Hebbia jobs, judged for you, free

What they do

Hebbia makes an AI platform for investors and bankers. Its flagship product, Matrix, analyzes documents for finance work such as due diligence (checking a company before a deal), contract review, and earnings analysis. Clients include BlackRock, KKR, Carlyle, and Centerview. Hebbia says firms that use it manage over $30 trillion in assets. George Sivulka founded it in 2020.

What they value

• Run hard: work with intensity and own outcomes like a founder.
• Readiness: learn fast, adapt, and do well when things are not clear.
• Compassion: respect other views and invest in the success of the team.
• Cogency: think in a clear structure and communicate clearly.
• Care about getting difficult things right in finance.

Where they hire

All 20 Postings are in New York City. The nine engineering roles and one operations role are also open in San Francisco. Every role is on site, and the Postings say the team works in person five days a week. No Posting is remote. No Posting mentions visa sponsorship.

Teams and roles

Engineering has 9 of the 20 Postings. AI Strategy has 5.

• Engineering: backend engineers for agents, growth and data, and the agent collaboration platform. Also a platform engineer for document intelligence, infrastructure and site reliability engineers, who keep systems running, an integrations engineer, a forward deployed engineer, and an applied research engineer for agents. Agents are AI that carries out tasks on its own.
• AI Strategy: AI strategists at several levels, including forward deployed bankers and investors, and one for corporate law. They deploy Hebbia at customers and grow its use there.
• Sales and operations: an enterprise account executive, a solutions engineer, and a director of business operations.
• Post-sales: a client partner.
• People: a technical recruiter and a recruiter for go-to-market (sales and marketing) roles.

What they look for

Most engineering roles ask for 5+ years at a venture-backed startup or top technology firm. The applied research role asks for 7+. Backend roles ask for Python, Java, or Go, AWS, and tools such as Kafka, ElasticSearch, PostgreSQL, or Redis. Engineering Postings value work on AI agents or products built on large language models (LLMs, the AI behind chat tools), and daily use of AI coding tools such as Cursor or Claude Code. AI Strategist roles ask for 1 to 5 years of client-facing work in investment banking, investing, professional services, or corporate finance. They also want comfort with leading LLMs. The principal role asks for 10+ years, and the corporate law role for 5 to 7 years of commercial legal work. The enterprise account executive needs 8+ years of selling online software to large companies.