Integrations Engineer
Hebbia · San Francisco, United States · 6mo ago
About Hebbia
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
Bonuses:
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.
Life @ Hebbia
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
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