Deal Operations Analyst, Harvey
$108.3-162.5k
Offers Equity • Offers 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
$108.3-162.5k
Offers Equity • Offers Bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management
- Strong attention to detail and comfort working with complex deal structures
- Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows
- Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized
- Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar)
- Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts
- Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders
- Comfortable operating in a fast-paced, evolving environment where processes are still being defined
What the job involves
- We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization
- This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed
- This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows
- Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing
- Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene
- Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders
- Act as a frontline support resource for SFDC and CPQ-related questions from Sales
- Assist with CRM and CPQ enhancements, including:
- Gathering and drafting business requirements
- Supporting user acceptance testing (UAT) and QA
- Helping roll out new workflows, fields, or guardrails
- Contribute to sales and deal desk enablement, including documentation, process guides, and training support
- Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement
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.
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