Principal Product Operations & Strategy Manager, Edge & AI Solutions

Improve how HP’s Edge & AI portfolio operates by strengthening alignment, product practices, and evidence-based strategy decisions.

Responsibilities

• Facilitate portfolio planning and alignment discussions linking Edge & AI strategy to shared priorities, sequencing, and success criteria.
• Detect gaps, overlaps, and dependencies across hardware, platform, and solution work; bring risks and trade-offs to product leadership for resolution.
• Maintain a consolidated view of product plans to support coordination and clarify how individual offerings contribute to the portfolio.
• Lead quarterly planning, portfolio reviews, and cross-team prioritization discussions, including preparation of inputs and documentation of decisions plus follow-up actions.
• Develop and maintain shared product practices for planning, customer validation, readiness reviews, and learning from product outcomes.
• Keep operating practices lightweight and practical to improve clarity and coordination as the portfolio grows.
• Enable teams to adopt shared discovery, prioritization, and outcome-tracking approaches, tailored to each solution’s maturity and needs.
• Partner with product teams and data owners to identify relevant product, customer, business, and deployment measures; incorporate these into portfolio reviews and planning.
• Support structured customer and user learning by providing shared approaches to interviews, surveys, and other research activities.
• Consolidate findings from customer research, product usage, field deployments, and partner feedback into insights and recommendations for portfolio decision-making.

Requirements

• 8+ years of relevant experience in Product Management, Product Operations, or portfolio management, including work with teams delivering software and hardware solutions.
• Proven ability to operate at the portfolio level and influence product direction without owning individual products.
• Experience establishing or improving product planning cadences, portfolio reviews, or shared product operating practices.
• Ability to facilitate trade-off discussions and drive adoption of shared practices across teams without direct authority.
• Strong qualitative synthesis skills, translating customer insights, deployment experience, and product signals into clear narratives.
• Experience preparing executive-ready portfolio reviews, recommendations, and trade-off discussions.
• Comfort collaborating with product, engineering, sales, and field teams to gather inputs and reconcile conflicting signals.
• Working knowledge of product and business metrics, including interpreting data, identifying gaps, and converting findings into recommendations (partners with data owners; no analytics infrastructure ownership required).
• Excellent communication skills, including effectiveness with senior product leaders.

Core outputs and artifacts

• Consolidated Portfolio Roadmap: Maintained view of roadmaps showing priorities, dependencies, and sequencing across Edge & AI offerings (individual product managers remain responsible for their own roadmaps).
• Shared Product Discovery Framework: Practical guidance for problem definition, customer validation, and solution testing, adapted to each solution’s maturity.
• Synthesized Customer and Deployment Insights: Consolidated findings from interviews, field deployments, usage data, and partner feedback, including implications for portfolio planning and product decisions.

What success looks like

• Product teams share understanding of portfolio priorities, dependencies, sequencing, and success measures.
• Portfolio reviews and planning decisions consistently use customer, deployment, usage, and business evidence.
• Teams apply practical product operating practices that improve coordination and decision-making across solutions.
• Product leaders have timely visibility into portfolio plans, customer insights, and product performance, with clear recommendations on risks and trade-offs.

Education

• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field, or equivalent relevant professional experience.
• MBA is a plus, but not required.

Location and schedule

• Location: Fort Collins, CO (onsite)
• Schedule: Full time
• Shift: No shift premium (United States of America)

Compensation

• Salary range: USD 147,050 - 230,850 per year
• Additional pay: Bonus and/or equity opportunities (US candidates only)

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

Disclaimer: This job description outlines the general nature and level of work for the role and is not an exhaustive list of duties, skills, responsibilities, or knowledge. Duties may change or additional functions may be assigned as needed by management.