Product Manager, Growth & Developer Experience

Posted One Month Ago
2 Locations
Remote
Entry level
Artificial Intelligence • Cloud • Information Technology • Software
The Role
Own Keycard’s end-to-end customer evaluation journey and developer experience across SDKs, CLI, console, documentation, and templates. Define evaluation milestones and metrics, instrument onboarding, reduce time to first credential exchange, and convert field-engineering processes into self-guided product experiences. Partner with engineering, DevRel, marketing, sales, and customers to improve adoption, run experiments, and incorporate evaluator feedback into the roadmap.
Summary Generated by Built In
About Keycard

At Keycard, we're building identity and access infrastructure for the agent-native era, where software isn't static but a dynamic, constantly changing system of AI agents working on behalf of people and businesses. Keycard gives every agent a verified identity and issues short-lived, task-scoped credentials at runtime, so agents can only do what they were asked to do, and every action is fully auditable. We're backed by a16z, Boldstart, and Acrew, and our founding team built and scaled Snyk, Auth0, HashiCorp, and Heroku.

The role

We're hiring a Product Manager to own how teams evaluate Keycard, and the developer experience they meet when they do.

Keycard is a control plane for agents: identity, credential exchange, delegation, policy, and audit. Every customer starts with an evaluation, and today a field engineer runs each one by hand: setup, first credential exchange, integration questions. Your job is to turn that walkthrough into product, so an evaluation can run well without us in the room.

You'll define what a successful evaluation looks like for an agent-identity product, instrument the journey so we can see where evaluators stall, then work with engineering to fix the worst spots. Sometimes the fix is a feature, more often it's a better quickstart, a template repo, an error message that says what to do next, or a docs page that assumed too much context.

Expect to spend real time with the people running evaluations: watching onboarding sessions, sitting in on field-engineering walkthroughs, reading support threads, and finding out why a team went quiet mid-eval.

What you'll do
  • Own the evaluation journey end to end, from first touch through first credential exchange to a production decision, including how each stage is defined and measured.

  • Set the evaluation milestones and metrics that product, engineering, and go-to-market all report against.

  • Own the developer experience an evaluation runs on: SDK quickstarts, CLI onboarding, console setup, docs, and template repos.

  • Drive time-to-first-credential-exchange down, and be the voice of developer ergonomics in engineering's API and CLI design discussions.

  • Turn what field engineering does by hand into self-guided paths: eval guides, reference architectures, in-product guidance. Run experiments and cut the ones that don't work.

  • Work with DevRel and marketing on how evaluations start, and with sales and field engineering on when a self-guided eval needs a human in the room.

What we're looking for
  • You've been a PM on a developer product where evaluation and adoption were your numbers (dev tools, infrastructure, API platforms, or security).

  • Technical enough to be credible with engineers. You can read an SDK quickstart and see where a developer would bounce, follow an API design discussion, and pull your own numbers in SQL or an analytics tool.

  • You have taste in developer experience. You can articulate why one CLI feels good and another doesn't, and you notice error messages, defaults, and docs structure the way a designer notices spacing.

  • You build with AI tools yourself and follow the agent ecosystem closely enough to have real opinions about it.

  • You start from instrumentation. If the data you need doesn't exist, you get it added before forming theories about where evaluations drop off.

  • Comfortable in a category with no playbook. Agent identity is new, and a lot of this job is deciding which questions are worth answering.

  • You write clearly. Much of this role's output is docs, problem statements, and experiment readouts that other people act on.

Strong candidates may also have
  • An engineering background before product; you've shipped code and understand what you're asking engineers to do.

  • Experience productizing a high-touch motion: turning field playbooks, POC guides, or solutions-engineering work into product.

  • Familiarity with identity/auth concepts (OAuth, OIDC, token exchange, delegation) or agent protocols (MCP, A2A).

  • Experience with growth tooling: product analytics, experimentation frameworks, lifecycle messaging.

  • Docs, quickstarts, or templates you shipped that developers actually used.

Who will love this job
  • You'd rather ship a fix this week than present a strategy deck about it next month.

  • You treat quickstarts and docs as product surfaces that deserve real design attention.

  • You want to define the evaluation motion for a new category from scratch.

  • You like being early: small team, direct access to founders and customers, no layers between you and what ships.

What We Offer
  • Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn’t been built before. You’ll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed.

  • Truly Agent-Native Culture: At Keycard, we don’t just enable others to adopt agents — we use them ourselves to build. You’ll help shape an organization that embeds AI into its foundation as an enduring competitive advantage.

  • Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission.

  • Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge.

  • Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows.

  • Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you’re strongest — we just want the best.

Skills Required

  • Experience as a product manager for a developer product where evaluation and adoption were key metrics, such as developer tools, infrastructure, API platforms, or security products.
  • Technical credibility with engineers, including the ability to read SDK quickstarts, participate in API design discussions, and retrieve metrics using SQL or an analytics tool.
  • Strong developer experience judgment, including understanding CLI usability, error messages, defaults, and documentation structure.
  • Hands-on use of AI tools and familiarity with the agent ecosystem.
  • Instrumentation-first approach to product analysis and willingness to add missing data before forming hypotheses.
  • Comfort working in a new category without an established playbook.
  • Clear writing skills for documentation, problem statements, and experiment readouts.
  • Engineering background with shipped code.
  • Experience productizing high-touch motions such as field playbooks, proof-of-concept guides, or solutions-engineering work.
  • Familiarity with identity and authentication concepts such as OAuth, OIDC, token exchange, or delegation.
  • Familiarity with agent protocols such as MCP or A2A.
  • Experience with growth tooling, product analytics, experimentation frameworks, or lifecycle messaging.
  • Experience shipping documentation, quickstarts, or templates used by developers.
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The Company
12 Employees
Year Founded: 2025

What We Do

Keycard is on a mission to redefine machine identity for the Internet—helping developers seamlessly connect people, agents, and services across networks, clouds, and applications. As AI-driven workflows grow more complex, Keycard’s dynamic, identity-based credentials ensure every agent and service operates with precise, contextual permissions. We’re building a global identity network backed by open protocols—empowering distributed systems to adapt, scale, and maintain cryptographically verifiable trust. By rethinking secret management from first principles, we aim to delight developers, meet the performance needs of platform engineers, and set a new standard for cloud-era security in an inclusive, collaborative environment.

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