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About This Role
Driven to be the Best
People. Performance. Purpose.
At Avis Budget Group, we’re driven to be the best vehicle rental company in the world, together. Our 25,000 employees raise the bar every day, bringing different perspectives, taking ownership, and leading with integrity. We’re defining the future of mobility with safe, sustainable solutions that move people, businesses, and communities forward.
Our Contact Center AI & Self-Service team is redefining how customers get help from our brands. We are focused on using conversational AI, intelligent knowledge tools, and automation to improve customer experience, reduce friction, and reduce demand on live agents overall. To expedite these plans, we're looking for a Product Manager to help drive our self-service and AI product roadmap forward, reporting to the Director, AI and Innovation for Contact Center.
What You'll Do:
- Own the product roadmap for one or more areas within our AI & self-service ecosystem, including: (1) conversational AI across chat, voice, email, and web; (2) our Knowledge Base (content, governance, and retrieval); (3) AI intelligence tools such as Contact Lens, AWS speech-to-text technologies, and conversation analytics; and AI-driven channel revenue opportunities (e.g., upsell via chat)
- Define requirements and success metrics for AI-driven self-service experiences, with a focus on reducing live-agent demand while maintaining or improving customer satisfaction. Document epics and stories in JIRA for engineering teams to develop against.
- Partner closely with engineering, data science, content/knowledge teams, and contact center operations teams to plan, build, and launch new capabilities
- Use conversation analytics and other data sources to identify friction points, containment opportunities, and areas for AI model or content improvement
- Manage the Knowledge Base roadmap, including governance processes and retrieval quality, to ensure agents and AI systems have accurate, up-to-date information
- Evaluate and help prioritize AI-channel revenue opportunities, such as upsell/cross-sell via chat, voice, and other self-service channels
- Work with the Director & Vice President of CX to measure clear KPIs and OKRs in partnership with cross-functional teams and stakeholders to measure success and track progress
- Report on roadmap progress, key metrics (e.g., containment rate, deflection, CSAT, revenue impact), and outcomes to leadership
Perks You’ll Get:
- Access to Medical, Dental, Vision, Life and Disability insurance
- Eligible to elect other voluntary benefits including: Group Auto Insurance, Group Home Insurance, Pet Insurance, Legal Assistance, Identity Theft Protection, FSA, Accident Insurance, Critical Illness Insurance, and additional life insurance coverages
- 401(k) Retirement Plan with company matched contributions
- Full training to learn the business and enhance professional skills
- Employee discounts, including discounted prices on the purchase of Avis/Budget cars
- Access to an Employee Assistance Program for services including counseling, financial and legal consultation, referrals for care service and more
What We're Looking For:
- 3+ years of product management experience, ideally with conversational AI, self-service, knowledge management, or contact center technology
- Comfortable working with technical and data science teams; able to translate AI/ML capabilities into practical product features
- Experience defining and tracking KPIs such as containment/deflection rate, CSAT, and revenue per interaction
- Strong stakeholder management skills across engineering, operations, and content/knowledge teams
- Analytical mindset with experience using conversation analytics or similar data to inform product decisions
- A bias toward action: able to move from ambiguous problems to a clear roadmap with minimal guidance
- Excellent written and verbal communication skills, including presenting to senior leadership
- Curiosity about emerging AI technologies and their application to self-service and demand reduction
- Proficient with product and collaboration tools such as JIRA and Confluence for roadmap tracking, backlog management, and documentation
The annual starting salary for this position is between $135,000 – $165,000 annually. Factors that may affect starting pay within this range include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Who We Are:
Here at Avis Budget Group, you will be joining a team of 25,000 driven people, performing with purpose. Together, we’re moving the future of transportation forward with our innovative, customer-focused solutions.
Our culture is performance driven, where we encourage and support each other to be at our best through leadership, training, tools, and rewards.
We are proud to make a positive difference to the lives of our colleagues, customers, and communities where we operate.
Avis Budget Group is an Equal Opportunity Employer – Qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other category protected by applicable law.
This advertisement does not constitute a promise or guarantee of employment. This advertisement describes the general nature and level of this position only. Essential functions and responsibilities may change as business needs require. 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. This position may be with any affiliate of Avis Budget Group.
Parsippany New Jersey United States of America
Salary Context
This $135K-$165K 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 Avis Budget Group, 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 $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 ($150K) sits 32% below the category median. Disclosed range: $135K to $165K.
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.
Avis Budget Group AI Hiring
Avis Budget Group has 1 open AI role right now. They're hiring across AI Product Manager. Based in Parsippany-Troy Hills, NJ, US. Compensation range: $165K - $165K.
Location Context
Across all AI roles, 6% (568 positions) offer remote work, while 9,010 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,413 roles, $264,500 median); Los Angeles (1,340 roles, $210,000 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 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
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