Staff Product Manager, AI/ML Personalization

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. 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. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $232,000—$282,000 USD

Databricks

RDQ427R276 Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production. The impact you will have: * You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production. * You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale. * You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems. * You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI. * You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. * You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture. * You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them. What we look for: * 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services. * Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers. * Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus. * Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $181,700—$249,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Each month, the Growth organization helps over 600M people around the world come back to Pinterest, discover new inspiration, and go deeper on the ideas they love. Connections is a key area within Growth focused on how people connect with others they care about on Pinterest — from close friends and family to trusted communities that share their interests. The Connections team builds products that make those relationships feel natural, safe, and uniquely “Pinterest.”   As a Staff Product Manager for Connections, one of our most important retention and engagement drivers, you’ll serve as a product lead for how Pinners connect with people they know and with communities they trust, and how those relationships show up across the product — including discovery, collaboration, messaging, and notifications.   You’ll report to the Sr. Director, Product Management (Growth) and work with a team of PMs across the Pinterest stack, from foundational identity and the systems that power relationships between people and content, to social-forward new experiences that feel native to Pinterest. This is a senior individual contributor role, focused on leading the Connections area through product vision, strategy, and cross-functional leadership. What you’ll do: * Support the end‑to‑end Connections strategy and roadmap, leading core experiences and systems that help Pinners connect with people and communities they trust, and translating that into measurable product impact. * Shape how social shows up on Pinterest by making connection experiences feel distinctly “Pinterest”: safe, personal, low‑pressure, and grounded in shared interests. * Create cohesive cross‑surface experiences by partnering with other Core product teams, so our connection features are consistent, useful, and help Pinners stay in the loop without feeling overwhelmed. * Drive alignment across a broad product area by bringing together senior leaders and cross‑functional partners (Engineering, Data Science, Design, Product Marketing, Policy, Research, and others) around a clear strategy, success measures, and execution plan for Connections, and by enabling teams to build on shared components and patterns. * Provide product leadership and mentorship across the Connections PM group, helping PMs sharpen strategy, execution, and product craft, and fostering a culture of experimentation and accountability to impact. * Champion safety, wellbeing, and trust by partnering with Policy, Trust & Safety, and Wellbeing to ensure connection experiences uphold Pinterest’s values, and by supporting guardrails and controls that let Pinners connect on their own terms and manage how they’re discovered, contacted, and notified. * Make Connections insight‑driven by defining how you’ll assess the health and impact of connection experiences with Data Science, and using quantitative and qualitative insights to guide prioritization, refine the roadmap, and communicate progress. * Represent Connections across Pinterest by serving as a senior product leader and key point of contact for the area, aligning the roadmap with company priorities, articulating the role of connections in Pinner value and business outcomes, and ensuring the work is understood and leveraged across adjacent teams. What we’re looking for: * Demonstrated track record of driving engagement and growth, leading high‑impact product work that improved user engagement and long‑term use, and clearly articulating your role in the strategy, metrics, and execution. * Experience setting roadmaps, and building healthy, high‑performing teams in ambiguous spaces. * AI forward experience with agentic tools to inform product strategy, roadmap, communication, and prototyping. * Strength in horizontal leadership and alignment, bringing together multiple product surfaces, infrastructure teams, and senior stakeholders around a shared plan, and making thoughtful tradeoffs and sequencing decisions. * Technical and analytical depth, including comfort with concepts like: recommendations, social graphs, messaging, large‑scale experimentation, and the ability to dive into data independently, and use insights to reshape the roadmap. * Communication and storytelling skills, with the ability to frame a clear narrative about Pinterest’s role in helping people feel connected, communicate complex ideas to diverse audiences, and generate buy‑in from executives, peers, and cross-functional partners. * A user‑centric, empathetic approach to building products, especially in emotionally sensitive spaces like relationships, community, and belonging, and a track record of turning research and qualitative insights into thoughtful, differentiated product experiences. * Nice to have: Experience with safety, integrity, or wellbeing in social products; experience building or evolving cross‑platform “social primitives” (e.g., follows, friends, groups, messaging, recommendations/ML); and a background in or passion for commerce and creator ecosystems. * Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.     In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-REX At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695—$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.