Technical Program Manager (Platform)

Join Scale AI as a Technical Program Manager for the Platform team. In this role, you will partner with engineering teams to accelerate the development of the Scale Generative AI Platform (SGP). You will own the strategic alignment and execution of critical infrastructure initiatives, serve as the core communication link between platform engineering, product teams, and executive leadership, and ensure the platform delivers reliable, performant, and secure systems.

• Partnership with engineering teams to accelerate the development and maturity of the Scale Generative AI Platform (SGP).
• Ownership of the strategic alignment and end-to-end execution of critical infrastructure initiatives, from initial scoping to measurable adoption.
• Serving as the core communication backbone between platform engineering, product teams, and executive leadership, translating architectural complexities into clear execution strategies.
• Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environments
• Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impacts
• Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems
• 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms)
• AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups
• Data-Centric AI Familiarity: Direct experience working with large-scale data quality pipelines, distributed vector databases, or specialized AI inference engines (e.g., Triton, Ray)
• Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast-moving product lines
• Engineering Roots: Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management