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Date: Jul 9, 2026
Location: Renton, WA, US, 98057
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Company: PACCAR
The AI Product Manager lead analysis, development and implementation of an AI strategy within ITD applications.
Job Functions/Responsibilities
Define the direction for AI at PACCAR ITD Applications – craft a strategy and roadmap that aligns business outcomes, data/platform realities, and responsible AI Standards.
Lead the AI Applications team of matrixed resources including developers
Cultivate relationships with AI user groups and practice leaders from other groups inside of ITD
Identify opportunities across ITD Applications where AI can deliver enhanced efficiency, scalability, and automation, and translate them into scoped opportunities with measurable outcomes.
Alternately identify, lead and support pilot projects to test and scale successful AI use cases into solutions shared across ITD Applications.
Own program planning and execution—tracking project progress, dependencies, risks, and benefits across workstreams, and driving delivery with clarity and discipline.
Monitor support issues for AI services and identify recurring patterns with long term fixes.
Ensure alignment to data governance, security, and responsible AI policies; drive reviews in partnership with InfoSec, Legal, and Compliance
Qualifications
Minimum of 7 years experience in software development programs
Bachelor's Degree in Computer Science or related field
Experience and/or training in Artificial Intelligence and its uses in software development and platform support
Experience leading development and implementation of IT strategy desired
Track record of delivering complex work in conditions of uncertainty.
Demonstrated leadership skills, including ability to lead cross functional workstreams in a matrixed environment
Experience with IT program delivery, including leading clarity and stakeholder buy\-in leading to successful implementation.
Strong knowledge of software delivery methodologies.
Highly self\-motivated.
Excellent written and verbal communication skills.
Excellent problem\-solving skills.
Able to work effectively in a team environment with little or no supervision.
Demonstrated strong leadership skills.
Ability to learn and apply technology solutions for business processes quickly.
About PACCAR
PACCAR, Inc. is a Fortune 500 company established in 1905 and is recognized as a global leader in the commercial vehicle, financial, and customer service fields. PACCAR is a global technology leader in the design, manufacture, and customer support of high\-quality light\-, medium\- and heavy\-duty trucks under its internationally recognized brands Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and provides customized financial services, information technology and truck parts related to its principal business.
Your next career move is waiting at PACCAR whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services. Join the PACCAR team today!
Division Information
PACCAR’s Information Technology Division (ITD), located in Renton, WA utilizes cutting\-edge technology to provide systems development, consulting, voice and data communications services to the entire Corporation, which has high visibility in the technology sector.
PACCAR Benefits
As a U.S. PACCAR employee, you have a full range of benefit options including:
401k with up to a 5% company match
Fully funded pension plan that provides monthly benefits after retirement
Comprehensive paid time off – minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time
Tuition reimbursement for continued education
Medical, dental, and vision plans for you and your family
Flexible spending accounts (FSA) and health savings account (HSA)
Paid short\-and long\-term disability programs
Life and accidental death and dismemberment insurance
EAP services including wellness plans, estate planning, financial counseling and more
Additional Job Board Information
PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. Applicants and employees for this position will not be sponsored for work authorization, including, but not limited to H\-1B visas, now or in the future. The salary range for the AI Product Manager is $100,100 \- $156,600 annually. Additionally, this role is eligible for a full range of benefit options listed above. This position is also eligible for a holiday gift.
Nearest Major Market: Seattle
Nearest Secondary Market: Bellevue
Job Segment: Testing, Product Manager, Computer Science, Consulting, Marketing, Technology, Operations
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Salary Context
This $100K-$156K range is in the lower quartile for AI Product Manager roles in our dataset (median: $188K across 140 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 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At PACCAR, 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 $216,175 based on 270 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($128K) sits 41% below the category median. Disclosed range: $100K to $156K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
PACCAR AI Hiring
PACCAR has 1 open AI role right now. They're hiring across AI Product Manager. Based in Renton, WA, US. Compensation range: $156K - $156K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 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 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 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 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). 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 (102) are outnumbered by mid-level (1,705) and senior (1,469) 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 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 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 $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. 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 $300,000 median, while Prompt Engineer roles sit at $140,000. 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 (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 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
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