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Product Manager, Agentic AI

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: GitKraken
Full Time position
Listed on 2026-04-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

The Company

Git Kraken is the developer experience (Dev Ex) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, Git Kraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. Git Kraken’s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile Dev Ex platform available across desktop, command line, IDE, web, and mobile environments.

Discover smarter, faster development at  or follow us on Linked In.

The Role

We're looking for a Product Manager to join a focused engineering team building at the intersection of Git, AI agents, and the future of developer workflows. You'll be the second PM on this team, working directly with and reporting to a senior PM, embedded with a group of engineers tackling some of the most interesting problems in developer tooling right now.

This isn't a traditional PM role. It's a role for someone who's genuinely curious about where software development is heading and already leaning into it — someone who uses AI as more than a writing assistant and who's excited to grow into a new kind of PM in a space where that role is still being defined.

What We're Building

The way software teams work is changing faster than their tools. AI agents can now write code faster than any human, but the workflows, interfaces, and infrastructure that surround that code were built for a world where one developer did one thing at a time. Our team is building the tooling that closes that gap: a portfolio of products across the surfaces developers already inhabit that work together to help developers and agents move code through the pipeline faster and with more confidence.

Some of it is already in the hands of early users; some of it is newer and moving quickly. A core part of the work is building shared infrastructure — libraries of CLI and MCP tools that are consumed across all of our products. The tech spans CLI tooling, MCP (Model Context Protocol) servers, APIs, desktop application development, VS Code extensions, and AI agent workflows.

What

You’ll Do

Own the feedback loop with developers. You'll be the team's primary interface with users: conducting interviews, writing and running surveys, synthesizing feedback from testers and early adopters, and turning it into clear, actionable signals for the team. Our users are developers integrating AI agents into serious workflows, and the products they're using touch CLI tools, MCP servers, IDE extensions, and AI chat environments.

You need to be technical enough to have credible conversations with these developers — understanding how they consume APIs, what breaks in their workflows, and what "good" looks like from their perspective. We're not looking for someone who'll grow into this over time; we need someone who can sit down with a senior engineer, ask the right questions about their jobs to be done, and walk away with insights the team can act on.

Help keep engineering unblocked and aligned. This team moves fast. Your job isn't to write exhaustive specs for every ticket; it's to make sure the team always has enough clarity on why we're building something and enough organized work to stay in flow. You'll help maintain that headroom: synthesizing priorities, capturing decisions, and ensuring the vision is legible to the people executing it.

Prototype and validate ideas quickly. We want someone who's already using AI coding tools like Cursor or Claude Code to build rough working prototypes — not polished mockups, but functional enough to test an idea, explore an API integration, or simulate a workflow. You don't need to be a software engineer, but you should be comfortable enough to spin up a quick proof of concept when the fastest way to answer a question is to build something and put it in front of people.

Stay connected across the product org. This team moves fast, but it doesn't work in isolation. You'll be a regular presence in conversations with other PMs and designers across Git Kraken — working through shared problems,…

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