AI Product Engineer Jobs in Colorado
AI Product Engineer jobs in Colorado are among the most actively recruited technology roles in the state, concentrated in enterprise software, aerospace and defense, financial technology, and government technology contracting. Denver, Boulder, and Colorado Springs anchor the hiring market, with established employers like Lockheed Martin, DISH Network, and Charles Schwab consistently seeking engineers who can bridge machine learning systems and product delivery. The most in-demand specialties are large language model integration, MLOps pipeline development, and AI-driven product roadmap execution. Find a role that fits below and apply directly.
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Description -
Job Summary
This role is responsible for defining, planning, and executing the product strategy, collaborating with various teams to deliver software solutions that delight customers and meet business goals. The role plans and manages technical programs or projects, effectively steering them to meet specific roadmap and feature objectives. The role develops a comprehensive software vision and roadmap for product initiatives.
Key Responsibilities
Strategic Positioning & Messaging
- Own the messaging framework, value proposition, and competitive positioning for HP AI solutions within the Higher Education & Research segment.
- Define differentiated narratives for universities, research institutions, faculty, researchers, AI centers of excellence, and IT decision makers.
- Translate complex technologies including AI infrastructure, GPUs, workstations, AI software, hybrid AI environments, and agentic AI frameworks into business and research outcomes.
- Serve as the market expert for AI adoption trends, research computing needs, and emerging higher education priorities.
- Influence portfolio and roadmap decisions by bringing market insights, customer feedback, and competitive intelligence to cross-functional teams.
Go-to-Market Strategy & Execution
- Lead end-to-end go-to-market strategy for AI solutions targeting Higher Education and Research customers.
- Develop segment strategies, audience prioritization, launch plans, and growth initiatives aligned to business objectives.
- Partner with regional teams to drive adoption, pipeline creation, and customer engagement.
- Establish success metrics, track market performance, and continuously optimize GTM effectiveness.
- Drive alignment across product, marketing, sales, and partner organizations to ensure consistent execution.
Sales & Partner Enablement
- Own the development of strategic sales enablement assets, playbooks, solution briefs, competitive positioning, and executive presentations.
- Equip field teams with the messaging, tools, and insights required to effectively position HP AI solutions against competitors.
- Develop reference architectures, use case frameworks, and customer success stories demonstrating measurable value.
- Collaborate with alliance partners, ISVs, hardware providers, and AI ecosystem partners to strengthen HP's market position.
- Act as a trusted advisor to sales leadership on market trends, customer requirements, and competitive strategies.
Market Intelligence & Thought Leadership
- Monitor industry trends, emerging technologies, funding initiatives, competitive movement, and adoption of AI across higher education and research organizations.
- Conduct voice-of-customer programs and synthesize findings into actionable business recommendations.
- Represent HP at industry events, customer engagements, analyst briefings, and thought leadership opportunities.
- Develop market insights that inform investment priorities, product strategy, and future solution development.
- Establish HP as a recognized thought leader in AI infrastructure and solutions for Higher Education and Research.
Business Impact & Launch Leadership
- Lead complex product and solution launches across multiple stakeholder groups.
- Drive readiness across sales, marketing, and partner organizations.
- Influence revenue growth, pipeline development, customer adoption, and market awareness through strategic marketing initiatives.
- Measure and communicate business impact using data-driven metrics and executive-level reporting. Mentor and provide guidance to less experienced marketing team members.
Education & Experience Recommended
- Bachelor's degree in Computer Science, Engineering, Data Science, Marketing, Business, or a related field.
- Typically 10+ years of experience in product marketing, product management, solutions marketing, technical marketing, or related GTM roles.
- Demonstrated experience marketing AI, high-performance computing, enterprise infrastructure, cloud, software, data analytics, or emerging technologies.
- Deep understanding of AI ecosystems, including generative AI, agentic AI, AI model development, inference, data pipelines, and AI infrastructure.
- Proven ability to develop compelling technical and business narratives for executive, technical, and practitioner audiences.
- Experience leading cross-functional initiatives across product, sales, engineering, marketing, and partner organizations.
- Strong executive communication, storytelling, and presentation skills.
- Demonstrated ability to influence without authority and drive alignment across complex organizations. Strong analytical skills and experience translating market insights into actionable GTM strategies.
Preferred Certifications
NA
Knowledge & Skills
- Agile Methodology
- Automation
- Change Management
- Computer Science
- Continuous Improvement Process
- JIRA
- Kanban Principles
- Lean Manufacturing
- Milestones (Project Management)
- New Product Development
- Process Improvement
- Product Management
- Project Engineering
- Project Management
- Project Planning
- Project Schedules
- Risk Management
- Scrum (Software Development)
- Software Development
- Sprint Planning
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Compensation and Benefits
The pay range for this role is 116,150.00 - 171,350.00 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 -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
25%Relocation -
YesEqual 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 "
See All 15 AI Product Engineer Jobs in Colorado
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Find AI Product Engineer JobsAI Product Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
AI Product Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Colorado Employers Look For
The qualifications that appear most often in AI product engineer jobs across Colorado.
- Bachelor's or master's degree in computer science, machine learning, or a closely related engineering field
- Hands-on experience building and shipping AI or ML-powered products in a production environment
- Proficiency with Python and at least one major ML framework such as PyTorch or TensorFlow
- Ability to translate ambiguous business problems into scoped AI product requirements and engineering tasks
- Experience collaborating across data science, software engineering, and product management teams
- Familiarity with cloud infrastructure on AWS, Azure, or Google Cloud as it relates to AI model deployment
AI Product Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a ai product engineer in Colorado?
The most direct path is a bachelor's degree in computer science, software engineering, or a related field, followed by hands-on experience in machine learning or product development. Colorado has no state-issued license for this role, so employers screen on demonstrated technical output: shipped AI features, open-source contributions, or a graduate research portfolio. Many Colorado employers in the Denver and Boulder corridors also value completion of recognized machine learning specializations or graduate certificates from programs at the University of Colorado system.
Which companies hire ai product engineers in Colorado?
Employers hiring ai product engineers in Colorado right now include HP, Angi, and ukon, based on current listings on Migrate Mate as of November 2026. Colorado's concentration of aerospace, defense, and fintech companies means demand extends well beyond software-native firms into large systems integrators and regulated-industry employers.
Which Colorado cities have the most ai product engineer jobs?
Denver, Boulder, and Fort Collins account for the largest share of ai product engineer openings in Colorado. Denver leads because of its dense concentration of technology headquarters, fintech firms, and government contractors, while Boulder draws heavily from the University of Colorado research ecosystem and a strong cluster of venture-backed AI startups, and Colorado Springs reflects consistent demand from defense and aerospace employers based at and around the military installations there.
Are there remote ai product engineer jobs in Colorado?
Yes, and more than most fields. About 67% of ai product engineer openings tied to Colorado are remote or hybrid as of November 2026, reflecting how naturally this work fits distributed teams. The portions of the role most likely to stay fully remote are research, model evaluation, and roadmap work, while roles that require close coordination with on-site data infrastructure or hardware teams tend to require at least some in-office presence.
How can I get hired as a ai product engineer in Colorado with little or no experience?
The most realistic entry path is a junior product or associate machine learning engineer role, often available at Colorado's mid-size technology companies and defense contractors who run structured new-graduate programs. Employers like those in the Denver Tech Center and Boulder's startup corridor regularly hire through university recruiting partnerships with the University of Colorado and Colorado State University. Building a public project portfolio that demonstrates end-to-end AI feature development, contributing to open-source ML tooling, or completing a recognized graduate certificate gives candidates a concrete edge over others without formal work history.
Where can I find and apply to ai product engineer jobs in Colorado?
You can find and apply to ai product engineer jobs in Colorado on Migrate Mate, which lists current Colorado openings from employers actively hiring in the state. Search the listings, find roles that match your background and preferences, and apply directly to the ones that fit.
See All 15 AI Product Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
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