Senior Technical Program Manager - Productivity

New
Remote-first (Argentina)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
4-6+ years
Required Skills
Artificial IntelligenceJiraCI/CDConfluenceGoogle Workspace

Requirements

  • 4-6+ years of experience in technical program management (or similar)
  • Experience leading complex, cross-functional engineering programs
  • Experience working with developer experience or productivity measurement tools (e.g., DX, Pluralsight Flow, LinearB)
  • Experience with survey design, metrics interpretation, and driving adoption of tools
  • An AI-native operator, embedding AI into team workflows
  • Skilled at partnering with engineers, EMs, and PMs to translate technical initiatives into execution plans
  • Strong at coordinating across multiple teams, aligning dependencies, and surfacing risks
  • Comfortable operating in technical domains such as developer tooling, CI/CD, testing infrastructure, or internal platforms
  • Proficient with program management tooling (e.g., Jira, Confluence, Google Suite)
  • Comfortable working with third-party tools/vendors and driving adoption across engineering teams

Responsibilities

  • Lead multiple complex, cross-functional programs within Developer Productivity (e.g., dev tooling, CI/CD improvements, local dev environments, testing infrastructure).
  • Own the developer experience measurement program - including configuring and maintaining survey snapshots, establishing baseline metrics, and driving iterative improvements to tooling based on signal from the data.
  • Lead and manage enablement and rollout of Productivity tools and improvements.
  • Navigate ambiguity and align stakeholders around loosely defined goals, bringing structure to complex problem spaces.
  • Embed AI into developer workflows and program execution, identifying and integrating AI-powered tools (e.g., codegen, automation, copilots) to standardize and scale improvements in speed, quality, and team efficiency.
  • Align stakeholders across Engineering, Product, Design, and GTM, surfacing risks and dependencies early.
  • Partner with technical stakeholders to break down complex engineering challenges into clear execution plans and milestones that drive toward abstract goals.
  • Apply judgment in ambiguous situations: frame tradeoffs, facilitate prioritization, and bring clarity to complex problems.
  • Develop repeatable frameworks, processes, and metrics that improve execution across multiple programs.
  • Serve as a thought partner to Directors and Engineering Managers, improving their ability to manage execution.
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