Engineering Manager, Core Infrastructure at Harvey

San Francisco, California, United States

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$250,000 – $300,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Legal Tech, Artificial Intelligence, Professional ServicesIndustries

Requirements

2+ years of engineering management experience and 5+ years of hands-on infrastructure engineering
Deep expertise in cloud platforms (AWS, GCP, or Azure), Kubernetes, and infrastructure-as-code tooling (Terraform, Pulumi)
Strong understanding of observability stacks (e.g. Datadog, Sentry) and incident response workflows
Experience with CI/CD, networking, and security principles at scale
A track record of designing and scaling systems with reliability and performance in mind
Excellent communication and collaboration skills, with a bias toward clarity and action
A systems mindset and passion for simplifying complex infrastructure
A track record of leading complex cross-functional projects and delivering measurable impact

Responsibilities

Lead and grow a team of engineers focused on infrastructure, networking, and platform reliability
Own cloud operations, scaling worldwide while ensuring high availability and performance
Drive key initiatives around observability, cost optimization, disaster recovery, and infrastructure security
Oversee infrastructure-as-code practices across the engineering org
Guide technical decision-making for container orchestration, service meshes, data infrastructure, and more
Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment
Collaborate cross-functionally to align infrastructure work with product roadmap and company goals
Foster a culture of operational excellence, blameless incident response, and continuous improvement

Skills

Cloud Infrastructure

Observability

Container Orchestration

Kubernetes

Platform Reliability

Engineering Management

Team Leadership

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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