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Own the full lifecycle of enterprise customer engagements, translating complex business problems into product decisions and technical briefs. Design tailored demos and configure the platform to meet specific customer workflows while scaling the core product.
Requires 5+ years of enterprise software product management experience with a strong technical background in DevOps, security, or data analytics. Must be proficient in using AI coding tools like Cursor or Copilot for prototyping and have deep experience managing technical buyers.
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.
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.
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.
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.
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)
Trusted Intelligence for Insurance
Effective AI is the agent platform for the teams that price risk, enter markets, and grow the book. We bring code-first autonomy to a $6 trillion industry still running on PDFs and spreadsheets. Getting there required us to solve some of the hardest problems in applied AI — long-context reasoning, formal verification, multi-agent coordination — because insurance won't tolerate anything less. Built by insurance operators. Backed by Lightspeed and Valor.
Offices: San Francisco, US
Based on 2907 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$286k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 3,788 open engineering positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, Anthropic, San Francisco Department of Public Health, Crusoe, Pinterest, among others. Browse the listings above to see every active employer.
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