1 year ago
Base Salary
$160k - $350k/yr
Responsibilities
- Own complex system components and turn requirements into robust, scalable solutions for customer needs
- Build and iterate on a high-scale document build system enabling constant-time indexing latency across varying data volumes
- Architect and implement performance optimizations to minimize latency and maximize throughput across millions of documents
- Build and maintain backend APIs, services, infrastructure, integrations, and personalized data experiences
- Collaborate with product teams, designers, and frontend engineers from design through deployment
- Mentor and guide junior engineers
Requirements
- Bachelor’s or master’s degree in computer science, data science, statistics, or a related field, with preferred coursework in data structures, algorithms, and software development
- At least 5 years of software development experience at a venture-backed startup or top technology firm, focused on backend engineering
- Proficiency building backend and API systems with Python, Java, or Go
- Extensive experience with cloud platforms such as AWS
- Experience with one or more of Kafka, Elasticsearch, PostgreSQL, and Redis
- Ability to analyze complex problems, develop innovative solutions, and communicate technical concepts to technical and non-technical stakeholders
- Experience leading software development projects and collaborating with cross-functional teams
- Experience with agentic systems or LLM-enabled products is a bonus
- Frequent use of AI products such as Cursor or Claude Code during development is a bonus
Benefits
- Unlimited PTO
- Medical, dental, vision, and 401(k) benefits
- Catered lunch daily and a DoorDash dinner credit when staying late
- Parental leave of 3 months for non-birthing parents and 4 months for birthing parents
- $15,000 lifetime fertility benefit
- Competitive new-hire equity package
- Onsite role
Tech Stack
Categories
About Hebbia
Hebbia builds a generative-AI research and document analysis platform for finance and professional services, used to surface insights across filings, research, and internal data and to automate analyst workflows. Its flagship product, Matrix, is sold as enterprise software to investment banks, asset managers, private equity firms, and corporate finance teams. Founded in 2020 and headquartered in New York, the company is privately held and counts major Wall Street firms among its customers.