Senior Product Operations & Strategy Manager, Edge & AI Solutions
HPAbout the role
Description -
About Us
Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe.
HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.
Role Overview
The Senior Product Operations & Strategy Manager for Edge & AI Solutions is responsible for strengthening how HP’s Edge & AI product portfolio operates—ensuring alignment, consistency, and data-informed decision making across a diverse set of solutions.
This role acts as a portfolio‑level enabler for Product Strategy, working across Product Management, Engineering, Design, Marketing and Sales teams to ensure the Edge & AI strategy is executed into clear priorities, shared best practices, and measurable outcomes. The focus is not on owning individual products, but on improving how products are conceived, prioritized, validated, and scaled across the portfolio.
Success in this role requires strong systems thinking, comfort operating in ambiguity, and the ability to synthesize customer, market, and product signals into insights that improve strategic decisions—particularly in real‑world Edge & AI deployment environments.
Key responsibilities:
Product Alignment & Portfolio Coherence
- Support alignment across the Edge & AI product portfolio by helping teams connect product strategy to clear priorities, sequencing, and success criteria.
- Identify gaps, overlaps, and dependency risks across solutions, especially where hardware‑adjacent, platform, and solution‑level work intersects.
- Help ensure Edge & AI offerings evolve cohesively as a portfolio, not as disconnected point solutions.
Product Operating Practices, Cadence & Standards
- Lead and maintain the portfolio‑level product operating cadence, including quarterly planning, portfolio reviews, and cross‑team prioritization alignment.
- Define, promote, and evolve product best practices across the portfolio, including planning, validation, readiness, and learning loops.
- Establish lightweight, scalable product operating mechanisms that improve clarity and execution without introducing unnecessary process.
- Help teams adopt consistent approaches to product discovery, prioritization, and outcome tracking—while respecting differences in solution maturity.
Outcome Based Product Strategy Support
- Enable strong data‑based decision making by ensuring the right product, customer, and deployment signals are visible, comparable, and actionable.
- Enable structured customer and user learning across the portfolio by supporting consistent approaches to interviews, surveys, and other research activities.
- Coordinate across functions to ensure insights are accessible and actionable, helping teams incorporate customer, usage, and deployment learnings.
Core Outputs & Artifacts
- Portfolio Roadmap that provides cross‑solution visibility into priorities, dependencies, and sequencing across Edge & AI offerings.
- Standardized Product Discovery Model A shared framework for customer validation, problem definition, and solution testing, scaled appropriately across solution maturity levels.
- Synthesized Customer Insights Consolidated insights drawn from customer interviews, field deployments, usage data, and partner feedback.
What Success Looks Like
- Clearer alignment across Edge & AI product teams on strategy, priorities, and success metrics.
- Product decisions increasingly grounded in real customer, deployment, and usage evidence.
- Consistent, lightweight product practices that improve speed, clarity, and quality across the portfolio.
- Clear, customer insights, and product performance through standardized frameworks and synthesis of key signals.
Experience knowledge & skills
- 8+ years of experience in Product Management in solutions focused teams (software and hardware).
- Demonstrated ability to operate at the port
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