Internal AI Job Board

Principal, Applied AI Enablement, Legal

Match Group - West Hollywood, California

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: $150,000 - $220,000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered

Responsibilities

• The Principal, Applied AI Enablement role sits at the intersection of legal practice and applied AI — closer to an in-house R&D function than a traditional legal team role. This is a role for a tech-forward, innovative, engineer or product builder. You will identify where AI can do legal work that humans do today — or work humans simply cannot do at scale — prototype and ship AI tools and agents to handle it, and iterate with lawyers in the loop until those tools become a real part of how the function operates.
• This role is about applying AI to the substance of legal work: the research, analysis, judgment calls, contract review, and regulatory tracking that lawyers do every day.
• This is not a role about optimizing existing processes or rolling out off-the-shelf legal tech. It is a role about building things that didn't exist before — prototyping quickly, evaluating rigorously, and shipping the ones that work.
• The role sits within Tinder Legal. You'll work with Tinder Legal leadership and team as your primary domain experts and end users, and partner with engineering, product, and other technical teams where deeper infrastructure is needed. Where capabilities you build prove valuable, there is potential to extend them more broadly — first to other Match Group Legal teams, and ultimately across the portfolio.

Qualifications

• A builder at heart — you'd rather ship a rough prototype this week than write a perfect spec for one to be built next quarter.
• Equally comfortable talking with lawyers about risk and with engineers about data models, APIs, and configuration trade-offs.
• Hands-on experience with applied AI — prompting, agents, evaluations, RAG, fine-tuning — and a genuine curiosity about where models are headed.
• Pragmatic and business-oriented: you care less about technical purity than about shipping things that genuinely improve what the legal team can do.
• Comfortable with the fact that the underlying models, tools, and best practices will keep changing — and energized rather than frustrated by that.
• Honest about what AI can and can't do today; you don't oversell AI to lawyers, and you don't undersell it to skeptics.
• A curious and respectful change agent - you move fast and push for meaningful improvement, while taking time to understand existing frameworks, tooling, workflows, and stakeholder functions — bringing empathy and collaboration to applied AI.

Apply on the original posting