Software Engineer - Product ($180K - $280K + Equity) AI-Native Insurance Brokerage

CoffeeSpace; San Francisco (CA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Equity

Meals

Gym Access

Commuter Benefits

Health Coverage

Job summary

CoffeeSpace in San Francisco is seeking a product engineer to own business KPIs and build AI-powered product features and automation that deliver measurable outcomes. You will translate stakeholder needs into scalable technical solutions while partnering with sales, service, underwriting, and operations.

You will prototype rapidly, ship iteratively, and support production systems with on-call responsibilities, leveraging Python, TypeScript, and cloud platforms to deliver visible value.

Qualifications

• At least four years of product engineering experience.
• Proficient with Python and TypeScript, and experienced in AI/ML tooling.
• Ability to translate non-technical stakeholder needs into technical solutions and rapidly prototype and ship features.

Responsibilities

• Own business KPIs and build AI-powered product features and automation that deliver measurable business outcomes.
• Work with sales, service, underwriting, and operations stakeholders to identify problems, ship scalable solutions quickly, and support production systems with on-call responsibilities.

Skills

Python

TypeScript

Cursor

Claude Code

AWS

Google Cloud Platform

RAG

Agent Frameworks

Model Context Protocol

Voice AI

Product Engineering

AI Systems

Full-Stack

Rapid Prototyping

Stakeholder Collaboration

Tools

MCP

Job description

Own business KPIs and build AI-powered product features and automation that deliver measurable business outcomes. Work with sales, service, underwriting, and operations stakeholders to identify problems, ship scalable solutions quickly, and support production systems with on-call responsibilities.

Requirements

Candidates should have at least four years of product engineering experience and proficiency with Python, TypeScript, Cursor, Claude Code, AWS or GCP, RAG, agent frameworks, MCP, and Voice AI. They should be able to translate non-technical stakeholders’ needs into technical solutions and be comfortable rapidly prototyping, shipping, and iterating on features.

Key Skills

• Python
• TypeScript
• Cursor
• Claude Code
• AWS
• Google Cloud Platform
• Retrieval-Augmented Generation
• Agent Frameworks
• Model Context Protocol
• Voice AI
• Product Engineering
• AI Systems
• Full-Stack Development
• Rapid Prototyping
• Stakeholder Collaboration

Benefits

• Equity
• Meals
• Gym Access
• Commuter Benefits
• Health Coverage