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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1b5b24ef-246"},"title":"Engineering Manager II, Programmatic Offsite Ads","description":"<p>About Pinterest</p>\n<p>We&#39;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&#39;s unique experiences and embrace the flexibility to do your best work.</p>\n<p>Creating a career you love? It&#39;s Possible. At Pinterest, AI isn&#39;t just a feature, it&#39;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.</p>\n<p>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.</p>\n<p>You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p>\n<p>Job Summary</p>\n<p>We’re seeking a talented Manager II, Engineering to take on a leadership role within the Programmatic Offsite Ads team. You will lead critical efforts to define, build, and evolve the ad features which power Pinterest’s ads business through off-platform supply partnerships.</p>\n<p>Responsibilities</p>\n<p>In this pivotal role, you will take on the challenge of defining and executing the offsite ads strategy for programmatic ads at Pinterest.</p>\n<p>Own the end-to-end strategy and roadmap for driving programmatic off-platform ads delivery, driving high-quality outcomes which meet advertiser expectations.</p>\n<p>Partner closely with Product, Design, Research, Sales, Policy, and the broader Monetization org to define new product features, and advertising experiences that balance user delight, advertiser outcomes, and platform integrity.</p>\n<p>Lead experimentation and optimization of advertising campaigns, using A/B testing and rigorous measurement (e.g., viewability, engagement, conversion, advertiser performance, user sentiment) to drive continuous improvement.</p>\n<p>Work with external supply partners to ensure our off-platform ads are well-supported in the programmatic ecosystem, and that Pinterest’s creatives adhere to performance standards.</p>\n<p>Collaborate with serving, infra, and ML teams to ensure that programmatic ads are backed by robust infrastructure, measurement, and policies.</p>\n<p>Lead mission-critical initiatives involving 8-10 engineers across backend and frontend stacks, and directly influence their day-to-day work through mentorship, coaching, and clear technical direction.</p>\n<p>Build and maintain a culture of inclusivity, craft, and operational excellence within the Programmatic Offsite Ads team.</p>\n<p>Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.</p>\n<p>Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality.</p>\n<p>Requirements</p>\n<p>BS (or higher) degree in Computer Science, or a related field.</p>\n<p>2-3+ years of relevant engineering management experience.</p>\n<p>3-4+ years of relevant industry experience within the ads domain.</p>\n<p>Experience designing or delivering high scale, real time distributed systems.</p>\n<p>Working knowledge of programmatic advertising and OpenRTB (DSPs/SSPs, auctions, targeting, measurement), and experience partnering with external platforms.</p>\n<p>Proven track record partnering with Product and Design to define new product features, run experiments, and use data to iterate on performance outcomes.</p>\n<p>Rich experience working cross-functionally to drive alignment, oversee execution, and secure deliverables across Product, Design, ML, Infra, Sales, and external partners.</p>\n<p>Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.</p>\n<p>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.</p>\n<p>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.</p>\n<p>Experience mentoring, guiding, and upleveling engineers, including senior ICs.</p>\n<p>Strong communication skills and the ability to articulate product strategy and tradeoffs to both technical and non-technical stakeholders.</p>\n<p>Strong commitment to building inclusive teams and fostering a sense of belonging.</p>\n<p>In-Office Requirement Statement:</p>\n<p>We let the type of work you do guide the collaboration style. That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection.</p>\n<p>This role will need to be in the office for in-person collaboration [1 time per week] and therefore needs to be in a commutable distance from one of the following offices: San Francisco.</p>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</p>\n<p>#LI-HYBRID #LI-KBF</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1b5b24ef-246","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7494773","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,185-$364,795 USD","x-skills-required":["Computer Science","Engineering Management","Programmatic Advertising","OpenRTB","Distributed Systems","Data Lake Storage","Metadata Management","AI","Machine Learning"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:52.945Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Computer Science, Engineering Management, Programmatic Advertising, OpenRTB, Distributed Systems, Data Lake Storage, Metadata Management, AI, Machine Learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177185,"maxValue":364795,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc0c258f-1f6"},"title":"Engineering Manager II, Enterprise AI Solutions","description":"<p>We are seeking a Business Savvy Engineering Manager to help define the future of Corporate IT&#39;s AI-based future at Pinterest. Working closely with cross-functional engineering teams and business leaders, you will lead a nimble team playing a pivotal role in scaling Corporate IT&#39;s engineering department.</p>\n<p>As an Engineering Manager, you will guide your team in designing and building the solutions that make our business partners&#39; jobs easier, faster, and more capable. You will grow and empower engineers while shaping how we build Pinterest&#39;s AI future.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead a team of employees and contractors focused on solving business problems using AI tools.</li>\n<li>Work closely with the existing software engineering teams to develop a seamless and low-friction client experience.</li>\n<li>Mentor junior engineers to help them grow and develop into the best that they can be.</li>\n<li>Motivate and lead your team to show up every day and do their best work.</li>\n<li>Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.</li>\n<li>7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.</li>\n<li>Proficiency in designing and delivering AI-based solutions that solve real-world business problems.</li>\n<li>Understanding of business unit challenges and problems, focused on Finance, Accounting, Legal, Sales, and Marketing.</li>\n<li>Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.</li>\n<li>Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.</li>\n<li>Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.</li>\n<li>Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.</li>\n<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.</li>\n<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.</li>\n</ul>\n<p>In-Office Requirement Statement:</p>\n<ul>\n<li>We let the type of work you do guide the collaboration style. That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection.</li>\n<li>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>\n</ul>\n<p>Relocation Statement:</p>\n<ul>\n<li>This position is not eligible for relocation assistance.</li>\n</ul>\n<p>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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc0c258f-1f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7494960","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,185-$364,795 USD","x-skills-required":["Python","AI","Cloud infrastructure","Containerized services","Docker","Kubernetes","Data lake storage","Metadata management","Big data","ML/AI innovations"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:29.379Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, AI, Cloud infrastructure, Containerized services, Docker, Kubernetes, Data lake storage, Metadata management, Big data, ML/AI innovations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177185,"maxValue":364795,"unitText":"YEAR"}}}]}