Finance Systems Analyst, Harvey
$136-204k
+ equity + bonus
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$136-204k
+ equity + bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 4–6+ years of experience working with NetSuite or similar ERP systems in a finance or systems-focused role
- Strong understanding of accounting processes, including month-end close, AP/AR, and basic revenue concepts
- Experience working with system integrations and data flows across finance tools (e.g., expense, procurement, payroll systems)
- Ability to translate business and accounting requirements into system configurations and improvements
- Strong analytical and problem-solving skills, with a focus on identifying root causes and implementing long-term solutions
- Comfortable working in a fast-paced environment and collaborating with multiple stakeholders across finance and business teams
What the job involves
- We are looking for a Finance Systems Analyst to support and scale our core finance systems, with a primary focus on NetSuite and related integrations. This role sits at the intersection of Accounting, Finance, and Systems, and is critical in ensuring that our financial processes are accurate, efficient, and system-driven
- Today, many finance processes still involve manual work or require intervention due to gaps in system design, data structure, or integrations
- This role will focus on identifying those gaps, stabilizing existing processes, and driving improvements that reduce manual effort and improve data reliability. As the company continues to scale, this role will play a key part in building a strong, scalable finance systems foundation
- Own and support NetSuite functionality across key areas such as GL, AP, AR, billing, and reporting, ensuring the system is reliable and aligned with business needs
- Work closely with Accounting to understand current workflows, identify inefficiencies, and convert manual processes into system-driven solutions
- Maintain and improve data integrity across finance systems by managing mappings (GL, vendors, cost centers) and resolving inconsistencies at the source
- Support billing and revenue processes by ensuring correct system behavior, especially in areas like billing schedules, adjustments, and downstream revenue impact
- Troubleshoot system and integration issues, perform root cause analysis, and implement scalable fixes rather than temporary workarounds
- Collaborate with cross-functional teams (Procurement, Payroll, RevOps) to support finance-related system improvements and ensure smooth data flow across systems
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 generative 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 are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)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
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
Salary benchmarks
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