Senior Technical Program Manager, AI
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Artificial IntelligenceSoftware ArchitectureStakeholder managementDistributed Systems
Requirements
- 7+ years of experience in technical program management, engineering, or related roles.
- Exposure to distributed systems or AI-driven products.
- Strong computer science fundamentals or equivalent technical depth.
- Proven experience delivering large-scale, cross-functional technical programs from conception through production.
- Hands-on familiarity with AI systems, LLM orchestration, or machine learning pipelines in production.
- Ability to manage complex dependencies across multiple engineering teams and stakeholder groups.
- Experience working with non-deterministic systems, including evaluation, monitoring, and reliability.
- Demonstrated ability to influence without authority.
- Strong understanding of modern software architecture, cloud systems, and data infrastructure.
- Comfortable using AI tools to enhance productivity and program execution.
Responsibilities
- Lead and orchestrate the execution of large-scale, cross-functional technical programs focused on embedding AI capabilities across product, platform, and internal systems.
- Drive end-to-end delivery of complex AI initiatives spanning multiple engineering pods, product surfaces, and infrastructure components.
- Coordinate dependencies across backend, frontend, data, and platform teams to ensure seamless execution of AI-powered system integrations.
- Partner with engineering leadership to design and operationalize AI-driven workflows.
- Identify and resolve execution bottlenecks, technical risks, and architectural misalignments.
- Implement AI-enabled tooling and automation workflows to increase engineering velocity.
- Facilitate technical decision-making including build-versus-buy analysis and system design tradeoffs.
- Define program structure, milestones, and success metrics for initiatives involving non-deterministic AI systems.
- Drive cross-functional alignment between product, engineering, and operations.
- Establish clear accountability, communication rhythms, and delivery discipline.
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