Newrelic
Deal Desk Analyst
San Francisco, California, USA. Posted a month ago
The role
This person will structure profitable and compliant transactions to maximize product value and revenue. They will work with cross-functional teams to review order forms, manage data quality in SFDC, and ensure compliance with revenue recognition policies.
What you will do
- Cultivate and sustain strong working relationships with business partners like Finance, Legal, and Support.
- Work with cross functional teams on complex pricing and commercial terms.
- Build and review order forms for accuracy and compliance with internal policies.
- Deliver ongoing education and training to Sales regarding non-standard deal processes.
- Prepare and review contracts for compliance with revenue recognition and Deal Desk policies.
- Safeguard and manage data quality in SFDC for proposed and closed quotes and deals.
Required qualifications
- 2+ years of Finance/Operations experience in a high-tech environment
- Demonstrated capability to build strong working relationships with internal business units and across regions
- Strong communication, organizational and problem-solving skills
- High attention to detail
- Willingness to cover various time zones and work extra hours as needed
- Bachelor's Degree in Business or a similar field
Nice to have
- order entry experience
- Proficiency with SalesForce and MS Excel / Google Sheets
- Experience with Salesforce CPQ
- Ability to work without supervision in a fast-paced high-tech environment
- Experience with utilizing Gemini AI
Benefits
- healthcare
- dental
- vision
- parental leave and planning
- mental health benefits
- 401(k) plan and match
- 11 paid holidays
- volunteer time off
- paid time-off
Before you apply
- visa sponsorship is not available
- criminal background check is required
- Certain roles require candidates to pass an export compliance assessment
About the company
New Relic is a global team of innovators that builds an intelligent platform for observability. They aim to empower companies to thrive in an AI-first world by providing insight into complex systems.