Senior Technical Program Manager, Productivity
New
W
WebflowDigital Experience Platform
Remote-first (Argentina)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4-6+ years
- Required Skills
- JiraCI/CDConfluenceGoogle Workspace
Requirements
- 4-6+ years of experience in technical program management (or similar), leading complex, cross-functional engineering programs.
- Experience working with developer experience or productivity measurement tools (e.g., DX, Pluralsight Flow, LinearB, or similar) — including survey design, metrics interpretation, and driving adoption among engineering leaders.
- An AI-native operator, who treats AI as a core part of how work gets done, embedding it into team workflows, scaling effective patterns, and continuously raising the bar for productivity and execution.
- Skilled at partnering with engineers, EMs, and PMs to translate complex technical initiatives into clear execution plans and milestones.
- Strong at coordinating across multiple teams, aligning dependencies, and proactively surfacing risks to drive predictable delivery.
- Comfortable operating in technical domains such as developer tooling, CI/CD, testing infrastructure, or internal platforms (direct experience strongly preferred).
- A role model for effective execution practices, showing urgency while balancing tradeoffs thoughtfully.
- Leverages experience in program delivery to establish repeatable cadences, tools, and documentation.
- Proficient with program management tooling (e.g., Jira, Confluence, Google Suite) and able to introduce lightweight processes that scale.
- 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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