Heron Data

Product Engineers (NYC)

Heron Data
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6 months ago
New York, NY, USAIntern / Entry Level / Mid Level / Senior / Staff+

Base Salary

$180k - $280k/yr

Responsibilities

  • Design, build, and maintain backend services and APIs
  • Design and build new UI and web components
  • Develop integrations with third-party services and AI models
  • Triage bugs, investigate production incidents, and contribute to postmortems and root cause analysis
  • Participate in code reviews and collaborate with technical and non-technical stakeholders

Requirements

  • Ability to build and ship code frequently in a collaborative, iterative environment
  • Ability to solve complex technical problems with simple, well-designed solutions
  • Concern for scalable infrastructure and engineering processes
  • Ability to contribute to the current Python, Flask, FastAPI, Terraform, GCP, AWS, React, JavaScript, TypeScript, and Vercel stack
  • Willingness to take end-to-end responsibility for deployed work
  • Strong collaboration, communication, persistence, and initiative

Benefits

  • Full-time, in-person work in NYC
  • Choice of top-of-the-line office equipment
  • Occasional travel to London for retreats and team collaboration
  • Health insurance, 401K, uncapped annual leave, and parental leave
  • Free mental health support through Spill
  • Weekly inclusive, vegan-friendly company lunches

Categories

Full StackProduct Engineering
Heron Data

About Heron Data

11-50 employees

At Heron, we use the latest advances in AI and LLMs to automate document-heavy workflows. Our largest product automates underwriting for insurance, small business lenders and other specialty finance companies. We eliminate cumbersome manual processes and enable our customers to provide their services with much greater speed, precision, and fairness. Over 150+ customers in SMB Financing, Equipment Financing, and Insurance trust us to be embedded in their critical processes. Without us, their businesses stop. We ingest, extract, enrich, and summarize data from tens of thousands of documents a day, including over 20 million individual bank transactions. If you receive, review and extract data from a large volume of documents every day - we would love to hear from you!

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