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About This Role
At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE.
Position Overview:
As the AI Product Manager for Knowledge and Retrieval Systems, you will define the vision, strategy, and roadmap for how Polaris captures, organizes, retrieves, and delivers enterprise knowledge through AI\-powered solutions. You will lead Retrieval\-Augmented Generation (RAG) and knowledge\-retrieval initiatives that support a variety of business functions. You will partner cross\-functionally with business leaders, IT teams, and external vendors to deliver accurate, trusted, and scalable knowledge experiences. This role offers the opportunity to shape enterprise AI capabilities that improve knowledge access, employee productivity, service effectiveness, and customer outcomes across Polaris.
Key Responsibilities:
- Own the product vision, strategy, and roadmap for enterprise knowledge retrieval and AI\-powered service experiences.
- Lead the strategy for RAG platforms, knowledge repositories, semantic search, vector databases, knowledge graphs, and AI\-powered knowledge delivery.
- Partner with business leaders to identify, prioritize, and deliver AI retrieval use cases that improve productivity, service quality, and customer experiences.
- Define strategies for ingesting, chunking, contextualizing, and governing enterprise content to ensure AI systems retrieve accurate, trusted, and current information.
- Collaborate with AI Engineering, Data and Analytics, software engineering, and vendor teams to improve retrieval quality, relevance, grounding, citation accuracy, and user experience.
- Lead the development of AI agents that use enterprise knowledge to support troubleshooting, technical assistance, and information discovery.
- Define and monitor performance measures such as answer quality, query success rates, citation accuracy, user satisfaction, productivity, and service effectiveness.
- Partner with Security, Legal, and Compliance teams to establish governance and controls for enterprise knowledge access and responsible AI use.
- Lead organizational adoption of AI\-assisted knowledge delivery and establish feedback loops with technicians, dealers, support teams, and business stakeholders.
- Evaluate emerging AI search and enterprise AI platform technologies.
- Own and manage the budget for related AI productivity initiatives, including forecasting, spending optimization, and measurement of return on investment.
Desired Competencies:
- Technical / Functional Expertise: You apply the required technical or professional knowledge to perform your role effectively and stay current within your area of expertise.
- Business Acumen: You understand how your work impacts financial performance, operational efficiency, and organizational goals, and you make decisions with the broader business context in mind.
- Collaboration: You work effectively with others across functions and levels, contributing to shared goals while respecting different perspectives.
Qualifications:
- Bachelor’s degree in Technology, Business, or a related field.
- Minimum of 10 years of progressively responsible experience within IT.
- Minimum of 5 years of experience in enterprise technology transformation, digital workplace, or product or program management.
- Minimum of 2 years of hands\-on experience owning and executing Retrieval\-Augmented Generation (RAG) processes in a corporate environment.
- Experience managing AI, search, knowledge management, or data\-centric products throughout the product lifecycle.
- Technical experience with large language models, semantic search, embeddings, vector databases, knowledge graphs, Python, and AI\-powered information retrieval.
- Experience measuring and optimizing AI solution quality through retrieval evaluation, grounding, citation accuracy, and user\-feedback mechanisms.
- Understanding of responsible AI, data governance, security, and compliance requirements within enterprise environments.
- Demonstrated experience establishing product vision and roadmaps, leading cross\-functional initiatives, and delivering measurable business value.
- Experience leading organizational change, driving user adoption, managing stakeholders, and communicating with executive and end\-user audiences.
- Experience owning budgets and developing business cases with measurable return on investment.
- Ability to work in a hybrid/on\-site work environment: three days in the office and two flexible days. In\-office days determined by management.
The starting pay range for Minnesota is $130,000 to $170,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range.
\#LI\-RAO \#HYBRID
To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.
*We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE.**Apply today!*
At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market\-leading profit\-sharing plan that is fundamental to our pay\-for\-performance culture. At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generous matching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym \& personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment.
About Polaris
As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954\. Polaris' high\-quality product line\-up includes the Polaris RANGER®, RZR® and Polaris GENERAL™ side\-by\-side off\-road vehicles; Sportsman® all\-terrain off\-road vehicles; military and commercial off\-road vehicles; snowmobiles; Slingshot® moto\-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry\-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe.
EEO Statement
*Polaris Inc. is an Equal Opportunity Employer and will make all employment\-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at 800\-765\-2747 or* *[email protected]**. To read more about employment discrimination protection under U.S. federal law, see:* *Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)*.
Salary Context
This $130K-$170K 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 Polaris Industries, 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 Required
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 ($150K) sits 31% below the category median. Disclosed range: $130K to $170K.
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.
Polaris Industries AI Hiring
Polaris Industries has 1 open AI role right now. They're hiring across AI Product Manager. Based in Medina, MN, US. Compensation range: $170K - $170K.
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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