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Staff Technical Program Manager, AI

134k – 210kUnited StatesTechnical Program ManagementRemote5+ YOE
Summary

Lead complex, cross-team AI and agent-first SDLC programs. Drive integration, operational readiness, and process improvements for AI systems at a telemetry infrastructure company.

About the role

Responsibilities

  • Collaborate on the engineering organization's pivot to an agent-first Software Development Life Cycle (SDLC) across requirements, design, implementation, testing, and deployment.
  • Manage cross-system integration and interoperability of the org-wide AI workflow, ensuring agents across Core Platform, SRE, and Support communicate effectively.
  • Partner with AI Engineering to ensure operational readiness for AI-owned capabilities and systems, including defining clear escalation paths, incident handling procedures and Go-to-Market readiness.
  • Provide leadership for development initiatives and lead the end to end delivery of the most complex initiatives across multiple teams, ensuring successful outcomes.
  • Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.
  • Drive Technical Program Management best practices and develop best of class software development processes.
  • Use deep technical skills and domain knowledge to influence the strategic direction of teams and the department.
  • Define and track improvement to metrics for quality and performance across complex projects involving many teams.
  • Develop methods for ongoing communication of planning, program status, issues, and risks to stakeholders.

Requirements

  • 5+ years of leadership experience on software teams as a Technical Program Manager or Development Manager
  • Machine learning experience, ideally in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production
  • Working knowledge of Agentic AI (e.g., machine learning, model lifecycle, data pipelines)
  • Experience designing workflows where AI accelerates execution (coding, triage, diagnostics) without compromising system quality or increasing on-call burden
  • Fluency in providing deep technical, product, and user context to AI systems to achieve high-quality output
  • Experience delivering complex projects or solutions that span different groups within an organization
  • Excellent verbal and written skills coupled with an ability to present to all levels in an organization
  • Skilled at influencing stakeholders and leadership to develop systems, solutions, and products
  • Adaptability and willingness to learn new skills, technologies, and frameworks
  • Experience with common software development tools (e.g. GitHub, bitbucket, Jenkins) and public cloud technology (e.g. AWS, Azure etc)

Nice-to-Haves

  • Experience with public cloud technology (AWS, Azure)
Skills
Machine LearningAgentic AIModel LifecycleData PipelinesGitHubBitbucketJenkinsAWSAzureSDLC
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