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 connective layer between Hebbia’s AI platform and every data source our customers rely on. We build and maintain the pipelines that ingest content from enterprise systems—Snowflake, S3, SharePoint, Dropbox, and beyond—so Hebbia can reason over it.

This is infrastructure work with direct customer impact. When an integration is fast, reliable, and seamless, our customers trust Hebbia with their most critical workflows. When it breaks, they feel it immediately. The team owns that end-to-end: building new connectors, hardening existing ones, and keeping the data flowing.

The Role This is not a generic backend engineering role with integrations sprinkled in. You will spend the majority of your time building, debugging, and operating data integrations across dozens of third-party platforms. The work is hands-on, customer-facing in its impact, and requires someone who finds satisfaction in making complex systems work reliably at scale.

You will own integrations from ideation through production—designing the connector, writing the code, deploying it, monitoring it, and fixing it when something breaks at 2am. You will develop deep expertise in how enterprise data systems actually behave in the wild, which is rarely how the documentation says they should.

Strong Integrations Engineers at Hebbia become the go-to experts on the data layer that powers everything else. The role offers a high-growth trajectory for engineers who want to take on increasingly complex technical problems over time.

Responsibilities

• Build and maintain integrations with enterprise data platforms (Snowflake, S3, SharePoint, Dropbox, Google Drive, Box, and others) and customer’s self hosted storage solutions that enable customers to securely connect their data to Hebbia
• Own integration reliability end-to-end: monitoring, alerting, on-call rotation, and incident response for the data ingestion layer
• Debug and resolve integration failures across a wide surface area of third-party APIs, auth flows, and data formats—often under time pressure from active customer deployments
• Design and implement robust ingestion pipelines that handle edge cases gracefully: rate limits, partial failures, schema changes, large file volumes, and inconsistent API behavior

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

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