Product Manager - AI Platform
Posted Jun 17 · 0 applicants
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The role in plain words
As a Product Manager for the AI Platform, you will own a specific product pillar end-to-end alongside a team of engineers and designers. You will define the product roadmap by analyzing customer needs and usage data, design deliberate developer experiences across UIs and APIs, and collaborate across departments to ensure successful product launches. Your focus will be on building intuitive interfaces and reliable context layers for both human developers and AI agents.
- 4+ years in product management across at least two companies or roles, with a track record of shipping products that developers or technical users rely on
- Shipped an AI-powered product into production
- Technically grounded with experience experimenting with APIs, MCP, CLI, and similar surfaces
- Obsessed with developer experience across UI, API, chat, or CLI interfaces
- Analytical mindset using qualitative and quantitative data to drive decisions and define success metrics
Extracted from the job description · kept up to date automatically
Who this suits
This role suits product managers with at least four years of experience who have successfully shipped AI-powered products and are comfortable working with technical surfaces like APIs, MCPs, and CLIs. It is less ideal for those who prefer high-level strategy without getting hands-on with technical details, data analysis, and daily AI tools.
Full job description
Original listing · kept for referenceAbout Port At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum. We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents. By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability. As a product-led company, we believe in building platforms that fundamentally shape how modern engineering organizations operate. About the role At Port, we've taken a platform-first, builder mindset from day one, developing the modular building §blocks we call pillars. Our users are exceptional engineers who continuously build creative and unexpected solutions with our platform. Being a PM here means embracing that creative tension while staying relentlessly focused on where the platform needs to go next. As a PM at Port, you'll own a pillar end-to-end alongside your team of engineers and designers. You'll build and evolve it as a standalone value stream and as a connected part of the broader platform. PMs at Port are full picture owners: they shape the story of their pillar from market positioning to technical enablement, defining success not just by what gets shipped, but by the measurable impact it delivers. What you'll do • Define what to build and why. Go deep with customers, analyze usage data, and research the competitive landscape. Bring that view to your team, build a sharp perspective on what's worth building next, and communicate the reasoning to engineering, leadership, and the market. • Shape experiences engineers choose to use. Port’s developer experience spans the entire ecosystem across the UI, API, CLI, and daily chat and coding interfaces. Work closely with design and engineering to make each surface deliberate, from the first wireframe through launch. • Drive cross-functional impact. At Port, PMs don't hand off and wait. You work across engineering, design, marketing, sales, and CS throughout the full product cycle, accountable for picking the right problem, the solution built, and whether the launch lands. • Build for agents and developers. Port is the context and action layer for both. Shape your domain so agents can act on it reliably and developers can navigate it intuitively. Understand the tradeoffs in how data, APIs, and interfaces serve both. Separate the signal from the hype, and use that view to sharpen your roadmap. • Measure what matters. Define success metrics before you ship. Track adoption, analyze what's landing, and iterate until the outcome is real.
Requirements: • 4+ years in product management across at least two companies or roles, with a track record of shipping products that developers or technical users rely on. • Shipped an AI-powered product.You know what it takes to get an AI product or feature into production at a quality bar that users trust. • Technically grounded. You've experimented with APIs, MCP, CLI, and similar surfaces. You can think like the engineer you're building for and hold your own in technical conversations. • Obsessed with experience. You care deeply about how something feels to use, not just what it does. Whether it's a UI, API, chat, or CLI interface, you've worked closely with designers and engineers to make each surface right, and pushed back when something wasn't good enough. • Analytical. You work with both qualitative and quantitative data to drive decisions. You define success metrics before you ship and use them to decide what to do next. • Hands-on with AI. AI tools are part of your daily workflow. You have a real thesis on where AI for developers is heading, and you can articulate why. • Strong communicator. You explain product decisions clearly, inspire the team around a direction, and can tell the story of what you're building to customers and executives alike. • Collaborative by default. You share credit, ask for input, and make the people around you better. You've pulled a team forward on something hard, not just contributed to it.
Questions about this role
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- Hybrid
- 4+ years in product management across at least two companies or roles, with a track record of shipping products that developers or technical users rely on, Shipped an AI-powered product into production, Technically grounded with experience experimenting with APIs, MCP, CLI, and similar surfaces, Obsessed with developer experience across UI, API, chat, or CLI interfaces, Analytical mindset using qualitative and quantitative data to drive decisions and define success metrics