Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience in machine learning or artificial intelligence.
Preferred qualifications:- Proven experience as a Senior Technical Program Manager managing cross functional projects from conception to deployment in ambiguous environments.
- Experience in machine learning and AI project lifecycle, with expertise in AI capabilities, LLMs, or agentic systems.
- Experience collaborating with engineering, research, design, and product teams to drive concepts to launch and boost AI adoption and integration.
- Ability to build relationships, ensure strategic alignment with executive leadership, and articulate goals and roadblocks to stakeholders.
- Demonstrated resilience in navigating technical challenges, mitigating risks, and adapting to continuously evolving requirements while ensuring smooth project execution.
About the jobAs a Technical Program Manager (TPM) in AIR, You will grow in ambiguous, fast-moving environments and communicate effectively with executives, and be deeply involved in your areas of responsibility. This means making tangible, direct contributions to your efforts, which can range from operational to highly technical, depending on the circumstances. You must be willing to be thoroughly engaged in the entire effort, from beginning to end.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) 20% bonus target equity benefits
Responsibilities- Lead the end-to-end execution of complex, multi-quarter technical roadmaps for AI/ML features, defining project scope and high-impact deliverables that align with Platforms and Devices strategies from initial conception to launch.
- Partner closely with Engineering and Product leads to shape technical direction, serving as a critical communication bridge to synthesize complex project progress, priorities, and challenges for leadership.
- Identify, analyze, and mitigate potential risks to keep fast-moving projects on schedule, advocating for best practices in program execution and resource coordination across geographically dispersed teams.
- Create strong, trusted relationships with global engineering managers, product teams, and research partners, fostering a culture of collaboration and mutual accountability to achieve successful outcomes.
- Advocate AI-first and agentic collaboration by continuously identifying improvement areas, driving and deploying solutions that boost velocity for both program management and the overall team.
