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Sr Product Manager, AI Transformation
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- Location(s):
- Chicago, IL, US, 60654
Austin, TX, US, 78701
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RWE Americas, LLC
To start as soon as possible, full time, permanent
The Sr. Product Manager, AI transformation , part of the broader Strategy department, leads the company’s AI agenda from setting ambition to execution. The team partners with the Executive Leadership Team (ELT) to define AI priorities and works closely with IT and business functions to deliver against the strategy. It also monitors the evolving AI landscape, translating emerging trends into actionable opportunities in collaboration with relevant business units.
Role Responsibilities:
- Own the end\-to\-end roadmap and delivery of AI and data products, leading cross\-functional squads (including engineering, data science, platform, functional rep) from ideation through deployment and scale
- Translate complex business problems and vision into executable product scope, prioritized backlogs, measurable releases, and delivery plans
- Partner with business stakeholders to define requirements and embed AI into operational workflows, ensuring solutions deliver on value targets through user adoption and sustained process change
- Partner with platform owners and architects to define data requirements and ensure data readiness for AI model performance and scalability
- Provide product input into build vs. buy decisions, including vendor evaluation, capability assessment, and alignment with long\-term product strategy
- Define and operationalize success metrics across model performance, user adoption, workflow impact, and financial value realization
- Design experimentation frameworks (A/B testing, agent behavior evaluation, human\-in\-the\-loop validation) to continuously improve system performance
- Establish feedback loops that capture user behavior, edge cases, and operational outcomes to inform continuous iteration and roadmap evolution
- Drive adoption strategy, enablement, and change management to ensure AI capabilities translate into sustained business impact
Job Requirements and Experience:
- Bachelor’s degree in STEM or a related field preferred
- Minimum 7 years of relevant professional experience in product management, digital delivery, transformation initiatives, or related roles, ideally within agile or squad\-based delivery models
- Strong product management capabilities, including roadmap development, backlog prioritization, sprint planning, and outcome tracking for digital / AI\-enabled products
- Working knowledge of AI/ML concepts, data science workflows, generative AI, and emerging agentic solutions sufficient to engage credibly with and guide technical teams
- Ability to translate complex business problems and AI\-driven product visions into clear, structured requirements and user stories
- Experience leading delivery in cross\-functional, squad\-based environments
- Strong analytical and problem\-structuring skills, comfortable operating in ambiguity and iterating as digital and AI use cases evolve
- Effective stakeholder management, aligning business, product, and technical perspectives on value, feasibility, and risk trade\-offs
- Solid program management discipline, ensuring clear milestones, dependencies, and execution rigor in fast\-moving digital transformation contexts
- Pragmatic and quality\-focused, balancing rapid experimentation with value delivery
- Proactive and solution\-oriented, constructively challenging assumptions and driving continuous improvement
- Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets and transmission systems, renewable project development and commercialization, and clean energy technologies preferred
- Proficiency in standard productivity tools (e.g., Excel, PowerPoint) and product management tools (e.g., Jira, Miro)
- This position is an office\-based role with some travel and visits to other RWE Americas offices and field locations
Must be able to sit, walk, or stand for long durations of time
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*Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or take over sponsorship of employment visas at this time.*
Pay range: The annual base salary range for this position in Illinois is $160,000 \- $200,000\. The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s education \& work experience, training \& certifications, and key skills as well as market and business considerations at the time of the offer.
Location: Please note that these roles are currently expected to be in\-office hybrid positions based in Austin, Chicago, or White Plains, as those are the team's primary locations, unless a different location is specified in the job posting. If you currently have a remote exception or are not located in one of these markets, please confirm whether you would be open to relocating should you be considered for the opportunity. By submitting your application, you acknowledge and understand these location expectations.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short\-Term Disability, Long\-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short\-term incentives, in addition to salary.
Apply with just a few clicks: ad code 92844
Any questions? Contact; rwe\_americas\_recruiting@rwe.com
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
RWE Americas, a subsidiary of RWE, is a US\-based energy company that is helping to meet the growing demand for energy across the United States. Backed by RWE’s 125\-year global legacy of managing diverse power assets, RWE Americas operates approximately 13 GW of power projects across 27 states. With a talented workforce of 2,000 employees, RWE Americas develops, constructs and operates wind, solar and battery storage projects, along with natural gas\-powered generation, that safely deliver affordable, reliable electricity to our customers. Committed to responsible development, RWE Americas invests in local and rural communities, creating jobs and partnering with stakeholders to support and strengthen the places where we live and work. Learn more about how RWE Americas is generating impact at americas.rwe.com .
At RWE Americas, we foster a culture defined by our Essential Behaviors \- Have Courage, Create Impact and Actively Collaborate. We encourage bold thinking and continuous learning, and we value ownership, resilience and inclusion in everything we do. When you join us, you become part of a team that supports your development, respects your contributions and celebrates shared success. This is a place where you can grow your career and make a meaningful difference.
Salary Context
This $160K-$200K range is below the median 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 RWE, 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 ($180K) sits 17% below the category median. Disclosed range: $160K to $200K.
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.
RWE AI Hiring
RWE has 2 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer. Positions span Chicago, IL, US, Austin, TX, US. Compensation range: $200K - $200K.
Location Context
AI roles in Chicago pay a median of $205,100 across 97 tracked positions. That's 6% below 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 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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