Level

Perplexity

AI Strategist, Legal

Perplexity is hiring an AI Strategist, Legal in San Francisco, United States. It pays $215k-$250k a year and Level rates it ; you can apply on Perplexity.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI product, sales engineering and legal tech.
  • Level classifies it as a senior role.
  • Level lists 131 other open roles at Perplexity.

AI in this role

Lead strategic customer engagements and deployments for legal AI solutions and agentic platforms.

ai-productsales-engineeringlegal-techai-agentsclient-discovery

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made.

Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month—a number that's growing rapidly for one simple reason: everyone can be curious.


About the Role

Perplexity is building the AI platform for professional legal work: Perplexity Computer, our agentic platform that navigates tools, completes multi-step workflows, and connects to the case law, statutes, filings, contracts, and internal documents that legal professionals already rely on, and our API Platform, which powers search, retrieval, and automation across structured and unstructured legal data.

At the center of this is our Applied AI / Forward Deployed motion: we work closely with law firms and in-house legal teams to distill their core legal processes and embed them into bespoke solutions built on our platform. That means sitting with partners, associates, and counsel to understand how they research, review, draft, and advise, then translating those workflows into custom skills, agents, and connector configurations that run inside their daily process—and feeding what we learn back into the product so it compounds across customers.

As an AI Strategist on our Applied AI team focused on the legal vertical, you are the subject matter expert who makes this real for legal professionals. This is a commercial and sales engineering role: you will own strategic customer engagements end to end—leading discovery, defining what to build, demonstrating frontier capabilities against real legal workflows, and driving deployments from first conversation through production and expansion. You are part customer owner, part product strategist, part sales engineer—fluent in both the language of the practice group and the language of the platform.

Responsibilities

Own strategic legal engagements

  • Lead discovery with law firms and in-house legal departments: what matters to the practice, what problems they are solving, and which workflows are worth automating

  • Define scope—what is the right thing to build—and own success metrics, pilot design, and commercial structure

  • Drive deployment and rollout across practice groups and legal departments, with real revenue responsibility alongside Sales

Be the demo and technical proof engine

  • Build and deliver compelling, workflow-specific demonstrations: legal research, contract review and analysis, due diligence, drafting, deposition and discovery summarization, regulatory monitoring

  • Prototype workflows, skills, and connector configurations hands-on in Perplexity Computer and the API Platform to prove value in the customer's own use cases

  • Run pilots and evaluations that hold up to scrutiny from skeptical partners and general counsel

Bring domain judgment to the product

  • Translate how practice groups, legal departments, and legal ops teams actually work into product, connector, and data-partnership priorities

  • Assess whether we have the right research, contract, docket, and document-management integrations to serve each legal segment—and drive the roadmap where we do not

  • Codify repeatable engagement patterns: discovery templates, practice-specific reference workflows, demo libraries, and deployment playbooks

Operate as the commercial lead

  • Own senior relationships with partners, general counsel, and legal-innovation leaders; move engagements through qualification, scoping, proposal, pricing, legal, and close

  • Create urgency, write crisp follow-ups, and know when to push and when to wait

Qualifications

  • 3+ years of direct experience practicing law at a leading firm or in-house—litigation, transactional, or regulatory—or in legal ops / legal innovation with deep workflow exposure; you have run diligence, drafted and negotiated agreements, and lived the workflows you will now automate

  • 5+ years of total experience spanning legal and some combination of technical GTM, sales engineering, solutions architecture, AI product strategy, or applied AI with customer exposure

  • Deep fluency in legal workflows: research, contract review, diligence, drafting, discovery, regulatory analysis, and matter management

  • Strong intuition for AI products, agents, and workflows, with the ability to understand technical systems without needing every detail pre-digested

  • Demonstrated ability to turn ambiguous customer problems into scoped, executable deployment plans with clear success metrics

  • Strong commercial instincts and comfort operating with partners, general counsel, CIOs, and heads of innovation

  • Excellent written and verbal communication; able to write proposals, customer memos, technical scopes, and launch narratives

  • High agency and low ego, with the ability to run multiple complex customer workstreams in parallel and make progress before the playbook exists

Nice-to-Haves

  • JD and bar admission

  • Hands-on experience building with agentic systems, tool-use workflows, MCP, or LLM APIs

  • Working knowledge of legal technology platforms: Westlaw, LexisNexis, iManage, NetDocuments, Relativity, Ironclad, or similar

  • Experience selling or deploying technology into law firms or regulated enterprises, including outside-counsel guidelines, privilege, and security review

  • Founder or early-startup operating experience

  • Strong network across AmLaw 100 firms and Fortune 500 legal departments

If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

How we rate this

AI Strategist, Legal at Perplexity rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ProductSales EngineeringLegal TechAI agentsClient Discovery

Questions you could be asked

  1. How do you decide which parts of a product should use AI versus a fixed set of rules?
  2. Tell me about a project where sales engineering was part of your work. What did you do?
  3. Tell me about a project where legal tech was part of your work. What did you do?
  4. How do you decide when an AI agent can act on its own versus asking for approval first?
  5. Tell me about a project where client discovery was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Product, Sales Engineering, Legal Tech, AI agents, and Client Discovery. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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