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Product Manager, Developer Platform

Aisle

Netherlands Remote permanent

Posted: October 23, 2025

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Quick Summary

Product Manager, Developer Platform

Job Description

Why Aisle?

Aisle is redefining how enterprises secure their software with an AI agent for autonomous vulnerability remediation. Vulnerabilities are the #1 root cause of cyber incidents, yet most organizations take weeks or months to patch what attackers exploit in days. We’re changing that.

Our mission is to protect democratic societies from the most sophisticated cyberattacks. We do that by giving organizations - including those operating critical infrastructure - the power to harden their systems and resolve security issues at superhuman speed and scale. Backed by world-class founders and advisors, we’re creating a new category in cybersecurity at the intersection of AI, automation, and enterprise resilience.

We’re a small, talent-dense team spread across the US, Europe, and Israel. We value high ownership, high velocity, and low-ego collaboration. If you want to work with world-class minds in AI and security, thrive in fast-moving environments, and care about solving one of the toughest challenges in tech, Aisle is the place for you.

You'll own how developers interact with our security platform across their entire workflow—from PRs and IDEs to CLI tools and APIs. Working at the intersection of developer experience and security automation, you'll define how engineering teams consume AI-generated security fixes without leaving their existing environments.

This role requires deep understanding of developer tooling ecosystems and a keen eye for creating integrations that developers actually want to use rather than route around.

What you’ll do

• Own product strategy for developer platform—spanning PR integrations, IDE plugins, CLI tools, SDKs, APIs, and workflow automation

• Define product roadmap based on how developers work today and where security friction exists in their daily flow

• Analyze developer tooling landscape to identify integration opportunities and adoption patterns

• Drive innovation in making AI-generated security fixes transparent, trustworthy, and actionable for engineering teams

• Work directly with developers and engineering teams to understand their tools, workflows, and integration requirements

• Partner with engineering to deliver platform capabilities that feel native to developer environments

• Balance automation with developer control—ensuring security fixes enhance rather than interrupt productivity

• Drive key metrics around developer adoption, PR merge rates, integration usage, and developer NPS

• Operate independently—justify your strategy, make decisions with limited oversight, and drive execution

What we're looking for

• 2+ years in product management for developer tools, DevOps platforms, or technical products with engineer end-users

• Deep understanding of developer workflows and tooling—you know git, CI/CD pipelines, IDE ecosystems, and how developers actually work

• Platform thinking: Experience designing APIs, SDKs, CLI tools, or developer integrations that meet users in their existing environments

• Developer tooling expertise: You understand how developers adopt new tools, what makes integrations seamless, and where friction kills adoption

• Independent operator: Proven ability to work autonomously, justify strategic decisions, and drive execution without constant oversight

• AI/LLM systems experience preferred—understanding how to make AI outputs trustworthy and actionable for technical users

• Product management fundamentals: Proven ability to learn from customers through research, interviews, and data

• Startup mindset: Make decisions fast, iterate, and thrive in ambiguity

Bonus points

• Previous experience as software engineer, DevOps practitioner, or platform engineer

• Shipped developer platforms, SDKs, CLI tools, or IDE extensions at scale

• Experience with developer communities, open-source contribution, or technical advocacy

• Familiarity with AI-assisted coding tools and developer AI adoption patterns

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