Integrations Engineer

The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. The Team The Integrations team is the backbone of Hebbia. We own the systems that bring customer data into the platform — and without us, nothing else works. Every insight Hebbia generates depends on reliable, real‑time access to data across dozens of enterprise systems. This is not surface‑level API work. This is building resilient, production‑grade data systems across environments that are messy, inconsistent, and constantly changing. The Role You will own the full lifecycle of integrations that power Hebbia’s AI — from designing connectors to deploying them in production, monitoring their behavior, and debugging failures in real time. You’ll work across systems like Snowflake, S3, SharePoint, and internal customer infrastructure — building pipelines that need to handle real‑world complexity: unreliable APIs, evolving schemas, massive datasets, and edge cases that don’t show up in documentation. When these systems work, customers trust Hebbia with their most critical workflows. When they break, it’s immediately visible — and you’ll be the one who understands why. This role is hands‑on, high‑ownership, and deeply technical. You won’t just write code — you’ll develop the instincts to operate and debug complex distributed systems in production. Why This Role is Different This role gives you exposure to: Real production systems with immediate customer impact Complex, unpredictable environments across enterprise infrastructure End‑to‑end ownership — from design to on‑call to incident resolution You will learn how systems actually behave in the real world — not just how they’re supposed to work. Engineers on this team quickly become experts in distributed systems, data pipelines, and debugging at scale. It’s one of the fastest ways to develop the skillset of a senior engineer. What You’ll Do 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 — from document analysis to structured query workflows Who You Are 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. This role has high ownership and low hand‑holding 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 The salary range for this role is $160,000 to $265,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late Parental leave: 3 months non‑birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: Competitive equity package with unmatched upside potential Equal Employment Opportunity As set forth in Hebbia’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. For government reporting purposes, we ask candidates to respond to the following self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. 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