
Hebbia
New York, NY
AI platform for complex knowledge work in finance
About
Hebbia builds AI agents that analyze unstructured data like documents and filings to generate insights, spreadsheets, and presentations. It serves asset managers, investment banks, and law firms handling high-stakes research and diligence. This accelerates workflows previously done manually, enabling faster and more accurate decision-making on trillions in assets.
Tech stack
Python, AWS, Go, Kafka, Postgres, Redis, Elasticsearch, Java, Salesforce, Airflow, Claude, C++, Rust, Kubernetes, SQL
Perks & benefits
Equity, Competitive salary, Commuter benefits, Unlimited PTO, Health insurance, Dental insurance, Vision insurance, Free lunch, Fertility benefits, Parental leave
More AI companies
AI companiesStockholm, Sweden
San Francisco, CA
San Francisco, CA
San Francisco, CA
San Francisco, CA
San Francisco, CA
Open jobs
24Build and operate Hebbia’s AWS infrastructure and developer platform entirely through code. The role focuses on multi-account architecture, CI/CD, container orchestration, cloud cost controls, security compliance, and scalable platform foundations, requiring 5+ years of production cloud infrastructure experience.
Talent Coordinator supporting recruitment operations at an AI startup. Coordinates interviews, manages ATS records, posts jobs, assists with onboarding, and supports office operations in a 5-day onsite NYC role.
AI Strategist bridging legal expertise with AI deployment at financial institutions. Requires law degree and 5-7+ years commercial legal experience (PE/M&A preferred); drives LLM adoption, value creation, and post-sales growth for Hebbia's platform.
Generate outbound pipeline and qualify prospects for the enterprise sales team at an AI platform for investors and bankers. Requires 1+ year of sales development experience and a bachelor's degree.
Drive strategic deployment of AI platform at top financial institutions. Bridge product, GTM, and post-sales to maximize customer ROI through LLM expertise and domain knowledge in banking and legal workflows.
Own and optimize the GTM tech stack including Salesforce, Gong, Outreach, Apollo, and Clay. Build AI-powered workflows and automations to eliminate manual work and drive revenue team efficiency.
Own and optimize the technical backbone of the revenue engine by building AI-powered workflows, administering the full GTM tech stack (Salesforce, Gong, Outreach, Apollo, Clay), and replacing manual processes with automation. Requires 4-7 years in RevOps/GTM Systems at B2B SaaS and strong experience with APIs, prompt engineering, and vendor management.
Embedded with strategic finance customers to build custom integrations and domain-specific solutions on Hebbia’s AI platform. Hands-on full-stack engineer who owns production code, prototypes rapidly, and bridges customer needs with core engineering.
Build and maintain production-grade data integrations and ingestion pipelines connecting enterprise systems to Hebbia's AI platform. Requires 2-5 years experience with Python, backend services, and API integrations in a high-ownership, on-call production environment.
Guide enterprise financial services customers through Hebbia adoption and value realization as a trusted Client Partner. Drive feature adoption, manage relationships, solve problems cross-functionally, and own renewals and expansion.
Site Reliability Engineer who owns production services end-to-end, writes production code, builds observability and internal tooling, and embeds with product teams to improve reliability and performance. Requires 5+ years experience and strong systems programming skills.
Lead full-cycle recruiting for Engineering, Product, and Design roles at an AI startup. Source elite technical talent, partner with leadership on hiring plans, and deliver high-touch candidate experiences.
Full-cycle recruiter owning GTM hiring for Sales, Sales Ops, Solutions, and Customer Success at a high-growth AI startup. Requires 4+ years of GTM recruiting experience in fast-paced environments.
Drive strategic deployment of Hebbia’s AI platform at top global financial institutions. Bridge product, commercial strategy, and post-sales to maximize ROI and expand use cases across banking and investment workflows.
AI Strategists at Hebbia drive strategic deployment and value creation of the AI platform for top global financial institutions. They bridge GTM, product, and post-sales to embed AI into complex finance workflows, maximize ROI, and inform product and commercial strategy. Requires 1-5 years client-facing finance experience and LLM familiarity.
Account Executive responsible for full sales cycle ownership, stakeholder mapping, and closing enterprise deals for Hebbia's AI platform in financial services and related verticals. Requires 8+ years enterprise SaaS sales experience.
Own and grow strategic relationships with Hebbia's largest finance clients. Act as trusted advisor translating complex needs into AI solutions while driving enterprise adoption and revenue growth.
Brand Designer to own and evolve Hebbia's premium visual identity across marketing, product, events, and content for a high-growth AI fintech startup. Requires 5+ years experience and strong typography/composition skills.
Bridge research and production to build agentic LLM and NLP systems for finance and legal workflows. Own experiments combining latest research with customer use cases while embedding in the full software development lifecycle.
Backend engineer building high-scale agent collaboration systems and document indexing infrastructure for an AI platform serving finance professionals. Requires 5+ years backend experience with Python/Java/Go, AWS, and distributed systems.
Build and scale backend systems for AI agents, including high-scale document indexing, distributed infrastructure, and performance optimization. Requires 5+ years backend experience with Python/Java/Go, AWS, and databases like Kafka or Elasticsearch.
Build and maintain backend systems powering data indexing, retrieval, and integrations for Hebbia's AI platform. Requires 5+ years backend experience with Python/Java/Go, AWS, and databases like PostgreSQL or Redis.
Platform Engineer building high-scale distributed document indexing and search systems for an AI platform serving top financial institutions. Requires 5+ years experience in backend/distributed systems with Python/Java/Go and cloud infrastructure.
Own technical strategy and lead complex enterprise evaluations for Hebbia's AI platform. Conduct technical discovery, design AI workflows, deliver demos, and partner with Sales to drive revenue in banking and asset management sectors.