• Shape the product vision, strategy and roadmap for innovative ad formats across Netflix’s platforms (Desktop, Mobile, TV). • Manage products from concept to launch, delivering features iteratively to solve the business challenges before you. • Operate with an agile mindset, willing to rapidly prototype, test and improve our product offering. • Work closely with design, engineering, research, and business teams to prioritize features and improvements. • Define how we will measure the success and effectiveness of our products, and drive the execution and continuous evaluation of those metrics.

• Build a new foundational technology that connects systems across Netflix Ads • Lead the development and management of the Trusted Execution Environment (TEE) infrastructure for Ads • Enable confidential compute for sensitive, multi-party workloads while preserving privacy, integrity, and auditability • Define and drive the product vision and roadmap for Ads TEE Infrastructure • Deliver a platform (APIs, SDKs, templates) for attested, encrypted-in-use computation for common Ads workloads • Design complementary flows with Data Clean Room infrastructure • Collaborate with Security, Privacy, Legal, and partner technology teams to establish joint execution protocols • Provide first-class developer experience • Integrate with core data and compute planes with robust identity, RBAC/ABAC, per-tenant isolation, and secure IO patterns • Define and track success metrics

• Develop and execute strategy for telecom solutions focused on mobile networks, fixed wireless, and broadband technologies • Identify market opportunities and analyze customer needs • Collaborate cross-functionally with engineering, project management, marketing, and technical teams • Maintain understanding of market trends, including 5G, 6G, AI/ML, edge computing • Lead release planning process from initial planning to delivery • Advocate for Gigamon’s business and value proposition

• Support product discovery and delivery: Work with Product, UX, Engineering, and Analytics to define requirements, write clear user stories, and support feature delivery across back-office and extranet systems. • Strengthen reliability and data quality: Assist initiatives aimed at stable services, accurate data, and dependable workflows for stakeholders. • Monitor performance: Track feature/service performance using analytics tools, document outcomes and decisions, and support continuous improvement. • Enable cross-functional execution: Keep requirements organised, progress visible, and communication structured to help the team move quickly and learn.