Director of Engineering, Data at Harvey

San Francisco, California, United States

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$320,000 – $360,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Legal TechnologyIndustries

Requirements

Experience with large-scale data engineering
Experience with complex information retrieval
Experience building the backbone of cutting-edge AI systems
Leadership experience scaling data organizations
Experience defining strategic roadmaps for data ecosystems
Experience designing and evolving data architecture
Experience designing and overseeing large-scale data ingestion pipelines
Experience integrating private and partner data sources
Experience evaluating and implementing data infrastructure technologies
Experience collaborating with AI teams to improve AI quality
Experience driving the development of research experiences
Cross-functional partnership experience

Responsibilities

Lead and scale the Data organization
Partner with leadership to define the strategic roadmap for the data ecosystem
Own and evolve Harvey’s end-to-end data architecture
Design and oversee large-scale data ingestion pipelines
Integrate private and partner data sources
Evaluate and implement data infrastructure technologies
Collaborate with the Applied AI team to drive experimentation and model improvements
Drive the development of end-to-end research experiences
Partner cross-functionally with Product Engineering, Applied AI, Research, and other teams

Skills

Key technologies and capabilities for this role

Data EngineeringAIData SystemsArchitectureStrategyTeam Leadership

Questions & Answers

Common questions about this position

What is the salary range for the Director of Engineering, Data position?

The salary range is $320K - $360K.

Is this role remote or hybrid?

The position is hybrid.

What are the key responsibilities for this role?

You will lead and scale the Data organization, partner with leadership on the strategic roadmap, and own the end-to-end data architecture from ingestion to retrieval.

What is the culture like at Harvey?

The team is sharp, motivated, and committed to the mission, moving fast with intensity, taking ownership, staying close to customers, and thriving in ambiguity while pushing for excellence.

What experience makes a strong candidate for this role?

Ideal candidates have expertise in large-scale data engineering, complex information retrieval, and building infrastructure for cutting-edge AI systems, with the ability to lead teams and shape strategy in ambiguous environments.

Harvey

Custom AI solutions for law firms

About Harvey

Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$200.4MTotal Funding

SERIES_CCompany Stage

Cybersecurity, LegalIndustries

201-500Employees

Risks

Over-reliance on partnerships could lead to strategic vulnerabilities if they dissolve.

LexLegis.ai's global expansion poses a competitive threat in legal research.

Rapid AI innovation and crowded CLM market may challenge Harvey's growth.

Differentiation

Harvey offers custom LLMs tailored for elite law firms' complex legal challenges.

The company provides a unified interface for legal workflows, enhancing efficiency.

Harvey's BigLaw Bench evaluates AI accuracy in legal tasks, setting industry standards.

Upsides

Partnership with Icertis enhances contract analysis and risk assessment capabilities.

Expansion into Japan with Mori Hamada Matsumoto opens new revenue streams.

Revamped GenAI Assistant improves user experience and output quality for legal professionals.

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