Senior Program Manager, Alexa Sensitive Content Intelligence (ASCI)

As a Senior Program Manager in the Trust Sensitive Content team, you will shape how Alexa protects hundreds of millions of customers from harmful content using generative AI and responsible AI guardrails. About the Role You start with the customer and work backwards — every program decision is anchored in customer trust and experience. This role blends strategic leadership with program management excellence. You will define vision, lead cross-functional program delivery, and build high-performing teams in an environment where problems are ambiguous, stakes are high, and innovation moves at pace. This is not a role for someone who follows playbooks — it is a role for someone who writes them. Four things set the right candidate apart above all else: 1. Demonstrated Program Management — you have led large, complex, cross-functional programs end-to-end and have the track record to prove it 2. Invent & Simplify — you don't manage complexity, you reduce it. You build scalable solutions where ambiguity existed before 3. Mechanisms — you build repeatable, self-sustaining operating systems that scale without requiring heroics 4. Data & LLM Fluency — you understand how large language models work, where they fail, and how data quality decisions upstream shape model behavior and customer outcomes downstream Key job responsibilities Strategic Program Leadership (Ambiguity & Scope) * Define and execute strategic roadmaps for responsible AI programs — working backwards from customer problems, safety requirements, and regulatory needs * Translate high-ambiguity programs across AI quality, data integrity, and content safety into actionable plans with clear success metrics * Negotiate priorities, secure resources, and influence stakeholders across engineering, legal, science, and policy to deliver program value * Bring data and LLM awareness to strategic decisions — connect generative AI model behavior, data pipelines, and evaluation frameworks to customer outcomes 2. Program Execution & Operational Excellence (Execution & Problem Complexity) * Own end-to-end delivery of multiple cross-functional programs simultaneously — build release schedules, manage dependencies, and mitigate risks proactively * Define and monitor success metrics (quality rates, audit pass rates, customer satisfaction signals) and report progress in Leadership Reviews to executive stakeholders * Build mechanisms — establish SLAs, audit frameworks, and operating workflows that drive accountability and long-term operational excellence * Use metrics to challenge assumptions, surface insights, and make the case for course corrections; understand the data quality and LLM evaluation signals that indicate program health * Govern program health through regular risk assessments, blocker tracking, and re-prioritization to balance short-term deliverables with long-term innovation goals & establish high standards for program documentation, decision-making, and execution discipline across the team * Empower teams to solve problems autonomously, recognize contributions, and maintain sustainable workloads 3. Cross-Functional Program Influence (Scope & Influence) * Partner with engineering, data science, and policy teams to align roadmaps and resolve trade-offs (speed vs. accuracy, scalability vs. compliance, data richness vs. latency) * Champion program outcomes in strategic forums (MBR/QBR, OP1/OP2), articulating technical and business impacts to leaders up to L10 * Advocate for reusable, scalable solutions that avoid reinvention and accelerate time-to-value for safety and quality programs * Engage with science and engineering teams on LLM behavior, data pipeline quality, and model evaluation design — bridge the gap between technical execution and program delivery * Build trust and alignment without direct authority in a matrixed organization 4. Communication & Stakeholder Management (Communication & Impact) * Write clear, data-driven documents (6-pagers, program