60 Match Group Jobs Hiring Near You

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.

Success in this role is about novel legal capabilities created and adopted — not process or operational metrics.

• Number and quality of AI capabilities shipped: tools that the Tinder legal team actually use and rely on, not pilots that gather dust.

• Speed and rigor of experimentation: how quickly and reliably the team can move from idea to evaluated prototype.

• Categories of legal work meaningfully shifted from "humans only" to "AI-with-humans" or "AI-only."

• Adoption of capabilities built within Tinder Legal, with early signals of readiness to extend to other Match Group Legal teams as the pilot matures.

• Sustained quality: tools remain current, maintained, and performing as the underlying models and legal landscape evolve.

• 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.

• 4+ years of relevant experience building, deploying, or applying AI products and tools — at an AI-forward technology company, a startup, a law firm innovation team, or in-house.

• Hands-on experience with modern AI techniques: prompting, agentic workflows, retrieval-augmented generation, evaluations, and the basics of fine-tuning or model selection.

• Strong technical fluency: comfortable configuring platforms, working with APIs and data, and reasoning about integrations, permissions, and guardrails.

• A track record of shipping — getting things into the hands of real users, learning from how they're used, and iterating.

• Excellent communication and collaboration skills across legal, technical, and business audiences. You are a teacher and can bridge the gap between technical and plain language vocabulary. 

• Experience building AI products in regulated, compliance-sensitive, or high-stakes domains (legal, healthcare, financial services, trust & safety).

• Experience in a "legal engineer," "legal AI engineer," "legal solutions architect," "legal technologist," or "applied AI engineer" role at a law firm, tech company, or AI lab.

• Comfort with a pilot model: building something new within a defined team, measuring it rigorously, and helping make the case for broader rollout if it works.

AI is changing what's possible in legal practice on a timeline measured in months, not years. This role is our bet that the right way to capture that opportunity is to put a dedicated builder inside the legal team and have them ship.

For the right person, this is an unusually open mandate: real problems to solve, lawyers and leadership who want to lean into AI, and the freedom to define what an AI-native legal function actually looks like — starting at Tinder, with a clear path to broader impact if the pilot succeeds.

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. This salary range is reflective of Los Angeles, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.