We’re building the applied AI platform for consumer law.
Legal is the largest services market in the global economy, and consumer law drives tangible, customer outcomes. Our purpose-built platform combines AI agents and legal operators to reduce manual work, enabling firms to serve far more people and expand access to justice. 77% of Americans who'd benefit from a lawyer never get one and we’re broadening how technology impacts real life outcomes.
We’ve started with consumer law (a $120B+ market), and demand has come fast: more than 150 firms run on Finch; we're growing 1,000%+ year-over-year.
Finch was founded by a team of technologists and operators from backgrounds across scale-ups, legal operators, enterprise software, and financial institutions, and law firms. We’re backed by top VCs like Sequoia and Redpoint, and consistently looking to add top talent who wants to build in AI.
Explore life at Finch for more.
Hi there, I’m Viraj, co-founder of Finch.
We’re building the operational engine that powers the best consumer law firms in the country. Strategy & Operations sits at the center of that work: you identify our most important problems and opportunities, then build and test the workflows, playbooks, and systems that help us grow.
How to think about applying: We’re almost always looking for great people to join this team, so you’ll see several similar postings. The core profile, scope, and interview process are the same. You only need to apply once – all applications are reviewed together.
Take an ambiguous business problem, question the assumptions, and define the metric that will tell us whether you’ve solved it.
Test ideas quickly and build a useful process, tool, or automation. Scope larger product work with engineering and ship smaller improvements yourself.
Own the result through adoption and iteration, then make the system work reliably without depending on you.
2–5 years in a problem-solving role such as consulting, BizOps, strategy, or tech, with evidence of learning quickly in unfamiliar domains.
Built and shipped a tool, workflow, or automation that people actually use.
Strong quantitative judgment and the ownership to define the problem, measure progress, and see a solution through.
Built with AI tools such as Claude.
Worked at an operations-heavy startup.
Partnered closely with engineers.
You prefer a defined roadmap and success metrics before getting started.
Your work ends with a presentation or recommendation.
You prefer handing off implementation to owning whether the solution works.
All S&O applicants go through the same interview process:
Intro: An initial conversation about your background, motivation, and the role.
Interview: A deeper conversation about how you solve ambiguous problems, build systems, and drive work across teams.
Case Assignment: A practical exercise exploring your approach to an operational problem, from diagnosis and prioritization to implementation and measurement.
Onsite: A visit to our NYC office to meet the team, explore the work together, and have lunch.