Location: San Francisco, CA
Work model: On-site, 5 days/week
Employment: Full-time
Experience: 4+ years
Base salary: $180K–$280K + equity + quarterly performance bonuses
Visa: Open to visa transfers (including OPT / H-1B transfers)
About the role
We are looking for a Product Engineer with 4+ years of experience to build and own AI-powered products that directly impact business KPIs.
This is a highly product-oriented engineering role: the engineer will work directly with sales, service, underwriting, and operations teams, identify business problems, turn them into scalable technical solutions, and ship extremely quickly.
The company operates at a very fast pace — prototypes and production features are expected to ship within hours or the same week rather than over long development cycles.
Key responsibilities
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Own one or multiple business KPIs end-to-end and drive measurable improvements through technology.
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Work directly with non-technical stakeholders across sales, service, underwriting, and operations.
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Translate business problems into scalable product and engineering solutions.
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Design and build AI-powered and agentic systems, including RAG, MCP, AI agents, and automation.
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Build across the full stack, rather than focusing exclusively on backend or frontend.
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Prototype, ship, measure, and iterate extremely quickly.
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Support production systems and participate in on-call responsibilities.
Must-have profile
- 4+ years of software/product engineering experience.
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Strong hands-on engineering skills in Python and/or TypeScript.
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Experience building production AI/LLM applications, ideally including:
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RAG
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AI agents / agent frameworks
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MCP
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workflow automation
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Strong product mindset — comfortable owning a business outcome/KPI, not just completing engineering tickets.
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Experience working directly with business or non-technical stakeholders.
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Ability to work across the stack and independently take a problem from idea prototype production.
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Comfortable working in a very high-speed startup environment.
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Willing to work 5 days per week from the San Francisco office.
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Comfortable supporting live systems / participating in on-call.
Strong plus
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Experience with Voice AI.
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AWS and/or GCP.
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Experience using AI coding tools such as Cursor and Claude Code as part of the daily development workflow.
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Startup / early-stage company experience.
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Experience building internal tools or automation for sales, operations, underwriting, customer service, or other business teams.
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Insurance / InsurTech experience.
Tech stack
Core: Python, TypeScript
AI: RAG, Agent Frameworks, MCP, Voice AI
Cloud: AWS / GCP
AI development tools: Cursor, Claude Code
About the client
Our client is an AI-native commercial E&S insurance brokerage founded in 2024. Its proprietary technology supports the brokerage workflow from prospecting and quoting through binding and servicing.
Team: ~60 employees
Industry: Insurance / AI
Funding: $47M
Location: San Francisco Bay Area
Interview Process:
AI Screening
Candidate Submission
60-min Remote Technical Screen
2–3h SF On-Site Super Day
Offer
Hire