---
title: 'Data Science, Product Analyst at Higgsfield'
canonical: 'https://feeny.ai/job/data-science-product-analyst-higgsfield-almaty-x91an0c9zgh9'
type: 'job'
last_seen: '2026-09-11'
---

# Data Science, Product Analyst at Higgsfield 

- **Company:** Higgsfield 
- **Location:** Almaty, Kazakhstan
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-07
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/higgsfieldai/acff8f8d-e7f0-4271-86b4-dded83b0da9f

## Job description

Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. What This Role Means at Higgsfield This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure:

- Every product decision has a number attached to it before it ships and after it ships
- Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”
- The events the product emits can be trusted; you own the definition, not just the query
- A PM gets an answer in hours, not next sprint

You are the person who decides what “it worked” means.

## What You Will Do

Product measurement

- Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.
- Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.
- Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.
- Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.

Experimentation

- Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.
- Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.
- Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.

Product & monetization analysis

- In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.
- Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.
- Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.”
- Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.

Making it usable

- Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive.
- Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.
- Automate recurring reporting so your hours go to new questions, not refreshes.
- Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.

Who We're Looking For We're looking for an analyst with opinions. You should have:

- Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help.
- Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.
- Real experimentation experience: you have designed tests, run them, and killed features with the results.
- Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.
- Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.
- The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.
- Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.
- Clear written and spoken English, B2+.

Backgrounds that often do well:

- Product analysts from consumer subscription or PLG products
- Growth/BI analysts who moved into product and stayed
- Early-startup analysts who built product measurement from zero
- Data scientists who got tired of models and want decisions

What This Role Is Not This role is not a fit if you:

- Wait for a ticket to tell you what to analyze
- Want to build models more than you want to change decisions
- Need a data engineering team and clean tables to exist before you can start
- Would report a lift you don't believe in because a stakeholder wants it
- Need perfect data before you can say anything useful
- Want predictable 9–5 workdays

## What We Offer

- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.

This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.

## About Higgsfield 

## Core Business
- **Primary Industry**: AI-powered creative tools / Generative AI for video and image
- **Target Customers**: B2B and B2C – from first-time creators and social media influencers to professional filmmakers, marketing agencies, and Fortune 500 enterprises
- **Mission**: "Make cinematic-quality video and image creation accessible to anyone with an idea." [higgsfield.ai](https://higgsfield.ai/about)

## Products & Services
- **Higgsfield Platform (All-in-One Creative Studio)**: A web-based AI studio that combines proprietary and partner models for text-to-video, image-to-video, storyboarding, and full cinematic production. Includes:
  - **Soul 2.0** – Photorealistic image generation for fashion and editorial.
  - **Soul Cinema** – Cinematic-grade image generation.
  - **Higgsfield DOP** – Cinematic video generation.
  - **Keyframes** – AI storyboard generation.
  - **Cinema Studio** – Professional filmmaking workspace with 1,296 camera lenses, cinematic parameters, and color grading.
  - **Soul ID** – Character consistency system.
  - **Soul HEX** – Color control system.
  - **Reasoning Engine** – Proprietary layer that plans narrative structure, camera logic, and visual consistency before generation.
- **Higgsfield Earn** – Creator monetization program that pays creators for platform work and connects them with professional projects from Fortune 500 agencies, NBA teams, and fashion houses.
- **Enterprise Content** – Campaign production for Fortune 500 agencies.
- **Social Media Content** – Optimized for TikTok, Reels, and Shorts.
- **Product Video Ads** – Click-to-Ad generation from product URLs.
- **Pre-Production & Storyboards** – For directors and agencies.

## Market Standing
- **Valuation**: Over $1.3 billion (unicorn) as of 2025/2026 [higgsfield.ai](https://higgsfield.ai/about)
- **Key Metric**: Total funding reported as $138.25M (conflicting reports: LinkedIn shows $138.25M across multiple rounds; the careers page states "$130M raised in Series A") [linkedin.com](https://www.linkedin.com/company/higgsfield) | [careers.higgsfield.kz](https://careers.higgsfield.kz/)
- **Notable Investors**: Accel, Menlo Ventures, GFT Ventures, AI Capital Partners [higgsfield.ai](https://higgsfield.ai/about)
- **Growth Signals**:
  - 25 million users, 850 million total generations (300 million videos) [higgsfield.ai](https://higgsfield.ai/about)
  - 6 million generations per day (2 million videos per day)
  - Headcount: 193 employees, monthly growth +13.1% [linkedin.com](https://www.linkedin.com/company/higgsfield)
  - Operations in 35 countries; major offices in San Francisco (USA) and Almaty (Kazakhstan)
  - Covered by Reuters, Forbes, TechCrunch, Adweek, and OpenAI

## Competitive Advantages
- **Proprietary Cinematic Logic Layer**: A reasoning engine that plans narrative, camera motion, and visual consistency before any generation – differentiating from simpler text-to-video tools.
- **Full-Stack AI Infrastructure**: Combines in-house models (Soul series, DOP, Cinema Studio) with partner models (Sora 2, Kling 3.0, Veo 3.1) under one platform.
- **Creator-First DNA**: 40% of the team are filmmakers, producers, and creatives who shape the product roadmap.
- **Monetization Engine (Higgsfield Earn)**: Direct payouts and professional project matching create a self-reinforcing creator ecosystem.
- **Scale & Speed**: 200+ releases since launch; weekly shipping cadence.

## Strategic Focus
- Democratizing professional-grade video creation for all skill levels.
- Expanding enterprise and agency partnerships (Fortune 500 agencies already onboard).
- Deepening creator monetization and community-driven product development.
- Scaling the platform’s reasoning engine and model orchestration capabilities.

## Why Work Here
- **Culture**: "Built by creators, shaped by community" – a blend of ML engineers and award-winning filmmakers working in a tight feedback loop.
- **Growth Trajectory**: Unicorn status with 13% monthly headcount growth; positioned as a "next decacorn" by the company.
- **Hiring Speed**: Full process from first conversation to offer takes 1–2 weeks [careers.higgsfield.kz](https://careers.higgsfield.kz/)
- **Global Team**: Employees in 35 countries; office hubs in San Francisco and Almaty (Kazakhstan). Remote/hybrid policy not explicitly stated, but the distributed nature suggests flexibility.
- **Notable Perks**: Opportunity to work on cutting-edge AI video models, direct impact on a platform used by 25M creators, and the chance to join a unicorn in its early scaling phase.
- **Engineering Focus**: Strong emphasis on ML, backend engineering, and data annotation; top engineers from Central Asia are a key talent pool.

## Sources
1. [higgsfield.ai – About page](https://higgsfield.ai/about)
2. [higgsfield.ai – Homepage schema](https://higgsfield.ai/)
3. [LinkedIn – Higgsfield AI company page](https://www.linkedin.com/company/higgsfield)
4. [careers.higgsfield.kz – Careers page](https://careers.higgsfield.kz/)
5. [getlatka.com – Higgsfield AI profile](https://getlatka.com/companies/higgsfield.ai)
6. [jobs.ashbyhq.com – Higgsfield AI careers (provided by user)](https://jobs.ashbyhq.com/higgsfieldai)

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