Senior Software Engineer -AI Products

Herald

• $200K — $230K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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).

Responsibilities

  • Drive product initiatives from inception to delivery.
  • Build core AI-product features for enterprise brokers across backend and frontend.
  • Deliver high-quality experiments to enhance customer engagement.
  • Contribute to improving developer experience through internal tools and CI/CD.
  • Collaborate directly with clients to gather feedback and translate it into product improvements.

Benefits

  • Competitive compensation packages based on experience.
  • Company equity.
  • Hybrid-flexible work environment based in the Northeast.
  • Quarterly in-person meetups sponsored by the company.
  • 20 days of PTO (which roll over) and company holidays.
Full Job Description
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 Senior Software Engineer (Full Stack) on the Babbix product, you'll drive major product initiatives from inception to delivery. You'll work directly with brokers and internal stakeholders to shape ideas, turn them into designs, and build them into production-ready features. You'll work across the stack, from frontend UI to backend APIs to model orchestration, to deliver effortless workflows and 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 still 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
    - 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.
What you bring
  • 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.
What we bring
  • 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
  • 👵 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


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

$200,000-$230,000 USD

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