Product Manager, Innovation - Edge & AI Solutions

Product Manager, Innovation - Edge & AI Solutions

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 Product Manager, Innovation for Edge & AI Solutions is responsible for rapidly incubating, validating, and shipping new AI-enabled solutions-taking ideas from concept to real-world deployment within tight, time-boxed cycles (typically 90 days or less).

This role sits within HP's Edge & AI Solutions incubation team, focused on accelerating innovation adjacent to HP's workstation and edge hardware portfolio. The emphasis is on speed, learning, and impact: researching opportunities, defining compelling product bets, prototyping working solutions, and driving evidence-based decisions to either kill, iterate, or commercialize.

Unlike traditional product roles centered on roadmap execution, this role is designed for a highly autonomous product builder-someone who can operate independently or with a small, cross-functional team to move quickly from insight to shipped capability.

While AI-driven innovation is the primary focus, this role will also contribute to select core workflow solutions, applying the same fast-learning, outcome-driven approach to improve existing offerings.

Key responsibilities:

• Rapid Product Incubation & Delivery
• Own end-to-end incubation of new Edge & AI solutions-from opportunity framing and customer discovery through prototype, pilot deployment, and decision point.
• Deliver tangible, working solutions within ~3-month cycles, prioritizing learning and real-world validation over perfection.
• Drive clear kill / iterate / commercialize recommendations based on customer signal, usage data, deployment feedback, and business fit.
• AI-Driven Solution Development
• Identify where AI meaningfully enhances Edge and workstation-class workflows-beyond demos, toward deployable, operational solutions.
• Leverage modern AI capabilities (e.g., agents, openclaw, LLMs, computer vision, automation, copilots) in ways that respect edge-specific constraints such as performance, security, offline operation, and lifecycle management.
• Partner with engineering to prototype pragmatic architectures that balance speed, robustness, and scalability.
• Product Ownership from Idea to Outcome
• Originate ideas based on customer insight, market dynamics, and technology trends-aligned to Edge & AI strategy.
• Define clear problem statements, success metrics, and validation plans before building.
• Own product decisions through pilot deployment, early customer usage, and post-launch learning loops.
• Hands-On Execution & Collaboration
• Work closely with engineering, design (when needed), and solution teams to ship minimum-lovable products, not slideware.
• Collaborate across functions (sales, partners, customer teams) to access real deployment contexts and feedback through customer engagements and pilots.
• Contribute directly to basic UX, workflows, and documentation to keep momentum high.
• Learning from Real-World Deployments
• Engage directly with users and customers-observing how solutions perform in real edge environments.
• Capture and synthesize deployment learnings to inform iteration, scaling decisions, and future bets.
• Share insights back into the broader Edge & AI portfolio to influence strategy and prioritization.

Core Outputs

• Incubation Prototypes & Pilots deployed in real or representative Edge environments.
• Validated Product Briefs outlining problem, solution, evidence, tradeoffs, and next-step recommendations.
• Kill / Scale Decisions supported by customer, technical, and business signal.
• Documented Learnings from AI and Edge deployments to inform future innovation efforts.

What Success Looks Like

• New AI-enabled Edge solutions move from concept to real customer validation in weeks-not quarters.
• Clear, confident decisions are made to stop, pivot, or invest further-reducing wasted effort.
• Early pilots demonstrate tangible value tied to core Edge and workstation workflows.
• Innovation efforts strengthen, rather than fragment, the broader Edge & AI portfolio.
• Teams trust the incubation process as a reliable engine for learning and informed bets.

Experience knowledge & skills

• 6+ years of experience in in Product Management or Lead SW Development roles, ideally in solutions-oriented or platform-adjacent environments.
• Proven ability to operate autonomously, managing ambiguity while driving toward concrete outcomes.
• Strong product intuition paired with a bias for validation through real usage and deployment.
• Familiarity and understanding of AI technologies (e.g., openclaw, agents, automation, computer vision, data-driven workflows).
• Understanding of Edge or hardware-adjacent product contexts (performance constraints, deployment complexity, security).
• Comfort working hands-on with prototypes, pilots, and early customers.
• Excellent communication skills, able to synthesize complex learnings into clear recommendations for senior stakeholders.

Nice to Have

• Experience incubating or launching "0→1" products or internal ventures.
• Exposure to workstation-class, industrial, or edge deployments.
• Prior work in AI-native products or AI integration within existing workflows.
• Engineering or technical background enabling deep collaboration with development teams.

Education:

• Bachelor's degree: in Computer Science, Engineering, Data Science, or related fields.
• MBA: is a plus but not required

The pay range for this role

is $116,150 to $182,400 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)

The 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 -

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 HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"