opengreenhouselsvp
Software Engineer - AI Products
Herald
LocationNew York, NY, New York
Last observed2026-06-13 05:23:44.218692
Job idlsvp-herald:greenhouse:4976239008
About Us Herald is transforming how commercial insurance gets sold. We combine modern API infrastructure with industry-specific AI that can read emails, extract data, generate quotes, and guide brokers through submission workflows end-to-end. The result: faster placement, cleaner operations, and meaningful revenue growth. The market is huge, the need is obvious, and the product we’re building doesn’t exist yet. If you want to help shape the operating system for modern insurance, we’d love to work with you. 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 ). The role 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. Why This Role Matters 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. What you bring 2+ years of experience building backend or full-stack systems from design through production Fluent in at least one modern programming language (Python, TypeScript, 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 NoSQL databases (e.g., Postgres, MySQL, MongoDB, Redis, etc.). Experience with Docker and major cloud providers (Google Cloud
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