Principal Product Operations & Strategy Manager, Edge & AI Solutions

HP•Fort Collins, CO

About The Position

The Principal Product Operations & Strategy Manager strengthens how HP’s Edge & AI product portfolio operates by improving alignment, product practices, and evidence-based decision making across solutions. The role works across Product Management, Engineering, Design, Marketing, and Sales to lead the portfolio operating cadence, maintain shared planning and discovery frameworks, and synthesize insights that inform product strategy. It helps teams translate strategy into coordinated priorities, understand dependencies, and evaluate outcomes; individual product managers retain ownership of their products and roadmaps. The position calls for systems thinking, sound judgment in ambiguous situations, and the ability to turn customer, market, product, and deployment evidence into clear recommendations for product leaders. Core outputs include a consolidated portfolio roadmap; practical shared product discovery guidance; and synthesized customer and deployment insights. Success means teams share an understanding of portfolio priorities, dependencies, sequencing, and measures of success, while product leaders receive timely visibility into plans, insights, performance, risks, and trade-offs. This is a full-time software role. The stated annual pay range is $147,050 to $230,850 USD, with additional opportunities for bonus and/or equity for candidates in the United States. Pay varies by work location, job-related knowledge, skills, and experience.

Requirements

8 or more years of relevant experience in Product Management, Product Operations, or portfolio management, including work with teams delivering software and hardware solutions.
Demonstrated ability to operate at the portfolio level and influence product direction without direct ownership of individual products.
Experience establishing or improving product planning cadences, portfolio reviews, or shared product operating practices.
Ability to facilitate trade-off discussions and gain adoption of shared practices across teams without direct authority.
Strong qualitative synthesis skills, including connecting customer insights, deployment experiences, and product signals into clear narratives.
Experience preparing executive-ready portfolio reviews, recommendations, and trade-off discussions.
Comfort working with product, engineering, sales, and field teams to source inputs and reconcile conflicting signals.
Working knowledge of product and business metrics, including interpreting data, identifying gaps, and translating findings into recommendations.
Excellent communication skills, including the ability to work effectively with senior product leaders.
Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field, or equivalent relevant professional experience.

Nice To Haves

MBA.

Responsibilities

Facilitate portfolio planning and alignment discussions connecting Edge & AI strategy to shared priorities, sequencing, and success criteria.
Identify gaps, overlaps, dependencies, risks, and trade-offs across hardware, platform, and solution work, and bring them to product leaders for resolution.
Maintain a consolidated view of product plans to support coordination and show how individual offerings contribute to the portfolio.
Lead quarterly planning, portfolio reviews, and cross-team prioritization discussions, including preparing inputs and documenting decisions and 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, improving clarity and coordination as the portfolio grows.
Support teams in adopting shared discovery, prioritization, and outcome-tracking approaches, adapting them to each solution’s maturity and needs.
Work with product teams and data owners to identify relevant product, customer, business, and deployment measures and bring them into portfolio reviews and planning.
Provide shared approaches for customer and user learning, including interviews, surveys, and other research activities.
Consolidate customer research, product usage, field deployment, and partner feedback findings into insights and recommendations for portfolio decisions.
Prepare executive-ready portfolio reviews, recommendations, and trade-off discussions.