Interested in this AI Product Manager role at Lenovo?
Apply Now →About This Role
General Information
Req # WD00106527 Career area: Product Management Country/Region: United States of America State: Illinois City: Chicago Date: Friday, October 2, 2026 Working time: Full-time Additional Locations:
- United States of America - Illinois - Chicago
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
About Our Team
Lenovo's AI Ecosystem is a new, centralized AI organization designed to deliver a unified AI solution that seamlessly spans Lenovo Intelligent Devices Group devices and segments. We are a diverse, nimble, fast-paced team driven by entrepreneurial spirit. Our talented product and development teams combine deep user understanding with collaborative empowerment to create a new era of AI-powered experiences across wearables, smartphones, tablets, laptops, and cloud services.
We are seeking an AI Product Manager to help define, build, and launch the next generation of Lenovo AI experiences. This role is designed for a product manager who has demonstrated strong execution and is ready to take increasing ownership of an AI product area. You will work closely with engineering, design, research, product planning, and other product leaders to turn customer problems and emerging AI capabilities into simple, useful experiences.
Location: Chicago, IL. Candidates should be able to work collaboratively with the Chicago-based team and global Lenovo teams.
What You'll Do
- Own defined product features or workstreams within a larger AI product, from requirements through launch and iteration.
- Help identify user problems and opportunities where AI can create meaningful value for consumers or enterprise users.
- Translate product goals and user needs into clear requirements, user stories, acceptance criteria, priorities, and success metrics.
- Partner closely with engineering, design, research, and QA to deliver high-quality experiences on schedule.
- Build a working understanding of generative AI, large language models, AI agents, multimodal AI, and device/cloud AI capabilities, and apply them appropriately to product experiences.
- Use customer feedback, research, competitive analysis, product analytics, and experimentation to improve product decisions.
- Help evaluate technical tradeoffs including model quality, latency, privacy, safety, reliability, resource usage, and cost.
- Participate in product planning, roadmap development, sprint planning, demos, and launch readiness activities.
- Define and track product metrics, learn from post-launch results, and turn insights into follow-on improvements.
- Communicate progress, risks, decisions, and priorities clearly to cross-functional partners and product leadership.
Basic Qualifications
- Bachelor's or Master's degree in Business, Computer Science, Engineering, or Design disciplines.
- 5+ years of product management experience delivering software, digital, or technology products.
- Demonstrated experience working with engineering and design teams to ship customer-facing products or features.
- Experience translating customer needs into clear requirements and prioritizing work across competing needs.
Preferred Qualifications
- Experience with AI-powered products, generative AI, LLMs, AI agents, conversational interfaces, or multimodal experiences.
- Experience in enterprise software, productivity applications, SaaS, IT workflows, or B2B products.
- Familiarity with AI product considerations such as model evaluation, prompt design, grounding, privacy, responsible AI, security, and cost.
- Experience with mobile, web, Windows, Android, cloud, or consumer electronics products.
- Experience with rapid prototyping, user research, experimentation, analytics, or A/B testing.
- Comfort using modern product and engineering tools and working in agile or pod-based organizations.
- Entrepreneurial mindset and demonstrated ability to take ownership, bring clarity to ambiguity, and move work forward.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Ability to operate effectively in a fast-moving environment and learn new technologies quickly.
What Success Looks Like
You will quickly become a trusted product owner within an AI product area - understanding the customer problem, partnering effectively with engineering and design, making sound product tradeoffs, and driving features from idea to launch. Over time, you will take on broader product ownership and help Lenovo turn rapidly evolving AI capabilities into useful, high-quality experiences.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations:
- United States of America - Illinois - Chicago
- United States of America
- United States of America - Illinois
- United States of America - Illinois - Chicago
PAY TRANSPARENCY
The anticipated annual compensation range for this position is 105,000–161,000 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at www.lenovobenefits.com
Salary Context
This $105K-$161K range is in the lower quartile for AI Product Manager roles in our dataset (median: $193K across 99 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 9,653 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Lenovo, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 862 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($133K) sits 40% below the category median. Disclosed range: $105K to $161K.
Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.
Lenovo AI Hiring
Lenovo has 16 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, AI Architect. Positions span Morrisville, NC, US, Chicago, IL, US, North Carolina, United States. Compensation range: $161K - $161K.
Location Context
AI roles in Chicago pay a median of $194,700 across 390 tracked positions. That's 9% below the national median.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.
The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (193) are outnumbered by mid-level (4,500) and senior (3,455) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,505 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.