Responsibilities

• Oversee the technical lifecycle of projects from prototype to production. Identify, design, and implement scalable technical launch systems and processes (e.g., security, privacy, quota management) to reduce friction and accelerate innovation.
• Build and maintain relationships with product and engineering teams (e.g., DM, PMMs) to secure early access to unreleased products and models. Manage cloud projects, compute quotas (TPUs/GPUs), billing, and permissions for internal teams and external agencies.
• Drive fast-paced creative initiatives with timelines (specific to event marketing) measured in weeks. Identify risks, remove roadblocks, and pivot quickly to adapt to changing model capabilities and limitations.
• Partner with creative technologists during the ideation phase to assess production implications, including costs, access, and scalability.
• Build and lead effective cross-functional program teams, aligning executive stakeholders on technical priorities, resource needs, and de-risking strategies for unreleased AI products.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience in AI/ML model deployment lifecycles and associated resource requirements (latency, cost, availability).
• Experience producing technical interactive experiences for in-person or web events.

Preferred

• 8 years of experience managing cross-functional or cross-team projects.
• Ability to translate technical requirements into operational realities for non-technical stakeholders.
• Demonstrated ability to navigate complex internal engineering ecosystems, including cloud infrastructure, capacity planning, and security/privacy compliance.
• Excellent problem-solving skills and the ability to build consensus across cross-functional teams (Legal, Product, Engineering, Creative).
• Comfortable working in high-intensity environments with rapidly evolving technologies and short turnaround times.