Manager, Program Management

About the Role

As a Capacity & Workforce Management leader in Uber AI Solutions, you will shape the strategy and operational framework that drives how independent contributors are deployed across projects. You will oversee the end-to-end allocation model-ensuring the right talent is matched to the right work-while balancing capacity, demand, quality, and throughput at scale. This role requires strategic thinking, strong operational judgment, and a data-driven approach to anticipate needs, optimize resource utilization, and enable predictable, high-quality delivery. The ideal candidate brings exceptional ownership, navigates rapid change with ease, and continually identifies strategic improvements that elevate efficiency, contributor experience, and overall program performance.

What the Candidate Will Do

1. Partner closely with Sales, Delivery, and Demand Planning teams to anticipate upcoming project needs and proactively build IC capacity pipelines.
2. Own end-to-end capacity forecasting, ensuring alignment between demand, available workforce, and project timelines.
3. Lead and mentor the capacity and allocation team, driving clarity, accountability, and seamless execution across all active projects.
4. Monitor project health end-to-end, identifying capacity gaps, risks, and operational bottlenecks before they impact delivery.
5. Implement scalable capacity models, governance mechanisms, and reporting frameworks to support predictable execution and informed decision-making.
6. Collaborate cross-functionally to balance short-term operational needs with long-term workforce strategy, ensuring consistent throughput and quality.

What the Candidate Will Need

1. 8+ years of experience in capacity management, workforce planning, or large-scale operations, with a proven ability to manage complex, high-volume environments.
2. Expertise in capacity forecasting, demand modeling, and utilization planning, ensuring the organization can consistently meet delivery, quality, and efficiency targets.
3. Strong command of workload balancing and scenario planning, with the ability to anticipate constraints, identify capacity risks, and implement mitigation strategies.
4. Exceptional organizational and prioritization skills, enabling effective management of dynamic resource needs across multiple programs and stakeholders.
5. Strategic communication and cross-functional influence, aligning capacity decisions with engineering, product, operations, and vendor teams to support long-term business goals.
6. Demonstrated agility and sound operational judgment, maintaining stability and precision while navigating shifting priorities and rapidly evolving demand.
7. High-ownership mindset, proactively identifying capacity gaps, driving end-to-end solutions, and optimizing systems and processes to scale sustainably.
8. Proficiency with capacity planning and workforce management tools, alongside strong skills technical platforms.

Skills good to have

1. Strong expertise in capacity forecasting, demand planning, and scenario modeling.
2. Proven ability to optimize workforce utilization while maintaining quality and delivery targets.
3. Advanced analytical skills with experience using SQL, dashboards, and data-driven decision frameworks.
4. Hands-on experience with workforce management or capacity planning tools and systems.
5. Strong cross-functional leadership, with the ability to align capacity plans across operations, engineering, product, and vendor teams.
6. Demonstrated capability in designing scalable processes, improving operational efficiency, and resolving capacity bottlenecks.
7. Agility in adapting plans to rapid changes in demand or priorities while maintaining operational stability.
8. Experience driving change management initiatives, including rollout and adoption of new capacity models or tools.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

.Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .