Platform Integrations, Marketplace Quality Assurance Operations Manager
New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WAFull-TimeManagerOperations
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
- We are seeking a Quality Assurance Operations Manager to drive QA for third-party integrations at Anthropic. You will build and scale the review processes that ensure plugins, agent skills, and MCP servers meet our standards for security, functionality, and trustworthiness. This role is critical to enabling users to engage with our ecosystem with confidence—and to maintaining Anthropic's leadership position as the integrations ecosystem rapidly expands.
Quality Assurance & Review
- Execute and scale review processes for MCP servers, plugins, and agent skills—ensuring integrations meet standards for security, functionality, and user safety
- Conduct hands-on testing and validation of integration submissions, identifying issues related to authentication, error handling, and functionality
- Implement risk assessment frameworks for evaluating new integration capabilities and use cases
- Coordinate directory removals and compliance enforcement when violations occur
Scalable Process Development
- Manage operational processes to handle high-volume submissions efficiently while maintaining quality
- Maintain automated QA frameworks and tooling to scale review capacity without sacrificing thoroughness
- Drive the roadmap for transitioning from manual to automated review systems
- Partner with Engineering teams on automation opportunities and technical requirements
Cross-Functional Coordination
- Serve as liaison with Product, Engineering, Legal, and Safeguards teams on integration reviews and escalations
- Handle developer communications for submission feedback, rejections, and remediation guidance
- Coordinate with Business Development on priority partner integrations and commitments
- Establish review metrics and reporting to track ecosystem health and review quality
You may be a good fit if you have
- 4+ years of experience in QA, marketplace operations, or trust & safety
- Technical familiarity with APIs, authentication protocols (OAuth, bearer tokens), and integration testing
- Hands-on experience with software testing methodologies and quality assurance processes
- Strong attention to detail and ability to identify edge cases and potential issues
- Proven ability to scale operations through process design and automation
- Comfort with cross-functional collaboration in complex, fast-moving environments
- Experience with developer platforms, app stores, or marketplace operations (preferred)
- Familiarity with security review processes or vulnerability assessment (preferred)
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
