Machine Learning Manager, Feed Ecosystems

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. The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack.   What you’ll do:  * Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high-performing environment where the team can deliver end-to-end solutions.  * Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces. * Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high-impact outcomes. * Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem. * Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML-powered systems end to end. * Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.   What we’re looking for: * 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search). * 2+ years of experience as an engineering manager or technical lead. * Bachelors Degree in Computer Science, Statistics, or a related technical field, or equivalent experience. * Nice to have: Meaningful hands-on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains. * Proven technical leadership across both ML and software systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans. * Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders. 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 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area]. #LI-AK7 #LI-HYBRID 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 $189,308—$389,753 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.

ABOUT TEKION: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. KEY ROLES & RESPONSIBILITIES Retail Operations & Product Input * Act as the primary voice of dealer operations within product discussions, bringing deep, credible retail experience to every conversation about platform design and prioritisation. * Serve as a subject matter expert on complex operational domains including sales administration, vehicle stock management, retail accounting integration, and the handoff points between front-of-house and back-office processes. * Partner with Tekion's product leadership to provide structured input into the ARC platform roadmap, ensuring international market nuances — particularly UK and Canadian regulatory, tax, and workflow differences — are reflected in product direction. * Review and challenge product decisions where proposed approaches would create operational friction or fail to reflect how enterprise dealer groups actually work.   Retail-Accounting Integration & Enterprise Alignment * ·Lead the thinking on how retail operations and accounting should connect within the ARC platform, reducing the friction that enterprise groups typically experience at the boundary of front-end sales and back-office financial processes. * Define and document how stock management — from vehicle ordering and part-exchange to stocking plans and aged inventory — should be handled within a modern, integrated platform at scale. * Identify integration gaps and misalignments between retail and accounting workflows, and work collaboratively across product, engineering, and implementation teams to address them systematically. * Build the standards and reference models that allow large enterprise dealer groups to adopt the platform confidently, with a clear view of how complex operational scenarios are handled.   Transformation Delivery & Customer Engagement * Drive a transformation-first engagement model with prospective and existing enterprise customers — leading with platform capability and operational best practice rather than collecting lists of legacy-system requirements. * Develop transformation frameworks, operational blueprints, and change readiness tools that help enterprise dealer groups understand what operating on ARC looks like at steady state. * Engage directly with senior operational and finance stakeholders at dealer groups during pre-sales, onboarding, and post-go-live phases, building the credibility and trust that complex transformations demand. * Feed real-world implementation and adoption insights back into the product cycle, closing the loop between what customers experience and what the platform delivers.   International Market Coverage * Own the retail and operational perspective for UK and Canadian markets, building a detailed understanding of how market-specific dynamics — franchise agreements, VAT/GST treatment, stocking structures, OEM relationships — affect platform requirements. * Develop a scalable model for international retail operations insight that can extend to additional markets as Tekion's international footprint grows. * Represent Tekion externally at industry events, dealer group forums, and OEM discussions where operational expertise and transformation credibility are required.   PERKS & BENEFITS  * Competitive compensation and generous stock options     * 100% employer-paid top-of-the-line medical, dental and vision coverage    * Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper      * Work on the latest and coolest technologies – everything is home-grown and built ground-up     * A dynamic work environment with a strong sense of community and collaboration     * The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy     * Exciting opportunities for career growth and development       Current Tekion Employees – Please apply via Greenhouse Internal Job Board    ---------------------------------------------------------------------------------------------------------------------------------- Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.  For more information on our privacy practices, please refer to our Applicant Privacy Notice here [https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice].