As a Program Manager in the Alexa AI team, you will own and drive cross-functional programs that connect machine learning research to customer-facing product delivery. You'll manage the end-to-end lifecycle of initiatives spanning science and engineering teams, shipping features and improvements that transform customer experiences across languages, modalities, and devices.
You'll join a team of Program Managers and Technical Program Managers supporting multiple AI/ML initiatives. In this high-impact role, you'll define program requirements, drive execution across distributed teams, and own communication of progress and risks to senior leadership. You'll operate in a technically rich environment — partnering daily with software engineers, applied scientists, and technical leaders — making this ideal for someone who combines strong program management fundamentals with genuine curiosity about how technology systems work.
Key job responsibilities As a Program Manager in the Alexa AI team, You'll own programs end-to-end — defining requirements, driving milestones, clearing blockers, and delivering results aligned with organizational goals. You'll partner directly with science and engineering teams to scope efforts, set priorities, and drive delivery of cross-functional projects that span multiple organizations. Your ability to navigate ambiguity and make trade-offs considering customer experience, quality, cost, and timeline will be critical to success.
You'll drive program communications at all levels — writing narratives and strategic documentation to secure resources and alignment, while keeping Sr. Managers and Directors informed on status, risks, and escalations. You'll define and track success metrics (KPIs) to measure program health and customer impact, using data to tell the story of progress and inform decisions.
You'll apply process improvement methodologies (Agile, Lean, Kaizen) to accelerate delivery and eliminate waste. You'll proactively identify risks and drive mitigation plans before they become roadblocks, ensuring programs maintain momentum even in complex, fast-moving environments.
A day in the life Your day will involve facilitating cross-team syncs with engineers and scientists, reviewing program metrics to identify emerging risks, and drafting communications that translate technical complexity into clear leadership updates. You'll move between strategic planning — shaping quarterly roadmaps with product and science leaders — and tactical execution, unblocking teams and driving decisions in real time. Your internal stakeholders span applied science, engineering, product, and leadership across Alexa AI globally.
About the team Alexa AI's vision is to drive innovation in AI systems and models to deliver transformative and indispensable assistant experiences for customers across all languages, modalities, and devices. Our Turin team operates at the intersection of niche research and product delivery, collaborating with global Alexa AI teams to bring advanced machine learning capabilities from prototype to production. We value intellectual curiosity, bias for action, and a collaborative spirit — you'll work alongside world-class scientists and engineers solving some of the most challenging problems in conversational AI.
Basic Qualifications
- Experience working effectively on milestone-driven projects
- Experience working effectively across cross-functional teams and partner well with people at all levels within an organization, including coaching of junior staff
- Experience managing teams and external advisors
- Bachelor's degree
- Several years of program management experience.
- Experience working directly with engineering or technical teams.
- Excellent communication skills (written and spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.
- Proven ability to write clear documentation: requirements, status reports, narratives.
- Fluent English required (written and spoken - B2).
Preferred Qualifications
- Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar
- Data-driven decision making:Experience using metrics, A/B testing results, or analytics to drive program priorities and measure success.
- Background that bridges business and technology: e.g., former SDE/QA who moved into program management, CS/engineering degree combined with program delivery experience, or demonstrated progression from project coordination into technical program delivery.
- Understanding of software development lifecycle: Familiarity with CI/CD, deployment pipelines, operational excellence (monitoring, alarming, on-call), and how these impact program timelines and quality.
- Experience writing or contributing to technical specifications, design documents, or architecture reviews — not just business requirements.
- Demonstrated ability to influence engineering roadmaps through data-driven proposals, not just coordinate schedules.
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