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About This Role
Job ID 25WD92702 Department Product Management Job Requisition ID #
25WD92702
Principal Product Manager - Flow Studio (GenAI Products)
Location: East Coast Canada or US (Remote)
About Autodesk Media & Entertainment
Autodesk empowers creators and studios around the world with tools for digital content creation, visual effects, animation, and production.
Generative AI is rapidly reshaping how entertainment is made, and Autodesk Flow Studio is at the center of that transformation. We’re looking for a Principal Product Manager to help bring the next generation of AI-powered creative workflows to artists and studios worldwide. This Product Lead will work very closely with the development team from Europe.
The Opportunity
As the Principal Product Manager for Flow Studio, you’ll help turn product strategy into action. You’ll connect teams across Autodesk, translate emerging GenAI opportunities and customer needs into clear priorities, and help drive products and capabilities from strategy through launch.
You’ll work closely with Product, Engineering, UX, Marketing, Sales, Legal, Trusted AI, and customers—bringing clarity to complex initiatives, removing blockers, and keeping teams aligned in a fast-moving AI landscape.
This is an opportunity to work hands-on with emerging generative AI technology and help shape how it transforms visual effects and content creation.
What You’ll Do
- Turn strategy into execution: Translate Flow Studio’s product strategy and emerging GenAI opportunities into clear roadmaps, priorities, decisions, and action.
- Drive roadmap alignment: Keep priorities, dependencies, risks, owners, and next steps visible across teams.
- Bring the customer perspective: Engage with customers and partners to understand how AI is changing creative workflows and turn feedback, usage patterns, and market signals into actionable insights.
- Stay ahead of the GenAI landscape: Experiment hands-on with leading AI tools and track new models, competitors, workflows, and capabilities to identify implications for Flow Studio.
- Orchestrate across teams: Coordinate Product, Engineering, UX, Marketing, Sales, Legal, Trusted AI, and other stakeholders to keep initiatives moving.
- Support successful launches: Partner with go-to-market teams on positioning, readiness, enablement, dependencies, and launch execution.
- Remove blockers: Navigate a large, matrixed organization, surface risks early, drive decisions, and escalate when needed.
- Communicate with impact: Build executive-ready presentations and narratives that simplify complex product and AI topics and drive alignment.
What You Bring
- 8+ years of experience in product management, product operations, program leadership, or a related role.
- Strong knowledge of generative AI and AI-powered creative workflows, with hands-on experience using modern image, video, animation, performance, AI filmmaking and AI production tools. .
- Experience bringing AI/ML or other technically complex products from concept through production and launch.
- Proven ability to lead complex, cross-functional initiatives across Product, Engineering, Marketing, Sales, Legal, governance, and customer-facing teams.
- Strong product judgment and the ability to translate strategy into actionable plans, manage competing priorities, and make pragmatic trade-offs.
- Exceptional written, verbal, and presentation skills, including executive-level storytelling.
- A highly organized, proactive working style and a track record of creating clarity and momentum in fast-moving environments.
- Commitment to responsible AI development and effective partnership with Legal, Trusted AI, and governance teams.
- Media & Entertainment, VFX, animation, gaming, or creative technology experience is required
Bachelor’s degree in Business, Engineering, Computer Science, or equivalent experience.
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Nice to Have
- Familiarity with Flow Studio, Autodesk Production Management, Maya, Unreal Engine, Blender, or similar creative production tools
- Experience with Agile/Scrum and large, matrixed organizations.
- Familiarity with cloud platforms such as AWS or Azure, analytics, 3D graphics, or rendering pipelines.
Help shape the future of AI-powered entertainment production.
Join Flow Studio and help turn rapidly evolving AI capabilities into creative workflows that artists and studios can put to work.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $149,000 and $266,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
Salary Context
This $149K-$266K range is above the median for AI Product Manager roles in our dataset (median: $194K across 123 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 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Autodesk, 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 Required
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 $220,200 based on 947 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $229,300. This role's midpoint ($207K) sits 6% below the category median. Disclosed range: $149K to $266K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Autodesk AI Hiring
Autodesk has 5 open AI roles right now. They're hiring across AI/ML Engineer, MLOps Engineer, AI Product Manager. Positions span Boston, MA, Montreal, Quebec, Canada, New York, NY, US. Compensation range: $266K - $320K.
Location Context
AI roles in New York pay a median of $221,000 across 3,078 tracked positions. That's 4% above the national 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 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 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 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). 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 (106) are outnumbered by mid-level (4,384) and senior (3,343) 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 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 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 $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. 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 $256,000 median, while Prompt Engineer roles sit at $141,440. 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 (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 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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