Senior AI Product Manager  

Job Summary 

The Senior AI Product Manager 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.

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