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Eve is a legal tech platform using AI to help plaintiff law firms handle more cases and recover more for clients. The company has achieved product-market fit with 1000+ law firms, raised $160M from top investors (Spark Capital, A16z, Menlo Ventures, Lightspeed), and is growing 2X revenue quarter-over-quarter. The team includes engineers and operators from Scale, Meta, Airbnb, Cruise, Square, and Lyft.
You'll be the analytical engine behind Eve's growth motion—not just reporting data, but acting on it. You'll own measurement across activation, adoption, retention, and expansion, while bringing a pricing and monetization lens to growth work. This is a hands-on role where you'll spot where users stall or pricing leaves money on the table, propose fixes, build tooling to test them, and push changes through to shipping.
Key responsibilities include: owning growth and product analytics end-to-end (instrumentation, metric definitions, activation/retention/expansion models); analyzing pricing, packaging, and expansion performance to surface revenue opportunities; designing and analyzing experiments (including pricing tests) and driving results into action; using AI tools and automation to replace manual analysis with repeatable, self-serve systems; building the measurement foundation for product-led growth (event tracking, cohorting, automated systems); partnering with growth, product, pricing, and engineering to identify bottlenecks and drive insights to shipped outcomes; building lightweight tools and internal automation yourself when faster than engineering queues; flagging when proposed tests won't produce trustworthy answers; and establishing data quality standards as the team scales.
You'll use AI heavily—to build analysis and automation faster, stand up tooling without waiting on engineering, and accomplish more as a team of one than traditional analyst functions. You think in cohorts and causal inference before dashboards, are comfortable with pricing and packaging economics, prefer building tools to requesting them, and are fluent enough with AI to turn analysis needs into working scripts or agents yourself.
