Legal Product Specialist
New York
Harvey
Harvey builds custom LLMs for elite law firms to tackle the most complex legal challenges across every practice area, jurisdiction and legal system in the world.Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:
Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.
Strategic investors: Raised over $200 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and the OpenAI Startup Fund.
World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.
Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
Performance: $0-30M ARR in the last 18 months.
Compensation: Top of market cash and equity compensation.
As a Legal Product Specialist within the Customer Success organization at Harvey, you will own value realization for Harvey’s end users – attorneys and partners at the world’s leading law firms. Your experience as a working attorney will help you to identify customer-centric use cases for how Harvey can transform the practice of law.
You will also play a key role in understanding customer needs which will help shape the future of Harvey’s product solutions. As the Harvey product evolves, you will play a central role in keeping Harvey users up to speed on how to use Harvey optimally.
What You'll DoOnboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions.
Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work.
Relationships: Build strategic relationships with key partners and influential attorneys within Harvey customer organizations, driving advocacy and adoption.
Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI.
Expansion and Renewal: Collaborate with CSMs and Account Executives to maintain high adoption rates of Harvey and to drive expansion readiness.
Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform.
3+ years as a practicing attorney
Adapting seamlessly in the face of high-speed change and growth
Managing customer-facing projects and timelines
Running in-person meetings w/ executives
Mapping an organization and influencing stakeholders
Driving key customer metrics and outcomes
Demonstrating a strong point of view and proactive self-management
Working cross-functionally with Product and Sales teams
Creative approach to building generative AI strategies for lawyers
A chance to be at the forefront of AI technology at the application layer
Innovation, directly impacting how our clients' businesses operate and thrive
An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes
A collaborative work environment that promotes growth, learning, and development
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Tags: Engineering Finance Generative AI LLMs OpenAI Research
Perks/benefits: Career development Equity / stock options Startup environment
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