Software Engineer – AI Products

About Us

Herald builds digital infrastructure for commercial insurance. Today we provide developers a single API to get quotes for insurance products from multiple carriers. Tomorrow we want to build anything that helps developers connect their applications to the insurance ecosystem. We think buying insurance should be as easy as buying anything else online and we want your help!

We’re a team of insurtech veterans with experience at At-Bay, Kin, and Insurify. We’ve raised our Series A funding from top-tier VCs (Lightspeed, Brewer Lane, Afore, Underscore) along with a panel of insurtech founders (At-Bay, Marble), insurance executives (CRC), and early employees of other successful API infrastructure companies (Plaid, Alloy, Stytch).

Herald is building Babbix, an AI-native platform that commercial insurance brokers use to create submissions and get quotes directly from their inbox. It orchestrates broker workflows end-to-end by combining classification pipelines, data extraction models, and a broker-facing web interface. Delivering high-quality product experiences and shipping new AI-driven capabilities are core to our success.

As a Software Engineer on the Babbix product, you’ll drive major product initiatives from inception to delivery. You’ll design, build, and scale the systems that power our AI workflows, from APIs and data pipelines to model orchestration and integration with external partners. You’ll collaborate closely with brokers and internal teams to turn ideas into production-ready features that make our AI output transparent, accurate, and trustworthy.

Commercial insurance is one of the last major industries still powered by email. Every submission, quote, and policy must be manually processed by brokers, slowing them down and costing them deals.

By building new product and AI capabilities, you will:

• Transform messy email submissions into structured, actionable data with minimal friction.
• Help brokers move from inbox to quote-ready submissions in minutes instead of hours.
• Enable rapid iteration on new workflows and AI features alongside our product and client services teams.
• Lay the foundation for scaling Babbix across lines of business, carriers, and broker organizations.

Your work will directly impact how brokers work — transforming an industry that has been failed by modern software until now.

You will

• Build Core AI-Product Features for Enterprise Brokers
• Own large new areas within our product
• Drive the development of backend systems (APIs, data pipelines, and model orchestration), working closely with product teams to bring new capabilities to life.
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Improve Developer Experience & Internal Tools
• Contribute to internal tooling, testing infrastructure, and CI/CD to improve velocity and reliability.
• Help evolve our Google Cloud Platform-based architecture as new product features are launched.
• Collaborate Directly with Clients
• Gather feedback from pilot users and translate it into product improvements and feature priorities.
• Work closely with customer success and integrations teams to ensure smooth rollouts and a great user experience.

• 2 years of experience building backend or full-stack systems from design through production
• Fluent in at least one modern programming language (Python, Type Script, Go, Rust, etc.) and quick to adapt to new technologies.
• Hands‑on experience with LLMs, vector databases, or other emerging AI technologies.
• Experience with relational or No
  
  SQL databases (e.g., Postgres, MySQL, Mongo
  
  DB, Redis, etc.).
• Experience with Docker and major cloud providers (Google Cloud Platform, Amazon Web Services, or Microsoft Azure).
• Experience shaping products at fast‑growing startups.

• Background in insurance, fintech, or other data-heavy SaaS products.
• Experience with model evaluation, benchmarking, or human‑in‑the‑loop review workflows.

• 💰 Competitive compensation packages based on experience
• 📈 Company…