Senior Director of Revenue Operations (SaaS)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Director of Revenue Operations (SaaS): Designing and managing the end-to-end revenue funnel and operating system to ensure predictable growth with an accent on reverse-funnel modeling, data integrity, and executive cadence. Focus on building full-funnel visibility, optimizing lead-to-close conversion rates, and scaling the RevOps tech stack.
Location: Must be based in the United States (Remote)
Company
is an AI-driven data integration platform designed to simplify complex data work for enterprise-grade governance and compliance.
What you will do
- Build and maintain a reverse-funnel revenue model to translate targets into required pipeline by stage and channel.
- Create a single source of truth via executive dashboards to track pipeline health, forecast, and top risks.
- Define and enforce lead follow-up SLAs, routing rules, and escalation ladders.
- Align marketing targets to qualified pipeline dollars and optimize budget allocation based on program performance.
- Manage renewals and expansion cycles with the same rigor as new business acquisition.
- Own and optimize the RevOps tech stack, including CRM and marketing automation tools.
Requirements
- 10+ years of experience in Revenue, Sales, or Business Operations, with at least 4 years in leadership.
- Proven track record in B2B SaaS or subscription-based revenue models.
- Hands-on expertise with Salesforce and HubSpot or Marketo.
- Experience building full-funnel operating cadences from scratch.
- Strong analytical mindset with the ability to translate complex data into executive narratives.
- Must be based in the United States.
Nice to have
- MBA or advanced degree in a relevant field.
- Experience building and scaling RevOps teams.
- Passion for tracking and implementing developments in AI and GTM tooling.
Culture & Benefits
- Opportunity to work on mission-critical technology at the heart of the AI revolution.
- Collaborative environment that values creativity, speed, and high ownership.
- Direct impact on the data infrastructure of Fortune 500 companies.
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