Product Manager, Legal

Details

In 2026, Perplexity launched Computer, a product for the new era of agentic AI. Perplexity has scaled beyond millions of daily users researching, shopping, investing, and exploring with AI. Thousands of attorneys, Am Law firms, and corporate legal teams already use Perplexity every week, making Legal a key enterprise vertical.

The Product Manager will build and scale Perplexity's Legal vertical from the ground up. Product Managers work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Applicants should highlight a product, workflow, or agent system they have built, or a specific legal problem they believe AI is uniquely positioned to solve.

The Role

Legal work requires high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. The role will focus on accuracy, source authority, document fidelity, enterprise governance, speed, and simplicity.

As the dedicated product owner for Perplexity's Legal vertical within the AI Capabilities & Verticals Product Management team, this role will shape how Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts work together for litigators, transactional counsel, and in-house legal teams. The Product Manager will partner with Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with law firms and legal departments, and scale Legal into a flagship enterprise business.

Responsibilities

• Own the Legal vertical roadmap end-to-end, including product strategy for litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows.
• Translate attorney pain points into modular capabilities that benefit the broader platform.
• Build legal product surfaces such as structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs, DOCX files, and spreadsheets, precision redlining and document comparison, and workflows inside Microsoft Word, Outlook/email, and Slack.
• Expand the legal data and connector ecosystem by integrating authoritative legal research sources and systems of record across DMS, VDR, CLM, e-discovery, and practice management platforms, including LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, and Clio.
• Design legal Skills, Plugins, Teammates, tailored onboarding flows, domain-specific workflows, and onboarding that incorporates clause playbooks, precedent templates, and drafting conventions.
• Establish benchmarks and evaluation harnesses for citation fidelity, retrieval recall, tabular extraction, and redline quality.
• Develop enterprise controls for permissions, matter-level governance, and data handling in partnership with AI Research and Engineering.
• Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls, and convert customer blockers into shipped product.
• Partner with Sales, Applied AI, and Product Marketing on demos, case studies, and self-serve and enterprise growth loops.

Requirements

• 1–4+ years of experience in product management, founding or early-stage product building, forward-deployed product or solutions, or a high-intensity analytical or operating role such as startup operations, strategy consulting, or investment banking, paired with hands-on product shipping.
• A JD or formal legal degree is not required, but genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential.
• AI-native builder who actively builds with LLMs and agents and is comfortable writing and tuning prompts and Skills, prototyping end-to-end workflows, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems.
• Analytical and data-fluent, with the ability to write SQL, create cohorts, instrument failure modes, run guarded experiments, and combine warehouse metrics with qualitative user research.
• Strong written and verbal communication skills.
• Comfortable moving from customer conversations with Am Law firms to writing product specifications with engineers and shipping iterations quickly.
• High-ownership operator who thrives in a small, agile, low-ego team with evolving processes.

Nice to Have

• Experience building or operating at a legal AI, legal technology, e-discovery, CLM, or vertical enterprise AI company, or working directly with law firms and corporate legal departments.
• Familiarity with legal workflows and tooling such as litigation cite-checking using Shepard's or KeyCite, M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins.
• Technical foundation in computer science, engineering, or data science, or dual technical/business training.
• Comfort reading API documentation, MCP/connector schemas, and system architectures.

Benefits

Full-time U.S. employees receive benefits including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more. USD salary ranges apply only to U.S.-based positions. Final offer amounts depend on factors including experience and expertise.