Product Manager, Cloud Agents

Anysphere, Inc

$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in product management for developer tools or AI applications
  • Strong understanding of distributed systems
  • Excellent product intuition for enhancing developer experience
  • Technical proficiency in reading PRs and interpreting architecture
  • Company requires fast decision-making even with incomplete information
  • Clear communication skills for team alignment
  • Experience using AI coding tools actively

Responsibilities

  • Own the product experience for autonomous cloud agents
  • Design the end-to-end task handoff process for developers
  • Manage the orchestration model for agents including retries and error recovery
  • Define the artifacts and output formats generated by agents
  • Shape deployment models for self-hosted and enterprise customers
  • Establish success metrics such as task completion and time-to-value
  • Define the transition UX between cloud and local agents

Benefits

  • Flexible work locations in San Francisco or New York
  • Work with cutting-edge AI technology
  • Opportunity to shape the future of AI software development
  • Collaboration with a team focused on innovative product solutions
Full Job Description
Product Management • Full-time • San Francisco; New York
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About the role

Cursor is entering the third era of AI software development. Developers no longer write most of their code-they direct fleets of agents that do. More than a third of the PRs we merge internally are created by agents running autonomously in cloud VMs.

As a Product Manager for Cloud Agents, you will own the product that makes this possible. Cloud agents run on their own virtual machines, take on tasks over hours, iterate and test independently, and return with something quickly reviewable: logs, video recordings, and live previews rather than diffs. Your job is to make this loop fast, trustworthy, and worth relying on for real work.

This means owning how agents are provisioned, orchestrated, and monitored. It means designing the experience that lets a developer hand off a task and move on to the next one. It means making the output legible enough that reviewing an agent's work takes minutes, not an hour of reconstructing what happened.

Example projects include...
  • Designing the task handoff experience end-to-end: how a developer describes what they want, how much context the agent receives, how the system handles ambiguity, and how the developer moves on without worrying about it.
  • Owning the agent orchestration model: sandboxing, parallelism, retries, error recovery, and resource allocation. Cloud agents compete for compute-you'll decide how that works.
  • Building the artifact and review layer: agents return logs, screenshots, video recordings, and live previews. You'll define what artifacts agents produce, how they're surfaced, and how developers verify output without reconstructing each session from scratch.
  • Shaping the self-hosted and enterprise deployment model: some customers need agents running entirely inside their network. You'll work with security and solutions to design deployment models that meet those requirements without fragmenting the product.
  • Instrumenting success: task completion rate, time-to-value, cost-per-task, developer trust. Building the measurement layer so the team knows where to invest.
  • Defining how cloud and local agents hand off to each other: developers move sessions between cloud and local depending on what they need. You'll own the UX for that transition.

You may be a fit if
  • You have shipped developer tools, infrastructure products, or AI-powered applications as a product manager.
  • You understand distributed systems well enough to have real conversations with engineers about orchestration, sandboxing, and reliability.
  • You have strong product intuition for developer experience. You know when something feels right and when it doesn't.
  • You are deeply technical. You don't need to write production code, but you can read a PR, reason about an architecture diagram, and form opinions about tradeoffs.
  • You are comfortable making decisions with incomplete information and iterating fast.
  • You communicate clearly-written and verbal-and can align a team around a direction without a 40-page PRD.
  • You use AI coding tools regularly and have strong opinions about what's working and what isn't.

#LI-DNI

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