• Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth. • Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features. • Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics. • Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals. • Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. • Foster a collaborative, inclusive, and high-performing team culture.

• You will manage a team of data engineers, set technical direction, and partner closely with Product, Analytics, Infrastructure, and Business stakeholders to deliver high-impact data solutions. • Lead, mentor, and develop a team of Data Engineers through regular 1:1s, coaching, and performance feedback • Own hiring, onboarding, career development, and performance management for the team • Foster a culture of accountability, ownership, collaboration, and continuous improvement • Balance delivery expectations with sustainable team practices • Own the design, development, and operation of data ingestion, transformation, and storage pipelines (batch and streaming) • Ensure reliability, scalability, performance, and cost efficiency of data systems • Drive best practices in data modeling, data quality, observability, and operational excellence • Review and guide technical designs, architecture decisions, and code quality • Partner with platform and infrastructure teams on tooling, security, and scalability • Translate business and analytics requirements into scalable technical solutions • Partner with Product, Analytics Engineering, Data Science, and Business teams to deliver trusted datasets and metrics • Own sprint planning, prioritization, and delivery commitments • Communicate progress, risks, and tradeoffs clearly to stakeholders and leadership • Establish and enforce data engineering standards, patterns, and documentation • Support data governance, data contracts, and schema management • Ensure compliance with security, privacy, and data retention requirements.

• Lead the engineering teams responsible for building the mission critical systems powering institutional products that shape the crypto landscape. • Collaborate with engineers, designers, product managers, and senior leadership to translate our vision into a tangible roadmap. Break down complex projects into smaller pieces and lead the iterative design and implementation process. • Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality and operational excellence. Collaborate with Product and Engineering teams to ensure successful delivery and operation of complex, distributed systems at scale. • Coach your direct reports to have a positive impact on the organization and support their career growth. • Work closely with our talent organization to identify and recruit exceptional engineers who align with Coinbase's culture and contribute to our products. • Contribute to and take ownership of processes that drive engineering quality and meet our engineering SLAs.

• Lead delivery of the Data Platform product and technical roadmap, guiding architecture and execution to ensure the platform scales reliably, performs efficiently, and continues to meet the evolving needs of customers and partners. • Lead, coach, and grow a team of data and platform engineers responsible for building and operating the Data Platform. • Collaborate with Product, domain SMEs, and downstream consumers to translate business and customer needs into clear platform roadmaps and delivery plans. • Provide technical leadership by guiding architectural decisions, reviewing designs, and ensuring implementations align with platform standards and long-term maintainability. • Ensure the Data Platform meets observability, privacy, security, and compliance requirements, working closely with QA, Security, and Compliance teams. • Drive operational excellence, including incident response, post-mortems, and continuous improvement of data freshness, accuracy, reliability, performance, and cost efficiency. • Partner with DevOps and DevSuccess to improve CI/CD pipelines, deployment practices, monitoring, and alerting for data systems. • Actively manage and reduce technical debt, balancing near-term delivery with long-term platform health. • Hire, onboard, and develop engineers, providing coaching, feedback, performance management, and career development support. • Serve as an escalation point for complex delivery, operational, or technical issues, helping teams navigate ambiguity and make sound trade-offs.