Senior Product Manager, Agentic Source Code

JobgetherDevOps, AI

CanadaFull-TimeSenior

Salary not disclosed

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Job Details

Proven experience as a Product Manager working on developer tools, DevOps platforms, source code management, planning tools, AI-native products, or related software development lifecycle technologies.
Direct, hands-on understanding of the software development lifecycle, including branches, merge requests, code reviews, CI/CD, releases, and the progression from requirements through delivery.
Experience working closely with engineering and highly technical teams, with sufficient technical depth to understand developer workflows, architecture considerations, and product tradeoffs.
Strong data-driven product management skills, including the ability to use product and customer data to identify opportunities, prioritize work, and measure impact.
Comfort operating in ambiguous environments where established market patterns, product categories, or best practices may not yet exist.
Experience building or shipping products that incorporate AI tools or autonomous agents.
A thoughtful perspective on where AI can add value across the software development lifecycle and where human judgment remains important.
Ability to think creatively about how AI is changing software development and translate those changes into compelling product experiences.
Strong communication and collaboration skills, particularly when working with distributed teams in an asynchronous environment.
Demonstrated bias toward action and the ability to help teams deliver meaningful customer value quickly.

Define and execute product strategy for experiences connecting planning, source code management, and AI-assisted software development.
Shape workflows that allow humans and AI agents to move between product intent and source code.
Design experiences that allow code changes and diffs to be reviewed against original requirements.
Partner with engineering, design, and product teams to develop human-in-the-loop and autonomous development workflows.
Collaborate on prototypes for specification-driven planning and autonomous development modes.
Use customer feedback, data, and market insights to prioritize initiatives.
Balance rapid delivery and experimentation with a long-term vision for AI-native development.
Explore better integration of code review and test-case validation against intended outcomes.
Collaborate across planning and source code management areas to reduce friction in the software development lifecycle.
Help technical teams navigate ambiguity and deliver improvements quickly.

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