Product Security Engineer, Harvey

Infrastructure

$200-280k

+ Equity

AWS
Kubernetes
Azure
Mid and Senior level
San Francisco Bay Area
Harvey

Generative AI for legal teams

Job no longer available

Harvey

Generative AI for legal teams

201-500 employees

B2BArtificial IntelligenceLegalSaaS

Job no longer available

$200-280k

+ Equity

AWS
Kubernetes
Azure
Mid and Senior level
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceLegalSaaS

Company mission

To help build the future of professional services.

Role

Who you are

  • 4+ years experience in Security, Software Engineering, or Site Reliability Engineering roles
  • Strong fundamentals in networking, operating systems, and cryptographic protocols
  • In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors
  • Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments
  • Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud)
  • Software development experience
  • This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees

What the job involves

  • You will report to our Head of Security and play a key role in securing the infrastructure that powers our main product, Harvey
  • As an early member of our Security team, you will help lay the foundations of the security and privacy
  • Your focus will be to secure customer data in our main product, for example by designing and implementing process and technologies for least privilege, isolating different components, managing attack surface, and by implementing layers of tenant isolation on our multi-tenant SaaS offering
  • As the company grows, you will work towards allowing our research and engineering teams to move more quickly and autonomously by building guardrails and repeatable patterns for managing their infrastructure
  • Incorporate secure design principles into our cloud architecture
  • Deploy infrastructure security solutions in collaboration with our infrastructure team, e.g. for production access management, certificate management, and audit logging
  • Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team
  • Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC)
  • Audit our existing cloud environment for vulnerabilities
  • Develop policies and procedures for the secure creation and operation of our cloud environments

Our take

The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies Gen AI that can assist with documentation, as well as aid research and optimize workflows.

Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.

Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds will be used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 5 rounds)

Jul 2024

$100m

SERIES C

Dec 2023

$80m

SERIES B

Total funding: $206.1m

Company benefits

  • Comprehensive health, dental and vision coverage
  • Retirement benefits (401k match up to 4%)
  • Flexible PTO

Company HQ

SoMa, San Francisco, CA

Leadership

Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.

Gabe Pereyra

(President)

Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.

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