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Harvey

Builds AI software for lawyers

Staff Solutions Architect - Public Sector

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • At least 7 years of experience in solutions architecture, sales engineering, forward-deployed engineering, or a similar customer-facing technical role.
  • Direct experience selling to or supporting U.S. federal customers, including Department of Defense and/or civilian agencies, at a SaaS or cloud provider, including navigating agency security reviews and procurement.
  • Working knowledge of federal compliance frameworks and their deployment implications, including FedRAMP, NIST 800-53, DoD Impact Levels, and ATO processes, with the ability to explain them to CISOs and program managers.
  • Hands-on depth in SaaS security and identity architecture, including SSO/SAML, SCIM, encryption and key management, data residency, and audit logging.
  • Ability to communicate clearly with technical and non-technical audiences, including program managers, attorneys, CISOs, and enterprise architects, and credibility with senior public-sector stakeholders.
  • Hands-on engagement with modern AI systems, including large language models, prompt design, evaluation, and deployment patterns, and interest in helping agencies adopt them responsibly.
  • Comfort operating in an emerging practice area, building new playbooks amid ambiguity and pursuing real-world impact on public services.

Responsibilities

  • Lead technical discovery and solution design for federal prospects and customers, including defense and civilian agencies, working with legal, IT, security, acquisition, and program stakeholders.
  • Design, document, and defend secure, compliant architectures for Harvey in government environments, including its FedRAMP High environment, identity and access patterns, integrations, and data-handling requirements such as CUI, records retention, and auditability.
  • Own the technical thread on a focused portfolio of high-impact federal accounts from first conversation through rollout, adoption, and expansion.
  • Partner with Security & Trust on agency security reviews, covering FedRAMP High controls, DoD Impact Levels, ATO and authorization boundaries, and NIST 800-53, and translate requirements for program owners and counsel.
  • Work with Legal Engineers and Customer Success Managers to turn agency workflows and legal or policy use cases into concrete solutions, reusable patterns, and implementation playbooks.
  • Synthesize field feedback for Harvey to inform the roadmap, evaluation criteria, deployment options, and government-specific documentation.
  • Represent Harvey's technical perspective in public-sector forums, including customer workshops, working groups, and stakeholder briefings, and help agencies understand the possibilities and limitations of current AI systems.
  • Build the public-sector Solutions Architecture playbook covering qualification, security review, deployment patterns, and enablement so the practice can scale.

Desired Qualifications

  • Prior government service or military experience.
  • Experience with Azure Government or other government cloud environments.
  • Experience selling through federal systems integrators or contract vehicles.
  • Background in legal, e-discovery, or other document-heavy enterprise workflows.

About the Company

Harvey

Builds AI software for lawyers

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2022

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