Technical Program Manager, Platform

As a Technical Program Manager for the Platform team, you will partner with engineering teams to accelerate the development and maturity of the Scale Generative AI Platform (SGP).

You will own the strategic alignment and end-to-end execution of critical infrastructure initiatives, serving as the core communication backbone between platform engineering, product teams, and executive leadership.

Your responsibilities will include:

• Lifecycle & Platform Delivery: Leading strategic planning and high-velocity execution for SGP core capabilities, managing features from technical scoping to production launch.
• Cross-Functional GenAI Alignment: Driving execution and managing complex technical dependencies across systems engineering, Core ML, Research, and Product teams.
• Technical Translation & Requirements: Translating complex infrastructure metrics into actionable roadmaps and mapping demands into platform features.
• Risk & Dependency Mitigation: Proactively identifying, tracking, and mitigating technical risks unique to massive-scale GenAI infrastructure and global SGP deployments.
• Developer Velocity & Operational Excellence: Establishing lightweight agile processes that empower engineers to ship fast without breaking core systems.
• Metrics-Driven Adoption: Tracking and reporting on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership.

The minimum qualifications for this role are:

• 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of building and shipping technical products or platforms from scratch.
• 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems, or distributed systems.
• Foundational understanding of the infrastructure required for the Generative AI lifecycle.
• Proven track record of presenting to and influencing executive-level stakeholders.
• Advanced proficiency with iterative development methodologies and modern project management tooling.

Nice-to-have qualifications include:

• Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer.
• Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines.
• Direct experience working with large-scale data quality pipelines, distributed vector databases, or specialized AI inference engines.