Define the end-to-end product architecture and multi-year strategy for Personalized Data across the Personalized Impact, Personalized Context, and Personalized Content pillars. Translate priority user jobs, customer feedback, and quality signals into platform requirements, architectural principles, sequencing, and measurable product outcomes. Establish clear product contracts for personal activity signals, dependency and availability semantics, index and query behavior, latency, freshness, restrictions, and platform integration. Architect an operating model for impact measurement, scenario-based evaluation, per-answer attribution, diagnostics, and test environments that predict real user outcomes. Lead product architecture for a complete, fresh, secure, fast, and predictable personalized index, including search-stack isolation, capacity strategy, access-control freshness, and runtime enforcement. Partner deeply with engineering, data science, applied research, security, privacy, compliance, and product teams to resolve cross-layer tradeoffs and deliver coherent platform capabilities. Create decision frameworks and architecture narratives that make complex choices explicit, including customer value, quality, cost, latency, reliability, trust, and ecosystem impact. Provide technical product leadership across the organization by mentoring PMs, raising product architecture quality, aligning senior stakeholders, and communicating decisions to executive audiences. Bachelor's Degree AND 8+ years experience in product/service/program management or software development These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience. 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Demonstrated experience leading technically complex platform products from strategy and architecture through execution, adoption, and measurable outcomes. Deep understanding of distributed systems, search and indexing, retrieval and ranking, data platforms, or AI/ML product architecture. Ability to convert ambiguous customer and business needs into clear technical requirements, platform contracts, product roadmaps, and success measures. Experience building product measurement systems, evaluation frameworks, observability, or cross-layer debugging capabilities for complex services. Proven ability to influence and align engineering, data science, security, compliance, and partner teams without relying on direct authority. Solid written and verbal communication skills, including the ability to explain architectural choices, risks, and tradeoffs to technical and executive audiences. Sound product judgment in privacy, permissions, access control, responsible AI, reliability, and enterprise trust. Ability to operate effectively in a high-ambiguity environment, connect long-range architecture with near-term delivery, and adapt plans as evidence changes. Ability to collaborate across organizational boundaries and lead decisions that span multiple products, services, and partner teams. Experience designing user-context, activity-signal, memory, or recommendation platforms that serve human and agent-driven scenarios. Experience with large-scale, multi-tenant services and architectures that balance latency, freshness, cost, capacity, security, and availability. Experience defining reusable platform APIs, contracts, schemas, or integration models used by multiple product teams. Track record of setting technical product direction, developing other product leaders, and driving decisions with senior engineering and business stakeholders.