Actuarial Product Analyst

Location: San Francisco, CA · Open to remote anywhere in the US

Work Model: We have an office by Salesforce Park and the team is there most days, not because we mandate it, but because we like it. Remote candidates are fully supported.

About Effective AI

We're building AI agents to do real analytical work alongside domain experts, starting with insurance. Insurance pricing and product teams operate in one of the most data-rich, regulation-heavy environments in the economy, and their core analytical workflows are still almost entirely manual. We’re building agents that change that: systems that reason over millions of regulatory filings, coordinate across parallel workflows, and produce analysis that actuaries and product teams actually trust and use.

We started here because insurance is a near-perfect proving ground: high analytical complexity, demanding expert users, and a massive market where AI has barely touched the core technical workflows. The capabilities we’re building — reliable reasoning, multi-agent orchestration, structured data extraction from messy documents — extend well beyond insurance.

What makes us different:

• Built by people who lived the problem: Our CEO, Abhay Mitra, built and scaled an insurance company (Nirvana, near-unicorn). That experience shapes every product decision and gives us deep credibility with the teams we sell to.

• Solving hard technical problems: Reliable reasoning over complex domains, multi-agent coordination, and expert-in-the-loop workflows, not chatbot wrappers.

• Real traction, early innings: Sophisticated customers — P&L owners, actuaries, product managers at the largest carriers — are already using us in production. The opportunity is growing faster than the team.

We're backed by Lightspeed and Valor and headquartered in San Francisco.

The Role

We're looking for an actuary (or someone with deep actuarial experience) who wants to build the tools their profession will use for the next decade. You'll work directly with engineering to turn actuarial expertise into product: codifying how agents reason about pricing, reserving, competitive analysis, and regulatory filings.

You'll also be the technical face of the company with customers, working alongside P&L teams at carriers to deploy and validate what we build.

This is a founding-team-level role. You'll work directly with our founders and engineering, and your expert judgment will shape the product roadmap.

What You'll Do

Customers & Implementation:

• Partner with P&L owners, lead actuaries, and pricing directors at major carriers to implement the product and ensure AI outputs meet actuarial standards.

• Audit agent outputs for accuracy and compliance. Document edge cases and failure modes so engineering can fix them.

• Serve as the technical authority on sales calls — the person in the room who speaks the buyer's language.

Product & Engineering:

• Work with AI engineers to codify actuarial workflows into agents — pricing, reserving, competitive analysis, filing review.

• Define where human judgment is essential vs. where agents can handle the work independently.

• Build validation frameworks that hold up to actuarial professional standards.

Industry:

• Write and speak about how AI is changing actuarial work.

• Represent Effective AI at actuarial conferences and industry forums.

Who You Are

Experience:

• Actuarial experience: 3+ years in pricing, reserving, product management, or competitive analysis at a P&C carrier, reinsurer, or top-tier consulting firm. MGA experience works if it was heavily analytical. Exam progress is a plus but not required.

• Data fluency: Comfortable with SQL (joins, CTEs, window functions), messy data, and complex schemas. You don't need a tutorial to explore a new database.

• Communication: Can explain actuarial concepts to engineers and AI capabilities to business leaders. Strong writer — this role involves documentation, customer-facing materials, and thought leadership.

• Startup temperament: You prefer building to talking. Comfortable with ambiguity, fast iteration, and owning problems end to end.

• Conviction about AI in actuarial work: You don't need to be an AI expert, but you do need to believe that actuarial workflows can be fundamentally better and want to be the person who figures out how. You'll go deep on what these systems can and can't do, not just use them casually.

Why Join Effective AI

Most actuaries spend the majority of their week wrangling data and navigating filing systems, not doing the analytical work they were trained for. We're building the tools that fix that, and we need actuaries to build them right.

What you'll gain:

• Your expertise becomes product: The workflows you codify will be used by thousands of actuaries within a few years. That's a different kind of career leverage than optimizing one book of business.

• Learn AI/ML by building, not studying: You'll work daily with world-class engineers and gain real fluency in how modern AI systems work. No PhD required.

• Shape the standard: Help define what AI-native actuarial work actually looks like not as a thought exercise, but as shipped product.

• Room to grow: This role can become Head of Actuarial Product, VP of Customer Success, or a deep IC track, depending on what you want.

What We Offer

• Highly competitive salary & meaningful equity

• Best-in-class medical, dental & vision insurance

• 401k with company 4% match

• Flexible PTO

• Mentorship from experienced founders and access to Lightspeed and Valor's network

• Annual company offsite