Engineering Manager, Search & Context Platform

Engineering Manager, Context (Agentic Search)

Notion

WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE We’re hiring an Engineering Manager to lead Context: the team responsible for the systems and product primitives that give notion’s users and notion agents access to all the relevant context for the task at hand. This includes classic search ranking algorithms and surfaces, but also agentic trajectories with carefully crafted tool calls. You’ll lead a team that focuses on two types of work: reliability of the current context systems and unlocking new contextual capabilities. * We must have a production-grade search product (stability, extensibility, latency, cost). We must ensure search—still a core navigational endpoint—can reliably serve our 100M+ customers. * At the same time, the “agent layer” (how agents interact with search) now accounts for the majority of AI-enabled search traffic (50%+), and is where we expect the fastest iteration and biggest user-facing gains. WHAT YOU'LL ACHIEVE * Build and lead a high-performing team responsible for context, memories, and ranking that power agent workflows across Notion. * Drive a roadmap that improves the end-to-end reliability of agents acquiring context across Notion + connectors. * Raise the bar on context quality through evaluation + experimentation, and ship improvements that move core user metrics. * Balance foundational platform work (latency, cost, stability) with rapid iteration on new agentic capabilities. * Partner deeply across AI, product, infra, and partner ecosystems to unblock delivery and set clear ownership boundaries. WHAT YOU’LL OWN * Direction and execution for Context as both a product and a platform. * Agentic retrieval approaches that treat “finding” as a sequence of actions (tool use, query generation, iterative retrieval), not a single ranked list. * A durable measurement loop: evaluation frameworks, instrumentation, and experimentation practices to improve functional correctness and user-perceived usefulness. * Team health and talent: hiring, coaching, feedback, growth, and performance management. SKILLS YOU'LL NEED TO BRING * Experience leading engineering teams working on search/retrieval/relevance, AI product, or adjacent platform problems. * Experience building agentic or tool-using systems * Strong product + systems judgment in ambiguous environments; can make crisp tradeoffs and keep execution moving. * Comfort owning a roadmap that requires heavy cross-team coordination and stakeholder alignment. * Sufficient technical depth in modern retrieval (lexical + semantic, embeddings, reranking) and where LLMs fit (query generation, tool orchestration, evidence selection). * Track record building collaborative, supportive, and high-expectation team cultures. * High tolerance for ambiguity and change; enjoys learning quickly and adapting plans. BONUS POINTS * Experience with multi-source retrieval and permissioned enterprise data. * Experience establishing eval frameworks for AI/agent outcomes. * Experience with classic information retrieval metrics and machine learning techniques. * Has led teams through rapid scope changes and evolving org boundaries. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $280,000 - $330,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Product Manager, Relevance and 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

PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems)

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. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.  You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you’ll do: * Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI. * Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems. * Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work. * Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards. * Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation. * Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems * Write clean, efficient, and sustainable code * Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we’re looking for: * This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.  * Ability to legally work full time (40 hours/week) from September-December 2026 * Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field * Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow) * Proficiency with AI-native engineering, including the design of agent-friendly codebases. * High degree of autonomy in learning new agent-first development tools. * Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. * Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints. * Experience in research and in solving analytical problems * Strong communicator and team player. Being able to find solutions for open-ended problems. Preferred Qualifications: * * Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields * Strong passion for research and for answering hard questions with research * Passion for applied ML and the Pinterest product Why Intern at Pinterest? * Meaningful Work: Contribute to projects that impact millions of users worldwide. * Mentorship: Learn from and be guided by experienced engineers and researchers in the field. * Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection * This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. 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. 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 The salary for this position is $12,100 monthly.   #LI-HYBRID #LI-EB1 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.