Integrations Engineer

Responsibilities

• Build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems
• Design and operate pipelines that handle scale, failures, and edge cases gracefully
• Debug issues across APIs, auth systems, and data formats, often under real-time customer pressure
• Own reliability end-to-end: monitoring, alerting, on-call, and incident response
• Improve internal tooling and observability to make systems more robust and easier to operate
• Partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases
• Design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces

Requirements

• 2–5 years of software engineering experience, ideally at a startup or high-growth technology company
• Strong proficiency in Python, with experience building backend services and APIs
• Direct experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practice
• Comfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or ElasticSearch
• Operational mindset: you take ownership of systems in production, not just in a PR. You are comfortable with on-call and treat reliability as a first-class concern
• Strong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root cause
• Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down
• Autonomous and self-directed

Nice-to-Haves

• Experience with enterprise data platforms (Snowflake, SharePoint, Salesforce) from the integration side
• Familiarity with document processing pipelines or content extraction systems
• Experience building agentic systems or LLM-enabled products
• Frequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)

Compensation & Benefits

• Salary range: $160,000 to $265,000
• Unlimited PTO
• Medical + Dental + Vision + 401K
• Catered lunch daily + DoorDash dinner credit
• 3-4 months parental leave
• $15k lifetime fertility benefit
• Competitive equity package