Software Engineer - AI Products

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. 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.

• 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 equity
• 🌐 Hybrid-flexible company focussed in the Northeast (NYC and Boston)
• ✈️ Relocation stipend (if you want to join us in the Northeast)
• 🌛 Quarterly in-person meetups (on the company)
• 🏝 20 days of PTO (that roll over) + 12 company holidays + 5 sick days
• 💊 Quality health, vision, and dental insurance
• 🚆 Pre-tax commuter benefits to be used towards parking & transit costs for those working hybrid in our offices
• 🏠 $500 additional home office stipend (beyond the standard equipment)
• 👨👩👧👦 Parental leave for all kinds of parents (including adoption and foster care)
• 🏃♀️ An agile and motivated team

Full compensation packages are determined based on candidate experience. Please note that some roles may include variable compensation (such as commission, bonuses, and/or equity) that are not outlined here. This range is depicting base pay only. Any variable compensation will be discussed throughout the hiring process.

New York Pay Range

$140,000 - $200,000 USD

Diversity, equity, and inclusion are featured prominently in our company's values which you can read about below. Please reach out if you would benefit from any assistance throughout the application or have suggestions about how we can make our process more accessible and inclusive to all people.

We encourage applicants to apply even if their experience doesn’t exactly match the job description. We value transferable skills and look for potential to grow with the team.

Actions we value

• Build trust
• Create a shared reality
• Get better every day
• Build a diverse, equitable, and inclusive community
• Remember that we make the rules

U.S. Standard Demographic Questions and Voluntary Self-Identification sections were part of the original posting but are not included here to keep the description concise and job-focused.