Product Engineer

Product Engineer

We’re a high-impact, venture‑backed insurtech startup out of MIT, building an AI‑native marketing platform for P&C insurers. We unify fragmented customer, marketing, and insurance data to create a data layer for our actuarial‑aware AI agents that help marketers perform campaign optimization, internal reporting, audience creation and economic optimization that ties marketing actions to policy economics (retention, LTV/CAC, loss ratio). Core workflows include conversational analytics in chat, turning agent outputs into digital artifacts marketers can use, generating reports and dashboards using AI, creating marketing audiences and activating insights to ad platforms through AI‑driven workflows.

We are looking for a top‑tier Product Engineer to join our seed‑stage team. The ideal candidate starts with the user journey and product experience, then designs and builds the end‑to‑end system behind it. You’ll build AI agents, product experiences, and robust systems that insurance marketers and growth teams use to make real decisions. The ideal candidate loves to build and can balance technical rapid software development with creating great user experiences.

Experience Level: 3–6 years

• Obsession over the user journey: watch sessions, talk to users, and turn messy workflows into crisp, fast experiences
• Ship end‑to‑end product features across backend APIs, frontend UX, and AI agent workflows
• Co‑design features and capabilities with the CTO, CEO and customers using the Fount platform
• Build and evolve AI agents and tools that turn marketing and insurance data into decisions and actions
• Own product areas in production: metrics, performance, reliability, and incident response
• Partner directly with the CTO to build a durable technical foundation, high‑quality code, and sustained velocity

• Work on technically hard problems at the intersection of AI, insurance, marketing and data science
• High ownership, fast iteration, and direct impact on product direction
• Small, experienced team with strong subject matter expertise and minimal process overhead
• Remote work with travel opportunities to the US – we expect candidates to have a stable working environment
• Competitive compensation with strong equity upside

• 3–6 years of software engineering experience with production full‑stack systems
• Shipped end‑to‑end web products (backend APIs + frontend UX)
• Strong Python and Type Script fundamentals
• Experience with modern web frameworks (FastAPI, Next.js/React)
• Solid SQL and data modeling skills
• Daily AI‑first builder (advocate and user) or experience shipping AI/LLM‑powered products in production
• Familiar with event‑driven systems, background processing, durable execution, and data pipeline DAGs
• Comfortable in regulated or data‑sensitive domains (insurance/fintech preferred)
• High autonomy, strong execution bias, and clear written communication
• BS/MS in CS/Engineering/Math or equivalent proven track record shipping real products
• Excited about working with AI‑first developer tools such as Claude Code, Codex, Cursor, etc.

• Python (>=3.13)
• FastAPI, Pydantic, typed code, testable modules
• Data querying and transformation with SQL and duckdb/pandas/polars
• Type Script
• Next.js (App Router), React, Tailwind
• Building clean, fast UI with strong UX sense
• Postgre
  
  SQL, DuckDB or lakehouse engines (Iceberg, Delta, Duck Lake)
• Cloud storage and data integration patterns (e.g., S3)
• Background jobs, triggers, and durable workflows (e.g., DBOS); stream + batch fundamentals
• Docker, CI/CD, deployment fundamentals
• Basic networking, domains, etc.
• Git/Git Hub

• Insurance domain knowledge
• Experience with data pipelines and DAGs (Airflow, dbt, Spark)
• Experience with Kubernetes and Terraform
• Former founder, tech lead, or early startup engineer
• Experience building marketing analytics or attribution systems
• Observability and ML infra familiarity (Logfire, pgvector, Temporal)

• Ships fast, learns fast, and iterates with customers
• Comfortable with ambiguity and making product decisions
• Strong product intuition and attention to UX details
• Maintains a high‑quality code baseline while refactoring in phases to keep velocity
• Cares about code quality because it enables AI‑assisted development, security, and scalability

• Interview process includes a co‑work session on real Fount code
• We move fast and provide feedback quickly
• Candidates are expected to be available until 5pm US Eastern Time
• Early equity is available as part of the compensation package if attractive to candidates