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About This Role
Summary
The Opportunity
Hyatt seeks a motivated and results-driven Senior Data and AI Product Manager who is passionate about data and AI to help us build and scale the next generation of enterprise data, analytics and AI-powered products. The Product Manager is responsible for defining product vision(s) and guiding the creation of world-class products, democratizing access, accelerating algorithmically powered processes, and fostering data-driven decision making across complex business domains.
The Product Manager will partner closely with business leaders and technical teams to deliver trusted, governed, and auditable data agents and enterprise search products that make trusted enterprise knowledge easy to find, understand, and use; democratizing access, reducing time spent searching across fragmented systems and knowledge base, and improving colleague productivity and operational consistency across complex business domains, across Hyatt's global enterprise. This role will own the Data Agents and Enterprise Search product portfolio, driving a distinct roadmap for user journeys, data-sources, relevance and answer quality, adoption, and measurable business outcomes. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests.
Who We Are
At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues.
As we continue to grow, we never lose sight of what’s most important: People. We turn trips into journeys, encounters into experiences, and jobs into careers.
Why Now?
This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception.
How We Care for Our People
What sets us apart is our purpose—to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We’re proud to have earned a place on Fortune’s prestigious 100 Best Companies to Work For® list since 2013. This recognition is a testament to the tremendous way our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy, and respect, and making sure everyone feels like they belong.
We’re proud to offer exceptional corporate benefits which include:
- Annual allotment of free hotel stays at Hyatt hotels globally
- Flexible work schedule
- Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
- A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
- Paid Time Off, Medical, Dental, Vision, 401K with company match
Who You Are
As our ideal candidate, you understand the power and purpose of our culture of care, and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect, and Wellbeing. You enjoy working with others, are results-driven, and are looking for a variety of opportunities to develop personally and professionally.
The Role
In this role, you'll define and guide the development of business-critical, scalable, and robust enterprise data and AI products that help colleagues discover trusted data and information and complete work faster. This position will guide product research, facilitate product strategies, define user journeys and search experiences, prioritize data and data-source onboarding, and guide Hyatt's agile development and product roll-out processes. You will be part of a global data and AI community and will work in cross-functional and agile project teams alongside business stakeholders, Data Engineers, Data Stewards, Data Scientists, Machine Learning Engineers, Application teams, UX Designers and Researchers, Governance partners, and executives to deliver highly trusted products used globally.
Responsibilities
- Drive the vision, roadmap, and direction for Hyatt’s Data and AI Products aligned with Hyatt’s business priorities
- Lead product discovery, planning, scoping, and prioritization to deliver high-impact outcomes for corporate and on-property colleagues
- Develop a deep understanding of colleague personas, search behaviors, information needs, and end-to-end user journeys through research, usage data, and continuous feedback
- Gather requirements, determine features and their priority, write product specs, refine feedback, help write test plans, manage backlog, and ship products quickly
- Define and prioritize the data-source onboarding roadmap based on user value, source readiness, ownership, governance, access requirements, and expected impact
- Ensure data quality, definition, monitoring, alerts, and recourse is built into roadmap plans and engineering requirements of each data and AI initiative/product
- Ensure new product and AI requirements follow Hyatt policies, security and privacy standards, role-based access controls, responsible AI principles, and corresponding contracts before being passed to developers
- Define and ensure products meet business SLAs
- Gain an intimate understanding of the current methods of building and delivering data and AI pipelines into Hyatt’s data and AI Platforms and define how this should work in the future
- Represent the team with partners and senior company leaders to align resources and prioritization
- Promote enterprise-wide adoption of data and AI Products
- Educate teams on data and AI Products and use cases
- Demonstrate a commitment to Hyatt core values
Qualifications
Qualifications
Strong background and knowledge in production ready data and AI product lifecycle development on modern cloud data platforms will be important to this role.
- The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
- A bachelor’s degree in a quantitative or technical discipline, or equivalent work experience
- Preferred: master’s degree in business (MBA), Computer Science, Engineering Management, or related field
- 5+ years of hands-on experience in guiding the strategy and lifecycle of data and AI products and its underlying data to ensure it collectively achieves business objectives, leveraging or managing data and AI products to drive business value with a proven track record of success
- 3+ years of product experience with search, knowledge management, content discovery, retrieval-augmented generation (RAG), conversational AI, or related products
- Demonstrated understanding of search and retrieval concepts, including user intent, relevance and ranking, metadata and taxonomy, content quality, source attribution, access controls, and feedback loops
- Experience using qualitative and quantitative research and product analytics to improve search success, answer quality, zero-result rates, click-through and adoption
- Proven ability to navigate difficult situations with competing stakeholder needs and across multiple audiences, including individual contributors, managers, and executives
- Excellent organization, communication, and presentation and stakeholder-management skills
- Knowledge of modern data and AI Infrastructure and related processes, including basic cloud knowledge such as Snowflake, AWS, GCP, or similar platforms
- 2+ years of hands of SQL development skills and experience
- Working knowledge of agile methodologies and SCRUM
The position responsibilities outlined above are in no way to be construed as all-encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
We welcome you:
Research shows that individuals tend to apply to jobs only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We’d love to consider your unique experiences and how you could make Hyatt even better.
The salary range for this position is $133,200 - $173,000
The final pay rate/salary offered to the successful candidate will depend on experience, skill level and other qualifications for the role, as well as the location of the performance of work. Pay for the successful candidate will meet local requirements, including the local minimum wage rate.
We value our relationships with recruitment partners and require that agencies contact us first before submitting any candidates. Hyatt will not be responsible for any fees and obligations associated with unsolicited submissions unless a formal agreement is in place.
Salary Context
This $133K-$173K range is in the lower quartile for AI Product Manager roles in our dataset (median: $194K across 123 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 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Hyatt, 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 947 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $229,300. This role's midpoint ($153K) sits 30% below the category median. Disclosed range: $133K to $173K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Hyatt AI Hiring
Hyatt has 1 open AI role right now. They're hiring across AI Product Manager. Based in Chicago, IL, US. Compensation range: $173K - $173K.
Location Context
AI roles in Chicago pay a median of $193,440 across 429 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 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 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 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). 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 (106) are outnumbered by mid-level (4,384) and senior (3,343) 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 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 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 $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. 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 $256,000 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 (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 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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