Integration Engineering

HebbiaThe 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 RoleYou 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 DifferentThis role gives you exposure to:Real production systems with immediate customer impactComplex, unpredictable environments across enterprise infrastructureEnd-to-end ownership — from design to on-call to incident resolutionYou 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 DoBuild 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 systemsDesign and operate pipelines that handle scale, failures, and edge cases gracefullyDebug issues across APIs, auth systems, and data formats, often under real-time customer pressureOwn reliability end-to-end: monitoring, alerting, on-call, and incident responseImprove internal tooling and observability to make systems more robust and easier to operatePartner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use casesDesign 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 workflowsWho You Are2–5 years of software engineering experience, ideally at a startup or high-growth technology companyStrong proficiency in Python, with experience building backend services and APIsDirect experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practiceComfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or ElasticSearchOperational 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 concernStrong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root causeClear communicator who can explain technical issues to non-technical stakeholders when a customer's integration is downAutonomous and self-directed. This role has high ownership and low hand-holdingBonuses:Experience with enterprise data platforms (Snowflake, SharePoint, Salesforce) from the integration sideFamiliarity with document processing pipelines or content extraction systemsExperience building agentic systems or LLM-enabled productsFrequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)CompensationThe 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.Life @ HebbiaPTO: UnlimitedInsurance: Medical + Dental + Vision + 401KEats: Catered lunch daily + DoorDash dinner credit if you ever need to stay lateParental leave: 3 months non-birthing parent, 4 months for birthing parentFertility benefits: $15k lifetime benefitNew hire equity grant: Competitive equity package with unmatched upside potential