Senior Program Manager, Alexa Sensitive Content Intelligence (ASCI)

DESCRIPTION

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 narratives, WBR decks) that align teams and secure buy-in from senior leaders

Resolve contentious issues by harmonizing diverse viewpoints - engineering feasibility, policy compliance, customer experience - through data-driven discussions

Maintain transparency via dashboards, status reports, and cross-team syncs to ensure accountability and agility

A day in the life

No two days look the same - but every day centers on protecting customer trust at scale. You move between strategy and execution, connecting the dots across science, engineering, and policy to deliver responsible AI programs that work.

Develop and iterate on scalable solutions for emerging content safety challenges - from defining evaluation frameworks for new LLM capabilities to designing guardrail mechanisms that reduce manual intervention

Lead weekly program reviews with engineering and science leads to track delivery, surface risks, and unblock teams

Write and present program narratives for MBR/QBR and leadership reviews that connect program health to customer outcomes

Partner with Applied Science to translate model behavior insights into actionable program requirements - closing the loop between data quality, model performance, and customer experience

Triage and resolve cross-team blockers across engineering, policy, and science partners - making trade-off decisions that balance speed, accuracy, and compliance

Review program metrics dashboards and drive course corrections based on data signals - not waiting for problems to surface, but building the mechanisms that catch them early

About the team

The Trust Sensitive Content and Feedback Intelligence organization pioneers the protection of customer trust in Alexa and Devices by identifying and mitigating sensitive content across text, image, video, and audio. We combine generative AI, machine learning, and responsible AI guardrails to deliver real-time safety solutions at scale.

We are a fast-moving, highly collaborative team that partners closely with Applied Science, Engineering, and Policy teams. We don't just run programs - we invent the frameworks that make them run. If you thrive in ambiguity, love building from scratch, and want your work to directly shape the safety and quality of AI experiences for millions of customers, this is the team for you.

BASIC QUALIFICATIONS

5+ years of working cross functionally with tech and non-tech teams experience

5+ years of program or project management experience

5+ years of delivering cross functional projects experience

Experience defining program requirements and using data and metrics to determine improvements

PREFERRED QUALIFICATIONS

2+ years of driving process improvements experience

Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field

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