Senior Product Manager (Trust & Safety)
Higgsfield AI is hiring a Senior Product Manager (Trust & Safety) in Almaty, Kazakhstan. Level rates it ; you can apply on Higgsfield AI.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include trust and safety, product management and content moderation.
- Level classifies it as a senior role.
- Level lists 95 other open roles at Higgsfield AI.
AI in this role
Own the Trust and Safety product surface for a generative AI video platform, managing classifiers, moderation tooling, and anti-fraud systems.
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.
Why this role exists
Higgsfield is one of the fastest-growing generative AI companies in the world. Every generation is a policy decision at scale, and the surface area (NSFW, IP, likeness, anti-fraud, deepfakes, regional law) grows every week. Trust & Safety needs a PM who can turn ambiguous legal, policy, and financial-abuse inputs into shipped systems, not another doc.
What you'll actually do
• Own the T&S product surface end-to-end: classifiers, appeals, user-facing warnings, moderator tooling, enforcement flows.
• Own anti-fraud alongside content safety: multi-account farms, free-trial abuse, refund abuse, chargebacks, prompt-injection cost exploits, reseller wrappers. Fraud is a large and growing share of the T&S problem here.
• Translate legal, policy, and financial-risk requirements into concrete product specs the ML and engineering teams can build against.
• Set thresholds and enforcement policy in partnership with Applied ML: what gets blocked, what gets warned, what gets appealed, and the dollar and reputational tradeoffs behind each choice.
• Run the incident loop when something breaks in production, provider escalations, misuse incidents, fraud spikes, new abuse vectors, and ship the fix.
• Design the metrics that matter: dollars saved from fraud, false-positive cost to legit users, false-negative legal exposure, appeal reversal rate, coverage across new models and markets.
• Work directly with Legal, Applied ML, Backend, Growth, Payments, and external providers to keep our contractual and regulatory obligations current.
Must-haves
Founding or early-operator experience. You've spent years trying to build something of your own. You know what it's like to own an outcome when nobody hands you a spec.
Shipped T&S, moderation, fraud, risk, or compliance products at scale. You've made real enforcement decisions that affected real users and real money.
Comfort with legal, policy, and financial-risk ambiguity. You've worked with counsel, payments providers, or regulators and translated their inputs into product.
Strong technical judgment. You can reason about classifier tradeoffs, fraud-detection tradeoffs, threshold selection, and evaluation without needing an engineer to translate.
You make decisions in dollars and risk, not opinions. A block rate has a cost, a miss has a cost, a false fraud flag has a cost, you can argue all sides.
Who this is not for
• You prefer working from complete specifications rather than defining problems yourself.
• You want to write strategy docs more than ship enforcement changes.
• You are looking for a slower release cycle. We ship weekly, and incidents can compress that to hours.
Nice to have
• Background at a generative AI, UGC platform, marketplace, or fintech risk team in the US, EU, or Asia.
• Direct experience with C2PA, child safety classifiers, IP takedowns, DMCA, GDPR enforcement, chargeback flows, or 3DS.
• Comfort with adversarial abuse patterns and how they evolve.
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 seat where your policy call ships to millions of generations the same week
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.
How we rate this
Senior Product Manager (Trust & Safety) at Higgsfield AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- Tell me about a project where trust and safety was part of your work. What did you do?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where content moderation was part of your work. What did you do?
- Tell me about a project where fraud prevention was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Trust And Safety, Product Management, Content Moderation, Fraud Prevention, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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