USD.

  • Meaningful stock options with significant upside.

  • Small team, high autonomy and outsized impact.

  • On-site role in our Almaty office (we will relocate you from anywhere).

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