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.
Why This Role Matters
- 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.
What you will do
- Build Core AI-Product Features for Enterprise Brokers
- Own large new areas within our product
- Work across backend, frontend, and interact with LLMs and ML models
- 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
- Build reusable frontend components, API patterns, and data flows to accelerate product development.
- 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.
Requirements
- 4 years of experience building full-stack product features from design through production.
- Experience shaping products at fast-growing startups.
- Hands‑on experience with LLMs, vector databases, or other emerging AI technologies.
- Proficiency in Python or JavaScript/TypeScript, and SQL.
- Experience with Docker and major cloud providers (Google Cloud Platform, Amazon Web Services, or Microsoft Azure).
Nice to Have
- Background in insurance, fintech, or other data-heavy SaaS products.
- Experience with model evaluation, benchmarking, or human‑in‑the‑loop review workflows.
Benefits
- Competitive compensation packages based on experience.
- Company equity.
- Hybrid‑flexible company focused in the Northeast (NYC and Boston).
- Relocation stipend (if you want to join us in the Northeast).
- Quarterly in‑person meetups.
- 20 days of PTO (that roll over) and 12 company holidays and 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.
- 401K plan.
- $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.
New York Pay Range: $200,000—$230,000 USD
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