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 enabling constant-time indexing latency across content volumes.
- Architect and implement performance optimizations that minimize latency and maximize throughput across millions of documents.
- Provide technical leadership, mentorship, and guidance to junior engineers.
- Collaborate with customers and cross-functional teams to address real-world document intelligence challenges.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Statistics, or a related field, with relevant coursework in data structures, algorithms, and software development preferred.
- 5+ years of software development experience at a venture-backed startup or top technology firm, focused on distributed systems and platform engineering.
- Proficiency building backend and distributed systems with Python, Java, or Go.
- Deep understanding of scalable system design, performance optimization, and resilience engineering.
- Extensive experience with cloud platforms such as AWS.
- Experience with one or more of Kafka, Elasticsearch, PostgreSQL, or Redis.
- Knowledge of workflow orchestration and execution platforms such as Airflow, Temporal, or Prefect.
- Experience enabling observability patterns and leading software development projects.
- Strong problem-solving, communication, collaboration, ownership, and mentoring abilities.
- Preferred experience with distributed systems technologies such as etcd or Apache Zookeeper.
- 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 grant.
- Onsite role.
Tech Stack
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.