Senior Technical Program Manager – AI Engineering Productivity
About The Position
We are seeking an experienced Senior Technical Program Manager – AI Engineering Productivity to drive AI-powered software development productivity initiatives across our engineering organization. Reporting to the VP of Engineering, this role will focus on accelerating engineering efficiency through adoption of AI-assisted development tools, modern engineering workflows, and developer productivity platforms. The ideal candidate will partner closely with Development, QA, SRE, and Support teams to improve code delivery velocity, streamline engineering workflows, and drive measurable productivity gains across the software development lifecycle. This highly visible role will lead cross-functional AI initiatives, drive organization-wide adoption of AI tooling, develop engineering productivity metrics and dashboards, and provide regular executive updates on roadmap progress, adoption trends, and business impact.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related technical field.
- 10+ years of Technical Program Management or related experience in software engineering environments.
- Experience driving large cross-functional technical initiatives across engineering organizations.
- Strong executive communication and stakeholder management skills.
- Prior software engineering experience, with the ability to read, evaluate, and discuss code, AI-generated outputs, and technical architecture decisions.
- Experience with tools such as GitHub Copilot, Claude, ChatGPT, Jira, GitHub, and MCP integrations.
- Experience building productivity dashboards, metrics programs, and engineering reporting systems.
Nice To Haves
- Understanding of developer workflows, CI/CD concepts, engineering operations, and software delivery processes.
- Familiarity with agentic AI architectures, multi-agent orchestration, and MCP-based tool integrations for developer and SRE workflow automation.
- Working knowledge of large language models, prompt engineering principles, model evaluation, and AI cost management or LLM procurement.
Responsibilities
- Lead adoption and enablement programs for AI-assisted development tools including coding assistants, workflow automation, and developer productivity platforms.
- Partner with engineering teams to improve developer efficiency, code delivery velocity, testing workflows, and operational effectiveness.
- Define and track engineering productivity metrics including AI adoption, code acceptance rates, unit test generation, workflow efficiency, and token utilization.
- Drive development of dashboards and reporting systems to measure engineering productivity and AI usage trends.
- Coordinate AI-assisted workflow initiatives including test generation and engineering automation.
- Drive AI-assisted support and incident management workflows, including agent-based Jira enrichment, runbook automation, log diagnostics, and RCA acceleration for customer-reported issues and alerting events.
- Establish and enforce AI tool usage governance, including cost management, token budget policies, usage anomaly detection, and guardrails against underutilization and token abuse across engineering teams.
- Organize best-practice sessions, brown bag trainings, and enablement programs to improve effective AI tool usage across engineering teams.
- Provide executive-level reporting on adoption trends, productivity improvements, roadmap progress, and optimization opportunities.
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
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What This Job Offers
Job Type
Full-time
Career Level
Senior
