Bigcommerce

Bigcommerce

Senior Manager, Deal Desk & Contract Management

United States - Remote, USA · Senior

No sponsorshipDetected 25 days ago
OKRsSalesforceCRMContract ManagementLeadershipCommunication

About the role

  • Sales sees them as someone who will fight to get the deal done; Legal, FinOps, and Finance trust them to know the playbooks well enough to approve on their behalf - reducing friction without increasing risk.
  • We also consider internal equity to help ensure fair and consistent pay practices across our teams.
  • Details will be shared during the hiring process.

Responsibilities

  • Partner with Sales, Sales Leadership, and Finance to structure complex, multi-product, and multi-year deals that maximize revenue while maintaining commercial controls
  • Develop and enforce deal desk policies, approval workflows, and discount guardrails to ensure consistency and protect margin
  • Drive deal velocity by managing SLAs, removing friction from the approval process, and proactively flagging risk or opportunity across the pipeline
  • Build and maintain deal desk playbooks, pricing matrices, and escalation frameworks used across the revenue organization.
  • Own the end-to-end contract lifecycle management process, from initial redlines through execution, renewal, and archiving
  • Maintain and continuously improve the standard contract playbook, fallback positions, and pre-approved clause libraries in partnership with Legal
  • identify and implement tooling improvements to increase efficiency
  • Partner with Legal on non-standard or high-risk contractual terms, ensuring proper escalation paths and timely resolution
  • Oversee contract repository hygiene and ensure data accuracy within the CLM system; identify and implement tooling improvements to increase efficiency
  • Collaborate with RevOps, Finance, and Billing to ensure seamless handoffs from signed contract to revenue recognition and invoicing

Requirements

  • 10+ years of experience in Deal Desk, Revenue or Financial Operations, Contract Management, or a related commercial operations function within a B2B SaaS or technology company
  • Experience working with CLM tools (e.g., Ironclad, Conga, DocuSign CLM) and CRM platforms (Salesforce required)
  • Strong understanding of revenue recognition principles (ASC 606) and their practical application to deal structuring
  • Proven ability to influence cross-functional stakeholders including Sales leadership, Finance, and Legal without direct authority
  • Excellent written and verbal communication skills, with the ability to synthesize complex commercial or legal concepts for non-expert audiences

Nice to have

  • Bachelor's degree in Business, Finance, Legal Studies, or a related field required
  • MBA or JD a plus

Skills

  • Welcome to the Agentic Commerce Era

Compensation

  • The national base salary range for this role is posted above in this job post.
  • Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location.
  • We also consider internal equity to help ensure fair and consistent pay practices across our teams.
  • Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies.
  • Details will be shared during the hiring process.
  • We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.

Benefits

  • Contribute to executive level reporting on deal desk metrics, contract compliance, and commercial health
  • Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/

Equal opportunity

  • We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

Visa & Work Authorization

  • solicit money to complete visa requirements as part of a job offer.

This listing is sourced directly from Bigcommerce's careers page and normalized into a canonical job model.