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About This Role
Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.
Senior AI Product Manager
Job Summary
The SeniorAIProductManager will lead product strategy, roadmap, and delivery for foundational AI platform solutions, including xylem.ai, Xylem’s secure internal platform for generative and enterprise AI capabilities. This role translates enterprise AI strategy into reusable, governed, scalable platform capabilities that accelerate adoption, reduce duplicative work, improve productivity, and enable responsible AI use across Xylem.
The role partners closely with AI leadership, IT, Enterprise Architecture, Cybersecurity, Data Governance, Legal, Procurement, business stakeholders, and development teams to prioritize high\-value capabilities, make sound platform decisions, and deliver secure, reusable AI products and services.
The successful candidate will combine strong product management discipline, technical depth, enterprise platform experience, and business acumen, with the ability to engage deeply with engineers and architects and contribute to prototyping, solution design, or architecture decisions when needed.
Essential Duties/Principal Responsibilities
Key Experiences
The successful candidate will typically have 10–15 years of relevant experience across product management, enterprise platforms, software engineering, AI/ML, data, digital transformation, or related technical leadership roles.
- Senior product management experience for enterprise platforms, AI/ML platforms, data platforms, SaaS products, or internal technology platforms.
- Demonstrated ownership of roadmaps, prioritization, backlog management, product requirements, release planning, adoption, and value realization.
- Hands\-on technical depth with the ability to partner with engineers and architects and contribute to design, prototyping, architecture, and implementation tradeoffs.
- Experience delivering AI, generative AI, automation, or data\-enabled products from concept through scalable deployment.
- Working knowledge of LLMs, RAG, AI agents, AI workflows, prompt orchestration, evaluation, telemetry, observability, APIs, cloud platforms, identity/access, and secure software practices.
- Experience applying governance, privacy, security, compliance, responsible AI, and risk\-management requirements to product and platform decisions.
- Experience operating in complex, global, matrixed, or regulated environments preferred.
Qualifications: Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Product Management, Business, or related field preferred.
- Advanced degree preferred but not required.
- Equivalent combination of education, technical depth, product experience, and enterprise platform leadership experience may be considered.
Qualifications: Leadership and Business Competencies
- Strong business acumen with the ability to connect platform investments to productivity, operational efficiency, customer impact, risk reduction, growth enablement, and measurable value.
- Strategic thinker who can translate enterprise AI priorities into clear product decisions and execution plans.
- Strong prioritization, product judgment, and scope discipline, balancing value, feasibility, risk, security, compliance, user experience, and delivery capacity.
- Ability to translate technical concepts into business decisions and business needs into actionable requirements.
- Strong communication, stakeholder influence, and cross\-functional leadership skills across technical teams, business teams, governance bodies, and senior leaders.
- Passion for responsible innovation, ethical AI, user\-centered product development, and enterprise change leadership.
The salary range for this position is $165,000 to $180,000 plus bonus. Starting pay is dependent on multiple factors, such as skills, experience, and work location, and is not typically at the top of the range. At Xylem, we offer a competitive compensation package with a generous benefit package, including Medical, Dental, and Vision plans, 401(k) with company contribution, paid time off, paid parental leave, and tuition reimbursement.
\#LI\-SUTTONMOORE
Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re\-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.
At Xylem, you'll not only contribute to solving water issues but also have the chance to make a difference through our paid Volunteer Program, Xylem Watermark. We prioritize our employees' well\-being through inclusion and belonging as well as our Employee Resource Groups (ERG). Proud to be an Equal Employment Opportunity (including disability and veterans) and Affirmative Action workplace, Xylem fosters an inclusive environment free from discrimination or harassment.
Please note that the information in this job description outlines the general nature of the position and is not an exhaustive list of duties. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. We reserve the right to modify this job description and assign additional duties as needed. Embrace the opportunity to be part of Xylem's transformative journey in shaping the future of water technology! \#XylemCareers \#GlobalImpact \#WaterInnovation
Salary Context
This $165K-$180K range is below the median for AI Product Manager roles in our dataset (median: $185K across 167 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 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Xylem, 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 $217,100 based on 471 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($172K) sits 21% below the category median. Disclosed range: $165K to $180K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Xylem AI Hiring
Xylem has 1 open AI role right now. They're hiring across AI Product Manager. Based in Charlotte, NC, US. Compensation range: $180K - $180K.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 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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