Company
Technology
SeniorTechnicalProgramManager,AI
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Technical Program Manager, AI. Skills: AI program management, Cross-functional execution, Machine learning delivery. Lead technical programs embedding AI capabilities. Orchestrate execution of technical programs”
What You'll Achieve.
Increase engineering velocity; Reduce operational overhead; Deliver AI-driven customer-facing capabilities; Deliver internal AI-driven capabilities; Reduce manual effort; Improve scalability
Industry & Context.
Problem-solving; Root cause analysis
What They're Looking For.
Must Have
7+ years of experience in technical program management, Exposure to distributed systems or AI-driven products, Computer science fundamentals or equivalent technical depth, Proven experience delivering large-scale, cross-functional technical programs, Hands-on familiarity with AI systems, Familiarity with LLM orchestration, Familiarity with machine learning pipelines in production, Ability to manage complex dependencies, Experience working with non-deterministic systems, Demonstrated ability to influence without authority
Nice to Have
Experience with evaluation, monitoring, and reliability considerations for non-deterministic systems, Understanding of modern software architecture, Understanding of cloud systems, Understanding of data infrastructure concepts, Comfortable using AI tools and automation
What You'll Do.
Lead technical programs embedding AI capabilities
Orchestrate execution of technical programs
Ensure alignment between engineering
and infrastructure teams
Drive end-to-end delivery of AI initiatives
Coordinate dependencies across backend
Partner with engineering leadership to design AI-driven workflows
Operationalize AI-driven workflows
Design evaluation frameworks for AI systems
Design observability for AI systems
Design governance models for agentic systems
Identify execution bottlenecks
Resolve technical risks
Resolve architectural misalignments
Implement AI-enabled tooling
Implement automation workflows
Implement development process improvements
Facilitate technical decision-making
Define program structure
Define program milestones
Define success metrics for AI initiatives
Drive cross-functional alignment
Ensure delivery of AI-driven capabilities
Support evolution of internal systems
Champion execution excellence
Establish clear accountability
Establish communication rhythms
Establish delivery discipline
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Data teams; Infrastructure teams; Product teams; Multiple engineering pods; Product surfaces; Infrastructure components; Backend teams; Frontend teams; Operations teams
Communication Scope
Stakeholder communication
Process & Methodology
Technical program management, Execution, Dependency management, Milestone definition, Success metrics
Full Job Description
## Accountabilities Lead and orchestrate the execution of large-scale, cross-functional technical programs focused on embedding AI capabilities across product, platform, and internal systems, ensuring alignment between engineering, data, and infrastructure teams. 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, including evaluation frameworks, observability, and governance models for agentic systems Identify and resolve execution bottlenecks, technical risks, and architectural misalignments across distributed teams Implement AI-enabled tooling, automation workflows, and development process improvements to increase engineering velocity and reduce operational overhead Facilitate technical decision-making, including build-versus-buy analysis, system design tradeoffs, and platform strategy alignment Define program structure, milestones, and success metrics for initiatives involving non-deterministic AI systems and production-scale machine learning components Drive cross-functional alignment between product, engineering, and operations teams to ensure delivery of AI-driven customer-facing and internal capabilities Support the evolution of internal systems into automated, AI-assisted workflows that reduce manual effort and improve scalability Champion execution excellence by establishing clear accountability, communication rhythms, and delivery discipline across all program stakeholders Requirements: This role requires a strong technical foundation combined with deep experience delivering complex, multi-team programs in AI or data-intensive environments, along with strong execution leadership and systems thinking. 7+ years of experience in technical program managemen
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