1 year ago
Base Salary
$160k - $350k/yr
Responsibilities
- Own critical system components by translating complex requirements into robust, scalable solutions for customer needs.
- Build and iterate on a high-scale document build system targeting constant-time indexing latency regardless of data volume.
- Architect and implement performance optimizations to minimize latency and maximize throughput across millions of documents.
- Mentor and guide junior engineers while providing technical leadership.
- Develop backend software, agentic solutions, distributed systems, data models, integrations, and API infrastructure.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of software development experience at a venture-backed startup or top technology firm, focused on backend software 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, propose innovative solutions, and communicate technical concepts to technical and non-technical stakeholders.
- Experience leading software development projects and collaborating with cross-functional teams.
- Strong interpersonal and communication skills.
- Enthusiasm for continuous learning, new technologies, frameworks, and software development methodologies.
- Experience building agentic systems or LLM-enabled products is a bonus.
- Frequent use of AI products such as Cursor or Claude Code during the development lifecycle is a bonus.
Benefits
- Unlimited PTO
- Medical, dental, and vision insurance
- 401(k)
- Catered lunch daily
- 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 grant
- 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.