Staff PM, Vault: Enterprise AI Knowledge Platform

Harvey; California (MO); On-site; USD 178,000 - 267,000; Full time

Job summary

Harvey is seeking a Staff Product Manager for Vault to own the product vision and roadmap for our document and knowledge management platform. You will lead cross-functional teams across engineering, design, AI/ML, and GTM to ship features that securely store, organize, search, and leverage institutional knowledge within Harvey's AI ecosystem.

You will collaborate with customers and success teams to translate needs into updates, drive enterprise integrations with iManage, SharePoint, Dropbox, and

Qualifications

• 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company.
• Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains.
• Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures.
• Experience building products that handle sensitive data with robust security, compliance, and access control requirements.
• Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives.
• Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity.
• Strong product sense and attention to detail—ability to think through both high-level strategy and nitty-gritty implementation details.

Responsibilities

• Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments.
• Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration.
• Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems.
• Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements.
• Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers.
• Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact.
• Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities.
• Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales.

Skills

8+ years product management

Staff/Senior PM experience

Enterprise SaaS

Technical acumen

Security/compliance

Excellent communication

Ambiguity-driven clarity

Tools

APIs

SSO/SCIM/OAuth

DMS integrations

Job description

Harvey is seeking a Staff Product Manager for Vault to own the product vision and roadmap for our document and knowledge management platform. You will lead cross-functional teams across engineering, design, AI/ML, and GTM to ship features that securely store, organize, search, and leverage institutional knowledge within Harvey's AI ecosystem.

You will collaborate with customers and success teams to translate needs into updates, drive enterprise integrations with iManage, SharePoint, Dropbox, and