Product Manager

Reposted 4 Days Ago
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Almaty, KAZ
In-Office
Mid level
Artificial Intelligence • Marketing Tech • Software • Generative AI
The Role
The Product Manager will lead the end-to-end product lifecycle, define product roadmaps, collaborate with teams, and make data-informed decisions in a fast-paced, AI-driven environment.
Summary Generated by Built In

At Higgsfield AI, we’re building creative tools for the next generation of storytelling.

We believe AI will fundamentally change how films, videos, images, and interactive experiences are created — not by replacing creativity, but by giving creators entirely new creative leverage.

Our products help people generate cinematic visuals, explore impossible ideas, and build content workflows that previously required entire teams.

We’re a fast-moving, product-obsessed team operating at the intersection of AI, design, and engineering. We prototype aggressively, ship fast, and care deeply about craft.

Who we're looking for

We're looking for product builders who move fast, have strong product taste, and are excited about shaping the future of AI.

You might be a founder, product manager, designer, engineer, or data analyst who has taken products from idea to reality and learned from the process.

We care less about titles and years of experience and more about evidence that you can:

  • Ship products from 0→1 and scale them beyond launch

  • Navigate ambiguity and turn messy problems into clear priorities

  • Move quickly, iterate often, and learn from users

  • Write clearly and communicate ideas effectively

  • Make strong product decisions with imperfect information

  • Obsess over user experience and product quality

  • Work directly with customers and deeply understand their needs

  • Collaborate closely with engineers and designers to deliver exceptional products

Particularly relevant experience

Any of the following is a strong signal:

  • AI-native or agentic products

  • Creator tools and creator economy products

  • Collaboration software

  • Cloud storage, asset management, or file-based workflows

  • Growth, onboarding, activation, retention, or monetization

  • Consumer subscriptions and paywalls

  • Mobile consumer products

  • Marketplaces and two-sided platforms

  • B2B SaaS or enterprise software

AI fluency

You should be deeply curious about AI and actively using it in your work.

We're especially interested in people who have built AI-powered products, worked closely with AI systems, experimented with agents, or use AI extensively to prototype, build, and ship.

What success looks like
  • You ship quickly and maintain a high quality bar

  • You use AI as a product primitive, not a feature

  • You combine strong intuition with rigorous thinking

  • You consistently turn ideas into shipped products and measurable outcomes

  • You thrive in a high-ownership, high-velocity environment


Interview Process
  • Recruiter screening interview

  • Technical product interview with VP of Product & Engineering

  • Case interview

  • Product home assignment

  • Home assignment review interview

  • Final interview with the founders - Yerzat Dulat & Alex Mashrabov

We aim to complete the process within 1–2 weeks and move quickly with strong candidates.

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).

Skills Required

  • 3-5 years of product management experience
  • Experience owning products from concept to launch, especially in GenAI
  • Strong analytical skills, comfortable with data and SQL
  • Excellent English communication skills, both written and verbal
Am I A Good Fit?
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The Company
70 Employees
Year Founded: 2023

What We Do

Higgsfield is an AI-native generative video platform that provides infrastructure for AI video and image generation, enabling creators, brands, and marketing teams to produce cinematic-quality visuals at scale by integrating various AI models into a unified workflow.

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