--- title: 'Integrations Engineer at Hebbia AI' canonical: 'https://feeny.ai/job/integrations-engineer-hebbia-ai-new-york-rm67s36hdwt3' type: 'job' last_seen: '2026-09-26' --- # Integrations Engineer at Hebbia AI - **Company:** Hebbia AI - **Location:** New York, NY - **Compensation:** $160k–$265k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-20 - **Last confirmed live:** 2026-09-26 - **Apply:** https://jobs.ashbyhq.com/hebbia-ai/6cf5b93f-c465-497f-811a-008050c143e7/application **Skills:** Python, APIs, OAuth flows, Webhook patterns, AWS, Kafka, PostgreSQL, Redis, ElasticSearch, Distributed systems, Data pipelines, Snowflake, SharePoint, Salesforce, Document processing pipelines, Content extraction systems, Agentic systems, LLM-enabled products, AI tools (Cursor, Claude Code) > The Integrations Engineer owns the full lifecycle of data ingestion pipelines, building resilient connectors to enterprise systems like Snowflake, SharePoint, and S3. This hands-on role involves debugging real-world API failures, monitoring system reliability, and designing scalable data pipelines for Hebbia's AI pl... ## Job 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 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 #LI-Onsite ## About Hebbia AI ## Company Overview - **One-liner**: Hebbia builds AI agents purpose-built for finance, law, and other high-stakes knowledge work, enabling complex task automation over vast document sets. - **Entity Type**: Private (Series B, $161.1M total funding) - **Headquarters**: New York, New York, United States - **Founded**: 2020 - **Founders**: George Sivulka ## Core Business - **Primary Industry**: Artificial Intelligence for Finance and Professional Services - **Target Customers**: B2B – investment banks, asset managers, hedge funds, Fortune 500 companies, law firms, and consulting firms - **Mission / Purpose**: Deliver “the AI you were promised” – useful, citation-backed AI that handles real finance workflows at institutional scale. ## Products & Services - **Hebbia Matrix**: Enterprise AI agent platform that interprets complex tasks, breaks them into sub-actions, and reasons over large corpora of documents (filings, research, internal docs, data feeds). Includes features like intelligent search, slide generation, spreadsheet creation, and automated workflow execution. Integrates with data providers (FactSet, S&P Capital IQ, PitchBook, etc.) and content stores (SharePoint, Box, Dropbox, AWS S3, email). Delivers citation-backed answers. ## Market Standing - **Valuation**: Not publicly disclosed (recent Series B at $130M suggests significant growth; some sources hint at $1.5B+ post-money but unconfirmed). - **Key Metrics**: - **Total Funding**: $161.1M (Pre-seed $1.1M led by Floodgate; Series A $30M led by Index Ventures; Series B $130M led by Andreessen Horowitz) - **AUM of Firms Using Hebbia**: $30 trillion - **Average Prompts Per Day**: 200,000 - **Tokens Processed by Investors**: 2 trillion+ - **Notable Investors / Partners**: Andreessen Horowitz, Peter Thiel, Index Ventures, Floodgate. Integrates with Snowflake, FactSet, S&P Capital IQ, Guidepoint, Third Bridge, and more. - **Growth Signals**: - Headcount grew 17.9% year-over-year to 124 employees (as of early 2026). - 41 open positions across engineering, GTM, AI strategy, and design. - Acquired FlashDocs in June 2025. - Used by over 40% of the largest asset managers by AUM and top investment banks. - Expanding internationally (offices in NYC, SF, London; remote roles in APAC and Middle East). ## Competitive Advantages - **First-mover advantage in LLM productionization**: One of the first companies to use LLMs in production (2020) and pioneer retrieval-augmented generation (RAG). - **Proprietary ISD architecture**: Matrix goes beyond chat – it runs complex, multi-step workflows defined by the client’s processes. - **Deep domain focus**: Employees include former bankers, investors, lawyers, and consultants who understand finance workflows intimately. - **Enterprise-grade security**: ISO/IEC 42001:2023, SOC 2 Type II, end-to-end encryption (AES-256, TLS 1.2+), no training on user data, GDPR, CCPA compliant. - **Network effects**: Every insight and workflow a firm encodes becomes institutional knowledge reused across the team, increasing switching costs. ## Strategic Focus - **Deepen finance vertical**: Continue replacing manual analyst workflows with AI agents for origination, screening, diligence, and reporting. - **Expand into law and consulting**: Already serving legal and consulting firms, with dedicated AI Strategist roles for corporate law. - **Scale agent collaboration**: Building “Agent Collaboration Platform” to let multiple agents work together on complex tasks. - **International growth**: Establishing sales presence in UK/Europe, APAC, and Middle East. ## Why Work Here - **Culture**: High ownership, hard problems, and cross-domain collaboration. Team includes ex-bankers, ex-McKinsey, ex-Google, ex-Microsoft, ex-Stripe. “The best work happens when the people doing it actually care.” - **Work Arrangement**: Hybrid model with offices in Downtown New York, San Francisco, and London; some fully remote roles available (APAC, Middle East, certain GTM roles). - **Perks**: - Startup equity - Competitive salary - Daily catered lunches - Flexible PTO - Comprehensive medical, dental, vision insurance - Fertility HRA - Parental leave - **Engineering Culture**: - Small, high-impact teams. - Focus on reliability, scalability, and pushing the limits of applied AI. - 34 technical staff (22% of company). - Active open-source? Not mentioned, but strong internal R&D. - **Growth Trajectory**: Rapidly scaling headcount (17% YoY), raising large rounds, and acquiring complementary tech – typical for a high-growth startup with significant market traction. ## Sources 1. [hebbia.com](https://www.hebbia.com/) 2. [hebbia.com/about](https://www.hebbia.com/about) 3. [hebbia.com/careers](https://www.hebbia.com/careers) 4. [LinkedIn/Heebia](https://www.linkedin.com/company/hebbia) 5. [PitchBook - Hebbia Profile](https://pitchbook.com/profiles/company/439260-40) ## Other roles at Hebbia AI - [Director, Business Operations](https://feeny.ai/job/director-business-operations-hebbia-ai-new-york-f9gc0t3c35fg) — New York, NY - [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-hebbia-ai-new-york-91a5m8skzdhp) — New York, NY - [AI Strategist, Corporate Law](https://feeny.ai/job/ai-strategist-corporate-law-hebbia-ai-new-york-frrkxcqjsbx3) — New York, NY - [Forward Deployed Investor (AI Strategist)](https://feeny.ai/job/forward-deployed-investor-ai-strategist-hebbia-ai-new-york-b5hnwcxzcjkx) — New York, NY - [Forward Deployed Banker (AI Strategist)](https://feeny.ai/job/forward-deployed-banker-ai-strategist-hebbia-ai-new-york-5rm6rzdk10vt) — New York, NY - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-hebbia-ai-new-york-dwpgd96kzfmh) — New York, NY - [Client Partner](https://feeny.ai/job/client-partner-hebbia-ai-new-york-j8svsyb0evzf) — New York, NY - [Software Engineer, Site Reliability](https://feeny.ai/job/software-engineer-site-reliability-hebbia-ai-new-york-vsr7w349qyyp) — New York, NY - [Technical Recruiter](https://feeny.ai/job/technical-recruiter-hebbia-ai-new-york-pmpz5qabv2a4) — New York, NY - [GTM Recruiter](https://feeny.ai/job/gtm-recruiter-hebbia-ai-new-york-47jkm086464c) — New York, NY