Interested in this AI Product Manager role at Unity Technologies?
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The opportunity
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At Unity, we're shaping the future of real\-time 3D creation by making game development more accessible than ever. Our next\-generation human\-in\-the\-loop agentic AI, goal\-directed, adaptive, and capable of reasoning and planning in dynamic environments, is redefining how creators bring their ideas to life.
Unity AI is built to democratize game development the way modern tools transformed video creation: if you have an idea, you can make a game, guided by an agent that plans, executes, and iterates with you. For professionals, we aim to deliver a step\-change in efficiency with 10x productivity gains, faster iteration cycles, and richer creative exploration. As this vision scales, we expect a 10x–100x increase in high\-quality games, and a new era of digital entertainment.
We're looking for a Staff Product Manager to join the Unity AI product team and take ownership within a fast\-growing portfolio: our AI Assistant (now in beta) with deeper native integration into the Unity Hub on the way, new agentic AI experiences that open game creation to aspiring and AI\-native creators, and emerging workstreams in AI\-powered playtesting and world models. You'll join us at a moment where new products ship constantly, and you will help shape which problems we solve next.
What you'll be doing
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- Own product vision, strategy, and roadmap for one or more Unity AI workstreams, balancing near\-term iteration with bold long\-term innovation.
- Partner with engineering, design, and ML teams to design and deliver agentic AI\-powered workflows that simplify game creation.
- Drive rapid, iterative releases informed by user feedback in a fast\-paced environment.
- Define what a great AI experience looks like, including evaluations and benchmarks that guide product quality.
- Leverage market insight and user research to deeply understand creators' needs, from professional game developers to AI\-native hobbyists.
- Collaborate across Unity's ecosystem, aligning with teams in our Create and Grow divisions to deliver a unified product experience.
- Lead multi\-functional collaboration, aligning diverse key decision makers and guiding teams through ambiguity toward impactful outcomes.
What we're looking for
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- Extensive daily use of AI products in a professional work environment, along with a deep passion for and experience with vibe coding.
- Demonstrated success building products from initial concept (0\) through launch (1\), owning them end to end.
- Strong track record in Product Management, with the ability to operate at staff level and above.
- Experience writing and managing evaluations for AI products.
- Deep empathy for creators, with a customer\-obsessed mindset and passion for democratizing game development.
- Strong skills in prioritization, problem\-solving, and navigating ambiguity to deliver high\-impact outcomes.
- Passion for games: industry experience, hands\-on game creation, or games you've built yourself (including AI\-assisted).
You might also have
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- Experience with GenAI products in gaming or adjacent industries, or benchmarking experience for AI systems.
- Background in game development with hands\-on Unity experience.
- Solid grasp of AI/ML concepts and frameworks, particularly agentic and generative AI.
$200,400 \- $260,500
*This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.*
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well\-being and work\-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance \| Commute subsidy \| Employee stock ownership \| Competitive retirement/pension plans \| Generous vacation and personal days \| Support for new parents through leave and family\-care programs \| Office food snacks \| Mental Health and Wellbeing programs and support \| Employee Resource Groups \| Global Employee Assistance Program \| Training and development programs \| Volunteering and donation matching program
Life at Unity
Unity \[NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
*Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.* *If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out* *this form* *to let us know.*
*This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.*
*This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.*
*Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third\-party agency or company that does not have a signed agreement with Unity.*
*Your privacy is important to us. Please take a moment to review ourProspect* *andApplicant* *Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.*
Salary Context
This $200K-$260K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $188K across 140 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Unity Technologies, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $216,175 based on 270 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($230K) sits 7% above the category median. Disclosed range: $200K to $260K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Unity Technologies AI Hiring
Unity Technologies has 11 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Positions span Mountain View, CA, US, New York, NY, US, San Francisco, CA, US. Compensation range: $186K - $325K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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