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Product Manager Personalization Jobs (NOW HIRING)

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Product Manager Personalization information

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$51.5K

$159.4K

$197K

How much do product manager personalization jobs pay per year?

As of May 29, 2026, the average yearly pay for product manager personalization in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Manager Personalization, and why are they important?

To thrive as a Product Manager Personalization, you need a strong background in product management, data analysis, and user experience design, often supported by a degree in business, computer science, or a related field. Familiarity with A/B testing platforms, analytics tools like Google Analytics or Mixpanel, and personalization engines is typically required. Exceptional communication, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovative solutions. These abilities are crucial for delivering personalized experiences that increase user engagement and achieve business goals.

How does a Product Manager Personalization typically collaborate with data scientists and engineers to deliver personalized experiences?

As a Product Manager Personalization, you'll work closely with both data scientists and engineers throughout the product development lifecycle. You'll define personalization goals, prioritize features, and translate customer insights into actionable requirements. Regular meetings with data scientists help you understand model capabilities and limitations, while collaboration with engineers ensures technical feasibility and smooth implementation. Open communication and cross-functional teamwork are key to iterating quickly and delivering impactful personalized experiences for users.

What does a Product Manager for Personalization do?

A Product Manager for Personalization is responsible for developing and optimizing products or features that deliver personalized experiences to users. They analyze user data and behavior to identify opportunities for customization, work closely with engineering and design teams to implement personalization strategies, and ensure these features align with business goals. Their role often involves prioritizing product enhancements, measuring the impact of personalization efforts, and staying updated on industry best practices. Ultimately, they aim to increase user engagement and satisfaction by making products more relevant to individual users.

What is the difference between Product Manager Personalization vs Product Manager Data Analytics?

AspectProduct Manager PersonalizationProduct Manager Data Analytics
Required SkillsUser segmentation, A/B testing, UX designData analysis, SQL, statistical methods
Work EnvironmentCross-functional teams focusing on user experienceData-driven decision making, analytics teams
Industry UsageTech, e-commerce, mediaFinance, tech, marketing

Product Manager Personalization and Product Manager Data Analytics both focus on data-driven product improvements. Personalization emphasizes tailoring user experiences through segmentation and testing, while Data Analytics centers on analyzing data to inform product decisions. Both roles require analytical skills but differ in their primary focus and methods.

More about Product Manager Personalization jobs
What cities are hiring for Product Manager Personalization jobs? Cities with the most Product Manager Personalization job openings:
What states have the most Product Manager Personalization jobs? States with the most job openings for Product Manager Personalization jobs include:
Infographic showing various Product Manager Personalization job openings in the United States as of May 2026, with employment types broken down into 6% Full Time, 83% Part Time, and 11% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Manager, Relevance and Personalization

Product Manager, Relevance and Personalization

Airbnb

San Francisco, CA

Other

Posted 21 days ago


Airbnb rating

5.8

Company rating: 5.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

16th of 20 rated holiday rentals


Job description

The Community You Will Join:

The Relevance & Personalization (R&P) team is Airbnb's matching intelligence engine - a talented team of ML engineers, applied researchers, and technical program managers who connect guests to the right listings across every surface and help hosts compete and thrive in our marketplace. We work at the intersection of search ranking, recommendations, personalization, and generative AI, and we're building toward a future where Airbnb feels less like a search engine and more like a knowledgeable travel companion that understands your needs across your entire trip journey.

The Difference You Will Make:

As Product Manager for Relevance & Personalization, you will help set the strategy and drive execution for some of Airbnb's highest-leverage AI systems. You'll own the roadmap and shape how personalization works across the guest journey, and help define how we close the feedback loop for hosts. You'll partner with engineers, researchers, designers, and cross-functional teams to ship systems that directly drive bookings, guest satisfaction, and host success - at global scale.

A Typical Day: 

  • Define and drive the roadmap for Airbnb's relevance and personalization platform - from natural language query understanding to multi-turn, context-aware discovery experiences
  • Make prioritization calls that balance multiple competing objectives: guest experience, host success, revenue, fairness, and marketplace health
  • Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design
  • Align cross-functional partners - Guest, Host, MarTech, Trust & Safety, Customer Support - on shared goals and sequencing
  • Drive the Tripcycle vision: ensuring R&P's intelligence layer connects across the full trip lifecycle, from inspiration through post-trip
  • Design and oversee A/B experiments with rigorous metric design and long-term effect measurement
  • Translate complex technical tradeoffs into clear decisions for engineering teams and concise narratives for leadership
  • Foster an environment where engineers and product managers collaborate on building the future
  • Stay close to guests and hosts: synthesize user research, marketplace data, and competitive signals to sharpen your intuition and refine strategy

Your Expertise:

  • 10+ years of product management experience, with at least 3 years on ML, search, recommendations, or AI-powered products at scale
  • Track record of owning strategy and roadmap for technically complex systems - not just managing features, but setting direction and making hard prioritization calls
  • Strong experimentation fluency: comfortable designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics vs. long-term outcomes
  • Experience working on two-sided marketplaces or platforms where you balanced supply-side and demand-side tradeoffs
  • Ability to earn the respect of Staff and Principal-level engineers and researchers - you don't need to write code, but you need to engage at a level that builds credibility
  • Clear, structured communicator who can distill complex technical tradeoffs for executives and translate strategic intent into actionable guidance for engineers
  • Experience with LLM-based products in production - ideally involving evaluation challenges, latency constraints, or safety and guardrail work (preferred)
  • Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks in a product context (preferred)
  • Background working alongside applied researchers or with teams that publish externally (preferred)

Your Location:

Due to the nature of this position, the successful applicant will need to be based in San Francisco, CA to be able to conduct their work. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware And Rhode Island. This list is continuously being updated, please check back with us if the state you live in is on the exclusion list.  If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. 

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.