AI Product Manager

Description -

Job Summary / Position Overview

HP is seeking an AI Product Manager to define build and scale AI-driven products and capabilities across our enterprise platform landscape (e.g. SAP ServiceNow MuleSoft Adobe Commerce and automation platforms). This role is accountable for end-to-end product ownership including opportunity identification product strategy roadmap development requirements definition backlog management delivery partnership with engineering and ongoing adoption and optimization.

The ideal candidate brings a strong learning mindset and curiosity practical familiarity with AI product management and a technical foundation enabling effective partnership with engineering and architecture teams.

Key Responsibilities

AI Product Strategy & Innovation

• Identify evaluate and prioritize AI and automation opportunities across enterprise platforms and business processes.
• Define product vision outcomes and roadmap aligned to business priorities and platform strategy.
• Assess platform-native AI capabilities versus custom-built solutions to maximize value speed and scalability.

Product Lifecycle Management

• Own the full product lifecycle from ideation through delivery adoption continuous improvement and end-of-life planning.
• Translate strategy into clear product requirements user stories acceptance criteria and a well-managed backlog.
• Drive product operating rhythms including sprint readiness prioritization release planning and measurable outcomes.

Cross-Functional Leadership & Stakeholder Management

• Partner closely with platform engineering architecture security operations and business stakeholders to deliver value at enterprise scale.
• Provide clear communication on product direction tradeoffs milestones risks and outcomes to senior stakeholders.

AI Governance Responsible AI & Risk Management

• Ensure AI products align to responsible AI principles and enterprise expectations for compliance security and privacy.
• Contribute to governance practices that reduce risk (e.g. model behavior data exposure operational controls) while enabling innovation at speed.

Metrics Adoption & Value Realization

• Define success metrics and drive adoption through iterative enhancements stakeholder enablement and outcomes tracking.
• Track and report product performance indicators to guide prioritization and future roadmap decisions.

Required Qualifications

• Bachelors degree in Business Engineering Computer Science Data Science or related field
• 710 years of experience in Product Management Digital Transformation or Enterprise Platforms
• Significant experience in product management across digital/software products with demonstrated exposure to AI/ML or GenAI concepts and use cases.
• Strong product fundamentals: discovery requirements definition prioritization backlog hygiene and release execution.
• Demonstrated ability to influence and align cross-functional stakeholders in a matrixed enterprise environment.
• Curiosity and learning agility: strong ability to learn new domains quickly ask incisive questions and turn ambiguity into product clarity.

Preferred Qualifications

• Technical background in software engineering data or applied AI/ML; ability to engage with engineering teams on feasibility architecture considerations and delivery tradeoffs.
• Experience with LLMs prompt engineering and responsible AI practices.
• Exposure to GenAI platforms and cloud AI services (e.g. Azure AI and similar).
• Experience with AI deployment patterns or scaling AI solutions across large organizations
• Experience building AI-powered products or intelligent automation solutions
• Product management and AI related certification is a plus

Knowledge Skills and Competencies

• Product strategy and roadmap ownership; ability to connect product decisions to measurable business outcomes.
• Strong written and verbal communication including executive-ready storytelling and business case development.
• Structured problem-solving prioritization discipline and bias for execution.
• Strong collaboration and leadership in cross-functional product operating models.

Pay & Benefits

The pay range for this role is $116150 to $182400 USD annually with additional

opportunities for pay in the form of bonus and/or equity (applies to United

States of America candidates only). Pay varies by work location job-related

knowledge skills and experience.

Benefits:

HP offers a comprehensive benefits package for this position including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

• US benefits overview compensation and benefits information is accurate as of the date of this

  posting. The Company reserves the right to modify this information at any time

  with or without notice subject to applicable law.

  Job -

  Software

  Schedule -

  Full time

  Shift -

  No shift premium (United States of America)

  Travel -

  Relocation -

  No

  Equal Opportunity Employer (EEO) -

  HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

  Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

  For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal