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Full-Time

Staff Software Engineer

Platform

Confirmed live in the last 24 hours

Hebbia

Hebbia

51-200 employees

AI-powered browser extension for efficient information retrieval

Consulting
Enterprise Software
Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$190k - $250kAnnually

+ Equity Plan

Senior, Expert

New York, NY, USA

Category
Backend Engineering
Software Engineering
Required Skills
Python
Data Science
Apache Kafka
Java
Postgres
AWS
Elasticsearch
Redis
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering.
  • Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.
  • Deep understanding of scalable system design, performance optimization, and resilience engineering.
  • Extensive experience with cloud platforms (e.g., AWS)
  • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
  • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
  • Proven experience in leading software development projects and collaborating with cross-functional teams.
  • Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
  • Enthusiasm for continuous learning and professional growth.
  • A passion for exploring new technologies, frameworks, and software development methodologies.
  • Embraces rapid prototyping with an emphasis on user feedback.
  • Autonomous and excited about taking ownership over major initiatives.
Responsibilities
  • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
  • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
  • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
  • Meet with users: Serve as a deployed engineer to build customer empathy that enables us to create innovative solutions that drive meaningful value.
  • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Hebbia.ai enhances online information retrieval with its AI-powered browser extension that improves the traditional "Ctrl F" function. This tool understands the context of user queries and quickly highlights relevant information in lengthy documents, making it especially useful for professionals like researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search features, Hebbia's approach allows for faster and more accurate information processing. Currently in private beta, the company plans to monetize its product through subscription fees or licensing agreements, aiming to provide significant value to users by optimizing their workflow. Hebbia.ai's goal is to transform how professionals access and comprehend information, making retrieval up to 20 times faster than conventional methods.

Company Stage

Series B

Total Funding

$124.1M

Headquarters

New York City, New York

Founded

2020

Growth & Insights
Headcount

6 month growth

53%

1 year growth

176%

2 year growth

590%
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Simplify's Take

What believers are saying

  • Hebbia's $130 million Series B funding round positions it for aggressive growth and product development, enhancing its market presence.
  • The company's partnerships with major financial firms and plans to expand into the legal sector indicate a broadening market reach and diversified revenue streams.
  • Hebbia's AI-driven document search tool has already proven its value in critical situations, such as during the Silicon Valley Bank crisis, showcasing its practical utility and reliability.

What critics are saying

  • The competitive landscape for AI-powered search tools is intensifying, with significant players like Guru and Degreed also vying for market share.
  • Hebbia's focus on specialized sectors may limit its scalability and ability to attract a broader user base.

What makes Hebbia unique

  • Hebbia's AI-powered search tool offers context-aware information retrieval, making it significantly more efficient than traditional search functions.
  • The company's focus on specialized sectors like finance and law allows it to tailor its solutions to meet the unique needs of these industries, unlike more generalized AI search tools.
  • Hebbia's rapid growth and substantial funding from top-tier investors like Andreessen Horowitz and Peter Thiel highlight its strong market potential and investor confidence.