Backend Engineer, Growth and Data at Hebbia

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred
5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering
Proficiency in building backend and API systems using technologies such as Python, Java, or Go
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 exploiting

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
Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth

Skills

Key technologies and capabilities for this role

APIsSnowflakeS3SharePointDropboxIntegrationsScalabilityInfrastructureData IndexingRetrieval

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

The role requires working in person 5 days a week at the SoHo office in NYC.

What is the salary for this Backend Engineer role?

This information is not specified in the job description.

What are the key responsibilities for this position?

Key responsibilities include owning critical system components, building high-scale document indexing systems, driving performance optimization, and mentoring junior engineers.

What is the work environment like on the Growth and Data team?

The team works in person 5 days a week at the SoHo office in NYC and focuses on sourcing, indexing, and enriching content to power the AI platform, with a culture that includes technical leadership and mentorship.

What education is required for this role?

A Bachelor's or Master's degree in Computer Science or Data Science is required.

Hebbia

AI-powered browser extension for efficient information retrieval

About Hebbia

Hebbia.ai offers an AI-powered browser extension that enhances the traditional search function by understanding the context of user queries. This tool quickly highlights the most relevant information in lengthy documents, making it easier for users to find what they need. It is particularly useful for professionals such as researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search tools, Hebbia's extension provides a more efficient way to sift through large amounts of text, improving information retrieval speed significantly. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements in the future. Hebbia aims to optimize workflows for its users by providing a solution that is 20 times faster than traditional methods.

New York City, New YorkHeadquarters

2020Year Founded

$155.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

High development costs could strain Hebbia's financial resources as it scales operations.

Increased competition from established AI players may overshadow Hebbia's offerings.

Shifting focus to the legal sector may pose challenges in product adaptation.

Differentiation

Hebbia offers AI search with transparent processes, unlike black-box competitors.

The platform enhances traditional search with AI, improving document comprehension significantly.

Hebbia's AI tool is tailored for professionals in finance, law, and pharma sectors.

Upsides

Hebbia raised $130M, indicating strong investor confidence in its AI search platform.

The legal sector expansion offers new market opportunities for Hebbia's AI solutions.

Partnerships with financial firms validate Hebbia's market fit in AI-driven document search.

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