Anthropic

Anthropic

Discovery Technical Operations Specialist

San Francisco, CA | New York City, NY · Senior

H1B sponsorship available$170k-$220kDetected 10 days ago
AWSGCPData EngineeringNLPLLMsProduct ManagementProject ManagementLogisticsResearchCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly.
  • This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world.
  • The right person for this role will be equal parts technical operator and operational project manager.

Responsibilities

  • Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types)
  • Support the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release
  • Support and improve the discovery technology stack including RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces
  • Partner with discovery team, in-house counsel, outside counsel, vendors, and internal technical teams
  • Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path
  • Improve and support the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders
  • Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel
  • Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status
  • We think AI systems like the ones we're building have enormous social and ethical implications.

Requirements

  • A track record of supporting complex discovery operations functions
  • Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, AI/TAR workflows, custom application development, and AI workflows
  • Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows
  • Experience operating discovery across modern enterprise data sources Slack, Google Workspace, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection
  • Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision
  • Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders
  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
  • Years of experience required will correlate with the internal job level requirements for the position

Nice to have

  • 6+ years of hands-on discovery experience across the full EDRM lifecycle
  • Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI
  • Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful
  • Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources
  • Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation
  • Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools

Compensation

  • $170,000 - $220,000 USD

Company info

  • We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
  • At Anthropic we work as a single cohesive team on just a few large-scale research efforts.

Visa & Work Authorization

  • We do sponsor visas!
  • However, we aren't able to successfully sponsor visas for every role and every candidate.
  • But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.