Integrations Engineer
Hebbia Ai
| Company | Hebbia Ai |
| Category | Engineering |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 20 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
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 https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, 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 unlo
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