Senior/Staff Product Manager

Posted Yesterday
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San Francisco, CA, USA
Hybrid
190K-270K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software
The Role
Own enterprise customer engagements end-to-end for a complex insurance-focused platform: run tailored demos to win deals, embed post-sale to configure and customize deployments, write engineering briefs and prototypes, define hard product requirements (auth, RBAC, data governance), and design interfaces for expert users while managing multiple concurrent customers and stakeholders.
Summary Generated by Built In
Senior/Staff Product Manager

About Us

Effective AI is building a software factory for complex industries: a system of record for how a business actually works. Most companies have databases, workflow tools, documents, dashboards, and expert operators, but the real model of the business - what things mean, when rules apply, what changes over time, what is company-specific versus industry-standard, and how expert judgment gets applied - lives everywhere and nowhere. Effective turns that operating knowledge into governed systems that humans and agents can trust, extend, and act on.

We are starting with insurance as our first deep domain, bootstrapping from regulations, product specs, filings, manuals, standards, market patterns, existing software behavior, and domain expertise to build reusable industry models. Contextbase is our living model of the domain and our customers, and with program synthesis techniques like RSL: messy insurance logic becomes typed, testable, executable, and inspectable. Customers inherit a governed industry model, specialize it for their products and workflows, and keep that specialization correct as the shared model improves.

We’ve raised $10 million in seed funding from Lightspeed Ventures & Valor Equity Partners.

What You'll Do

As a Founding Product Manager, you'll own the full lifecycle of enterprise customer engagements, from the first demo to ongoing expansion. Our platform serves large insurance carriers with complex, varied workflows. No two customers deploy it the same way. Your job is to figure out what each one needs, build a plan to deliver it, and work directly with engineers and SMEs to make it real.

You'll build prototypes, write engineer briefs, configure demos, and sit in customer meetings translating their business problems into product decisions.

More specifically, you will:

  • Design and run demos that win deals. Understand the customer's workflows and evaluation criteria. Build tailored demos, not feature tours. Write briefs specific enough that engineers can start building tomorrow.

  • Embed with customers post-sale. Learn their processes, understand their vendor landscape, and translate what you learn into what the product should build next. Configure and customize the platform for each customer while the product itself levels up.

  • Own the hard product requirements. Auth, RBAC, approval workflows, data governance. Too nuanced for a domain specialist alone, too customer-facing for an engineer alone. You bridge that gap.

  • Design for expert users, not engineers. Our users are domain experts who think in regulatory filings, rate structures, and competitive positioning. You'll take what our engineers build and make it consumable for actuaries, underwriters, and product leaders. Getting this right is how the future of complex work gets defined.

  • Hold multiple enterprise engagements at once. Different timelines, different stakeholders, different technical complexity. Nothing drops.

Who You Are
  • 5+ years of product management in enterprise software with heavy per-customer customization. DevOps, security, infrastructure, or data analytics background ideal. Consumer product experience is not a fit.

  • Hands-on with AI coding tools today. You're actively using Cursor, Copilot, Claude, or similar to prototype and build. This is how you work, not something you're planning to start.

  • Deep enterprise customer-facing experience. You've run demos for technical buyers, managed post-sale relationships, and made products work in messy customer environments.

  • Strong technical depth. You reason about auth, APIs, data pipelines, and system architecture. When you brief an engineer, they can build from it.

  • High agency, fast ramp. You don't wait for a playbook. You've absorbed a complex domain quickly before and customers trusted you within weeks.

Role Details
  • Location: San Francisco, CA

  • Work Model: Hybrid/in-office

  • Compensation: The estimated salary range for this role is $190,000-$270,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.

Benefits:
  • Flexible PTO

  • Highly competitive salary & meaningful equity

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

  • 401k with up to a 4% company match

  • $1,200 annual learning and development stipend

  • Catered lunches

  • Commuter benefits for Bay Area employees

  • Home office stipend for remote employees

  • Mentorship from experienced founders and access to an elite investor network

  • Team building events & happy hours

  • Company Offsites

  • Backing from top VCs (Lightspeed, Valor)

Effective AI is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Skills Required

  • 5+ years of product management in enterprise software with heavy per-customer customization
  • Hands-on use of AI coding tools (Cursor, Copilot, Claude, or similar) for prototyping
  • Deep enterprise customer-facing experience running demos and managing post-sale relationships
  • Strong technical depth; able to specify auth, APIs, data pipelines, and system architecture for engineers
  • Experience with auth, RBAC, approval workflows, and data governance
  • DevOps, security, infrastructure, or data analytics background
  • High agency and ability to ramp quickly in complex domains
  • Located in San Francisco, CA and able to work hybrid/in-office
Am I A Good Fit?
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The Company
20 Employees
Year Founded: 2025

What We Do

Effective AI provides an AI-powered agent platform and operating system specifically designed for the insurance industry. The platform connects market data, product rules, and team workflows into a single operating view, empowering actuarial, product, and underwriting teams to monitor market competitiveness, price risk, and launch products with greater speed and precision, transforming how insurance teams operate through code-first autonomy and intelligent automation.

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