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AI Product Manager United States • Los Angeles, CA • San Francisco, CA • United States | Remote Product Management Remote • Hybrid Full-time <h2>About the Role</h2> We’re looking for a forward-thinking AI Product Manager to help us build the future of Linktree—one where AI doesn’t just support the experience, it is the experience. Linktree has always been about helping people express who they are and drive value from their audience. But we believe that in an AI-first world, the best version of Linktree builds itself. From onboarding to optimization, your job will be to make the entire experience smarter, faster, and more helpful—without the user needing to lift a finger. You’ll work closely with design, engineering, data science, and marketing to reimagine how creators, businesses, and brands get value from their Linktree—from day one and every day after. <h3> </h3> <h2>What You’ll Own</h2> <ul> <li> AI-First Onboarding: Lead the development of a “Generated Linktree” experience that uses public signals (e.g. links, bios, content, brand assets) to automatically generate an optimized Linktree tailored to a user’s goals. </li> <li> Automated Upkeep: Drive the roadmap for keeping Linktrees fresh—auto-updating with new content, broken link detection, changing priorities, or seasonal campaigns—without manual input. </li> <li> Insights to Action: Partner with growth and AI teams to translate analytics and behavioral data into smart suggestions, recommendations and automations that help users grow their audience or revenue. </li> <li> Internal Tooling: Identify AI opportunities to streamline internal workflows for content curation, support, or partner success. </li> <li> AI UX Patterns: Collaborate with design and research to shape the AI UX across surfaces: from in-product copilots to proactive nudges to fully autonomous agents. </li> <li> Privacy and Trust: Ensure the AI features you ship are safe, ethical, and clearly communicate how data is used. </li> </ul> <h2>Who We’re Looking For</h2> <ul> <li>4 years of product management experience, with 1-2 years focus on shipping AI-powered features or products.</li> <li>Shipped AI-powered products or features—whether LLM-based tools, recommendation engines, or intelligent automation.</li> <li>Think deeply about user intent and edge cases, and you know when to abstract complexity vs. expose it.</li> <li>Comfortable in ambiguity and enjoy building</li> <li> v0 to v1.</li> <li>Can work fluidly across go-to-market and platform teams, and can bridge user needs with technical capabilities.</li> <li>Passionate about helping creators and entrepreneurs succeed.</li> </ul> <h3>Bonus If You</h3> <ul> <li>Have experience with LLMs, agents, or prompt engineering.</li> <li>Have worked on AI copilots or assistant-like interfaces.</li> <li>Have product experience in low-code/no-code platforms, web tools, or marketing tech.</li> </ul> Linktree is committed to providing a competitive compensation package. Our cash compensation amount for this role is targeted at $180,000-$190,000 in the San Francisco Bay or Los Angeles area. Final offer amounts are determined by multiple factors including candidate expertise, the scope of role and level, and may vary from the amounts listed above. P.S. If you don’t tick every box in this ad, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button! <h2>Our Story</h2> We’re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the “link in bio” category — and we’re just getting started. From creators, artists, and entrepreneurs to global brands, we’re redefining how people connect with their communities, showcase their content and promote products — all in one link. Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space. We’ve teamed up with some of the world’s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers’ digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love. We’re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we’d love to meet you. <h2>Where and How We Work</h2> We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home. We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome. <h2> </h2> <h2>How we’ll help you thrive</h2> Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you: <ul> <li>An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!</li> <li>100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.</li> <li>Employer contribution towards your retirement.</li> <li>Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.</li> <li>Employee stock option program - we want each and every employee to share in the company’s success.</li> </ul> At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at <a href="mailto:talent@linktr.ee" target="_blank">talent@linktr.ee</a> – your needs are important to us. Ready to apply? Powered by <a href="https://www.gem.com" target="_blank"></a> First name * Last name * Email * LinkedIn URL Location * Resume * Click to upload or drag and drop here Preferred Name * Will you now or in the future require sponsorship from Linktree to work in the country this role is posted? * Yes No Are you open to working out of our LA or Bay Area office approx. 3x/week? * Which of the following AI technologies have you worked with in a product capacity? * Have you shipped an AI-powered feature or product? * Yes No If yes can you share more about the AI-powered feature or products you've shipped? * Voluntary Self-Identification To comply with government reporting requirements, we invite candidates to participate in the self-identification survey below. Your completion of this form is entirely optional, and your decision will neither influence the hiring process nor any subsequent stages. Any information you choose to share will be kept confidential and stored in a secure file. As outlined in our Equal Employment Opportunity policy, we uphold a commitment to non-discrimination based on any protected group status specified in applicable laws. Gender Race Race and ethnicity descriptions PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. By applying you agree to Gem's <a href="https://www.gem.com/compliance/terms" target="_blank">terms</a> and <a href="https://www.gem.com/compliance/privacy" target="_blank">privacy policy</a>. Save your info to apply to other roles faster &amp; help employers reach you. Req ID: R2170

Linktree

AI Product Manager

<a href="https://www.snap.com/en-US/" target="_blank">Snap Inc</a> is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are <a href="https://www.snapchat.com/" target="_blank">Snapchat</a>, a visual messaging app that enhances your relationships with friends, family, and the world; <a href="https://ar.snap.com/lens-studio" target="_blank">Lens Studio</a>, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, <a href="https://www.spectacles.com/" target="_blank">Spectacles</a>.The Finance Systems and Transformation Team works with Accounting, Finance Business Partnership, Finance Operations, Financial Systems, Internal Audit, Investor Relations, Tax, and Treasury teams. Together, the team partners with leadership to build automations, provide reporting and streamline operations. We’re looking for a Business Intelligence Engineer on our Finance Systems and Transformation Team. Working from Santa Monica, CA, Palo Alto, CA or Phoenix, AZ you’ll collaborate with our Fintech team and teams across the Finance organization to help build out the Financial Data warehouse and build reports to support automation and growth needs. What you’ll do:<ul> <li>Work closely with stakeholders in Engineering, Finance, Operations and other teams to design, implement and support key datasets that provide timely access to key business metrics.</li> <li>Partner with non-technical customers to capture business needs and condense them into technical requirements for metrics or analytics based projects. </li> <li>Deliver projects/data-pipelines that allow non-technical end-customers to self-serve.</li> <li>Orchestrate ETL Pipelines using Airflow and a combination of BigQuery and Spark</li> <li>Deliver performant reporting datasets consumed through our visualization portals.</li> <li>Build reporting tools to facilitate consumption consistency across teams</li> </ul>Knowledge, Skills &amp; Abilities:<ul> <li>Experience in building data pipelines to serve reporting needs.</li> <li>Experience owning all or part of a team roadmap.</li> <li>Experience with data visualization tools like Looker and Tableau.</li> <li>Ability to prioritize requests from multiple stakeholders in disparate domains.</li> <li>Ability to effectively communicate complex projects to non-technical stakeholders. </li> </ul>Minimum Qualifications: <ul> <li>BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field.</li> <li>3+ year experience in SQL or similar languages.</li> <li>3+ years development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc), Python preferred.</li> </ul>Preferred Qualifications:<ul> <li>Hands-on experience with Google BigQuery.</li> <li>Experience using and sharing notebook solutions like Jupyter.</li> <li>Experience in version control systems such as Git.</li> <li>Data architecture and warehousing experience.</li> <li>Experience with Airflow.</li> <li>Experience in ETL / Data application development.</li> <li>Knowledge of Oracle Fusion data structures a plus</li> </ul>If you have a disability or special need that requires accommodation, please don’t be shy and provide us some <a href="https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform" target="_blank">information</a>."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.<a href="http://careers.snap.com/benefits" target="_blank">Our Benefits</a>: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.<a href="https://careers.snap.com/us-payzones" target="_blank">Zone A (CA, WA, NYC)</a>:The base salary range for this position is $130,000-$196,000 annually. <a href="https://careers.snap.com/us-payzones" target="_blank">Zone B</a>: The base salary range for this position is $124,000-$186,000 annually.<a href="https://careers.snap.com/us-payzones" target="_blank">Zone C</a>:The base salary range for this position is $111,000-$167,000 annually.This position is eligible for equity in the form of RSUs.

Snap

Business Intelligence Engineer, Level 4

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. The Responsible AI team is part ofthe Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable <a href="https://newsroom.pinterest.com/en/post/pinterest-expands-the-skin-tone-range-feature-to-more-countries" target="_blank">skin tone</a>, <a href="https://newsroom.pinterest.com/en-gb/post/pinterest-introduces-first-of-its-kind-hair-pattern-search-for-inclusive-beauty-results" target="_blank">hair pattern</a> search refinements, and more recently, <a href="https://newsroom.pinterest.com/news/pinterests-new-body-type-ranges-deliver-better-more-inclusive-search-results/" target="_blank">body type</a>. We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: <ul> <li>Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. </li> <li>Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.</li> <li>Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.</li> <li>Work with the team and senior leaders at the company to define and drive technical strategy in this area.</li> </ul> What we're looking for: <ul> <li>Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.</li> <li>Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems.</li> <li>Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.</li> <li>5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products</li> <li>2+ years experience leading cross-team engineering efforts.</li> <li>Masters or PhD in Comp Sci or related fields</li> <li> Desired skills: <ul> <li>Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences.</li> <li>Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows.</li> <li>Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.</li> </ul> </li> </ul> Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" target="_blank">PinFlex</a> page to learn more about our working model.</li> </ul> In-Office Requirement Statement: <ul> <li>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.</li> </ul> #LI-SA1 #LI-REMOTE 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 <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $208,145—$364,254 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 <a href="https://forms.gle/sS24D4WboEKUZMQK6" target="_blank">this form</a> for support.

Pinterest

Staff Machine Learning Engineer - Responsible AI

<h2> This is Data Science at Lattice </h2> As a Data Engineer on our Data Science team, you will play a pivotal role in designing, building, and optimizing our data infrastructure to support data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions that meet business needs. Your responsibilities will include writing production-level data transformations, managing ETL processes, and ensuring the performance and reliability of our data warehouse. With your expertise in SQL, Python, and data orchestration tools like Airflow, you will drive best practices and contribute to the velocity of our team and the continuous improvement of our tech stack. <h2>What You Will Do</h2> <ul> <li>Write production-level data transformations to support stakeholders across data and business intelligence applications</li> <li>Create documentation and testing to ensure that our data is accurate and easily understandable</li> <li>Maintain and optimize performance of our data warehouse by designing efficient tables and storage processes</li> <li>Share methodologies and instruct other data team members on how to best write data transformations</li> <li>Collaborate with cross-functional teams to support data-driven initiatives and projects.</li> <li>Discover and institute best practices to ensure data quality across all facets of the data team</li> <li>Research and implement new tooling to enhance our tech stack</li> <li>Manage our ETL and other orchestrated processes through third party tools and first-party tools such as Airflow</li> <li>Enforce code quality by identifying and reducing tech debt, standardizing styles, and removing deprecated objects from code and downstream locations</li> <li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Fluency in SQL and dbt </li> <li>Proficiency in Python</li> <li>Experience with git and cloud platforms (e.g. AWS)</li> <li>Knowledge of data orchestration tools like Airflow, Prefect, or Dagster</li> <li>Excellent communication and collaboration skills</li> <li>High attention to detail and ability to think structurally about a solution </li> <li>Experience with a BI Tool (preferably Looker)</li> </ul> The estimated annual cash salary for this role is $123,000 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

4 Data Science Jobs in Mountain View, CA, USA