Heron Data

About the Company

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!

Listed Jobs

Company Name

Heron Data

Job Title

Product Manager (London)

Job Description

**Job title** Product Manager **Role Summary** Lead the end‑to‑end lifecycle of a core product vertical within an AI‑driven document automation platform. Conduct customer discovery, define features, prioritize the backlog, collaborate with engineering, and iterate quickly to deliver measurable business outcomes. **Expectations** - Minimum 2–4 years product management experience in a B2B SaaS context, or 2–3 years commercial generalist experience prior to transitioning into tech. - Demonstrated record of shipped software that produced quantifiable results. - Comfortable discussing technical concepts (APIs, data pipelines, system architecture) with engineering teams. - Structured problem‑solving ability, customer‑first mindset, and drive to deliver impact over perfect plans. **Key Responsibilities** 1. Own a vertical product from discovery to delivery. 2. Run customer interviews, workshops, and feedback loops to surface pain points. 3. Translate insights into actionable specs, prioritize backlog, and set delivery dates. 4. Partner with engineering, design, and data teams to ship features on schedule. 5. Measure feature impact and iterate based on analytics and user feedback. 6. Develop and present a clear product strategy grounded in customer data, market analysis, and business metrics. 7. Coordinate cross‑functional teams (engineering, deployment, sales, customer success) to ensure seamless rollout. **Required Skills** - Product ownership and end‑to‑end product lifecycle management. - Strong analytical and quantitative measurement of product success. - Proficiency with product tools (Jira, Confluence, Figma, etc.). - Technical fluency with APIs, data pipelines, and cloud architecture. - Excellent communication and influence skills across engineering and business stakeholders. - Structured thinker with the ability to break ambiguous problems into clear decisions. - Customer‑centric mindset, adept at building deep customer relationships. **Required Education & Certifications** - Bachelor’s degree in Business, Computer Science, Engineering, or related field (a Master’s degree is a plus). - Product Management certification (e.g., Pragmatic, AIPMM, or equivalent) is desirable but not mandatory.

London, United kingdom

On site

Junior

01-03-2026

Company Name

Heron Data

Job Title

Principal Backend Engineer

Job Description

Job Title: Principal Backend Engineer Role Summary: Lead the scaling and architecture design of a high-throughput backend system processing sensitive financial data, ensuring reliability, scalability, and security for enterprise customers. Expectations: 8+ years building and scaling backend systems, including B2B SaaS platforms, with proven experience transitioning early-stage systems to enterprise-scale infrastructure. Hands-on technical expertise in cloud-native architecture, Python, and handling regulated data domains (e.g., finance, healthcare). Key Responsibilities: - Assess and optimize backend architecture for reliability, scalability, and security. - Design multi-tenant systems supporting enterprise customers with varied SLAs and compliance requirements. - Architect core abstractions (data models, pipelines, deployment patterns) for high-volume financial data (bank statements, tax documents). - Define technical strategies to scale infrastructure from hundreds to thousands of customers and millions to tens of millions of documents. - Elevate backend engineering practices to simplify system reliability and development efficiency. Required Skills: - Python and cloud infrastructure (AWS/GCP/Azure). - Multi-tenancy implementation in scalable systems. - High-throughput data processing with ML pipeline reliability. - Secure handling of sensitive data (financial, regulated domains). - Debugging and resolving production issues in high-velocity environments. Required Education & Certifications: Bachelor’s/Master’s in Computer Science or equivalent technical training. Professional experience in enterprise software development, with prior roles in B2B SaaS or financial technology.

London, United kingdom

On site

Senior

01-03-2026