Snorkel AI

2 months ago

Deal Desk Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Deal Desk Manager overseeing end-to-end deal lifecycle, coordinating across Sales, Finance, and Legal to structure, price, approve, and finalize deals while building scalable deal desk processes, workflows, and data integrity across CRM and CLM systems.

Location: Redwood City, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Revenue Operations (RevOps)

Seniority: Manager level

Key Responsibilities

•Own the end-to-end deal process from pricing through execution, ensuring deals meet pricing guidelines, discounting policies, and commercial standards
•Assemble, review, and quality-check order forms and commercial documentation for accuracy and completeness
•Coordinate cross-functional approvals across Finance, Legal, and GTM leadership to minimize friction in the deal pipeline
•Conduct final review of all deals prior to execution, serving as the last line of quality control before signature
•Support the pricing and commercial sections of RFP/RFI responses in partnership with Sales and PMM

Pay and Benefits

Salary: USD 128,000 - 192,000 annually

Key Requirements

•5–7+ years of experience in Deal Desk, Order Management, Sales Operations, or Revenue Operations at high-growth technology companies
•Experience supporting enterprise sales organizations through complex, multi-stakeholder deal cycles
•Strong working knowledge of CPQ, CRM (Salesforce), and CLM (Ironclad or similar) platforms
•Demonstrated ability to build or significantly improve deal desk processes, not just operate within existing ones
•Commercial judgment and the confidence to push back constructively on senior sales stakeholders when deal structures fall outside policy

Experience:5-7 yearsDeal deskSales operationsRevenue operations

Skills:CommunicationAttention to detailCross-functional collaborationProblem-solving

Languages:English

Tech Stack:SalesforceCPQIroncladCRMCLM

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn

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Snorkel AI

2 months ago

Deal Desk Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Redwood City, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Revenue Operations (RevOps)

Seniority: Manager level

Key Responsibilities

•Own the end-to-end deal process from pricing through execution, ensuring deals meet pricing guidelines, discounting policies, and commercial standards
•Assemble, review, and quality-check order forms and commercial documentation for accuracy and completeness
•Coordinate cross-functional approvals across Finance, Legal, and GTM leadership to minimize friction in the deal pipeline
•Conduct final review of all deals prior to execution, serving as the last line of quality control before signature
•Support the pricing and commercial sections of RFP/RFI responses in partnership with Sales and PMM

Pay and Benefits

Salary: USD 128,000 - 192,000 annually

Key Requirements

•5–7+ years of experience in Deal Desk, Order Management, Sales Operations, or Revenue Operations at high-growth technology companies
•Experience supporting enterprise sales organizations through complex, multi-stakeholder deal cycles
•Strong working knowledge of CPQ, CRM (Salesforce), and CLM (Ironclad or similar) platforms
•Demonstrated ability to build or significantly improve deal desk processes, not just operate within existing ones
•Commercial judgment and the confidence to push back constructively on senior sales stakeholders when deal structures fall outside policy

Experience:5-7 yearsDeal deskSales operationsRevenue operations

Skills:CommunicationAttention to detailCross-functional collaborationProblem-solving

Languages:English

Tech Stack:SalesforceCPQIroncladCRMCLM

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn