About the Company
We are a fast-growing SaaS company helping businesses eliminate invalid traffic and wasted ad spend. Our platform protects marketing budgets and improves campaign performance for some of the world's most sophisticated digital advertisers. As we continue to scale, we are entering the next phase of our go-to-market evolution—moving from early growth to a more structured, data-driven revenue engine. To support that transition, we are hiring a Head of Revenue Operations to architect and lead the systems, processes, and insights that power our entire revenue organization. This role will report to the CFO and partner closely with the CEO and GTM leadership as stakeholders to bring clarity, structure, and operational excellence across marketing, sales, and customer success.
The Role
The Head of Revenue Operations will own the end-to-end revenue operating system, spanning strategy, systems, data, and operational execution. You will ensure that our go-to-market teams are aligned around a shared revenue framework, supported by scalable processes and best-in-class tooling. This role requires someone who can operate both strategically and tactically, defining the operating model while also ensuring it is implemented effectively in systems and workflows. You will also play a key role in driving operational accountability across the GTM organization, ensuring that processes are followed, pipeline is managed effectively, and teams operate with discipline.
Key Responsibilities
- Revenue Strategy & Operating Model: Design and implement the revenue operating model across marketing, sales, and customer success. Align the organization around shared definitions, funnel metrics, and lifecycle stages.
- Pipeline & Forecasting: Own the company's revenue forecasting framework and reporting infrastructure. Define and track core funnel health metrics and identify risks or opportunities through performance analysis.
- Systems Architecture: Own the revenue tech stack (including Salesforce, HubSpot, Gong, and Redshift) and ensure it supports scalable growth. Evaluate and implement additional platforms for customer success and revenue analytics.
- GTM Enablement: Partner with sales leadership to design enablement frameworks that improve rep productivity. Ensure teams are equipped with the tools, content, and data required to effectively engage prospects.
- AI & GTM Engineering: Identify opportunities to leverage AI and automation across the go-to-market engine to improve productivity through workflow automation and data enrichment.
- Data & Insights: Establish a single source of truth for revenue data. Build dashboards and reporting frameworks for executives and GTM teams to enable data-driven decision-making.
- Team Leadership: Build and scale the Revenue Operations function over time, defining the structure, hiring plan, and operating cadence for the team.
What We're Looking For
Experience
- 8+ years in Revenue Operations, Sales Operations, or GTM Operations.
- Proven experience leading end-to-end RevOps in a B2B SaaS environment.
- Experience partnering with executive leadership in scaling companies and building/leading RevOps teams.
Skills
- Strong strategic thinking combined with hands-on operational execution.
- Exceptional stakeholder management and the confidence to manage prioritization among strong personalities.
- Strong analytical mindset and comfort working with complex datasets.
- Ability to drive operational accountability within sales organizations.
Systems Experience
Expertise in modern revenue technology stacks, ideally including:
- Salesforce (CRM)
- HubSpot (Marketing Automation)
- Gong (Revenue Intelligence)
- Data enrichment tools
- Data warehouses
- AI-enabled GTM tooling
What Success Looks Like
Within the first 6 months, you will:
- Establish a clear and scalable revenue operating model.
- Enable GTM strategy to increase pipeline generation volume and value in line with the operating plan.
- Implement robust forecasting and pipeline management frameworks.
- Improve visibility into the revenue funnel across the entire customer lifecycle.
- Introduce automation and AI-driven capabilities to improve GTM efficiency.