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Anrok is a tax automation platform helping businesses expand globally without compliance complexity. The company serves 40% of Forbes Top 50 AI companies and 20% of Forbes Top 100 Cloud companies, backed by over $100M from leading investors including Spark Capital, Sequoia, Index, and Khosla Ventures.
As Deal Desk Manager, you will own the commercial engine behind every Anrok deal. You'll be the primary partner to the sales team on deal structuring, pricing, and approvals, helping close deals quickly and cleanly while extracting insights from deal data to improve future deals.
Key responsibilities:
- Own the Deal Desk function end-to-end: deal structuring, pricing and discount approvals, quoting, and order forms
- Serve as primary point of contact for Account Executives and Account Managers on non-standard deals, advising on pricing, terms, and contract options
- Design and refine pricing guardrails and approval workflows to accelerate standard deals and ensure exceptions receive appropriate scrutiny
- Analyze deal data—discounting patterns, pricing trends, win/loss signals—to sharpen pricing guidance and provide GTM leadership visibility
- Partner with Finance, Legal, and GTM Systems to maintain accuracy and audit readiness throughout the quote-to-cash process
- Build and document pricing scenarios, approval criteria, and deal processes that enable the sales team to operate independently and efficiently
Required qualifications:
- 3+ years in Deal Desk, Sales Operations, or Revenue Operations at a B2B SaaS company (direct deal desk experience preferred)
- Exceptional attention to detail with ability to identify and resolve pricing errors and workflow issues
- Strong analytical skills with fluency in spreadsheets and ability to extract insights from deal data
- Sound commercial judgment balancing deal velocity with pricing discipline
- Hands-on Salesforce experience (CPQ or quoting tools experience is a plus)
- Curiosity about AI tools; demonstrated experience building or implementing AI solutions in work or personal projects
The role is based in San Francisco with a hybrid model (3 days/week in office). Remote candidates outside the Bay Area can work fully remote.
