Senior Manager, GTM Systems

DNSFilter is revolutionizing network security by providing fast, accurate, and reliable threat protection and content filtering. We're a rapidly growing company dedicated to creating a safer internet for businesses and organizations worldwide. Leveraging AI-driven threat intelligence, DNSFilter empowers our customers to proactively block threats before they impact their networks. We foster a collaborative, innovative, and results-oriented culture where every team member contributes to our mission of making the internet safer.

As we continue our product-fueled growth by adding new features and broadening our solution to meet the needs of the global market, it's clear there's a missing piece. That's where you come in!

As the Sr Manager, GTM Systems within the Revenue Operations (RevOps) organization, you will play a critical role in designing, implementing, and optimizing the operational framework and systems that support end-to-end revenue generation processes. Reporting to the VP of RevOps, you will align business strategies, drive cross-functional alignment, and ensure scalability and efficiency in the systems and processes that enable our revenue growth. This role is instrumental in enabling a seamless and data-driven customer journey, from lead generation to retention, while fostering close alignment across sales, marketing, customer success, and support.

Eligible candidates have and can work successfully in a remote environment and are familiar with working in a fast-paced, hyper-growth SaaS start-up. This is a full-time role and is open to candidates in the United States and/or Canada.

We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If you feel like this job is for you, please apply. We believe diversity of experience and skills, including transferable skills, combined with passion, is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions!

In this role you will:
Architect and Align Revenue Operations Systems:

• Design and build the foundational architecture for RevOps Systems, ensuring alignment across CRM, sales automation, support, customer success, and marketing platforms.
• Develop an integrated system strategy that promotes data transparency, accessibility, and consistency across the organization.

Process Optimization and Standardization:

• Lead efforts to streamline, document, and standardize revenue-related processes to increase efficiency, reduce friction, and ensure a cohesive experience across the customer lifecycle.
• Collaborate with stakeholders in Sales, Marketing, Support, Customer Success, and Finance to identify and eliminate bottlenecks, aligning processes with business goals and objectives.

Revenue Data Strategy and Insights:

• Define and implement a data strategy that provides actionable insights into revenue performance, customer acquisition costs, churn, lifetime value, and other critical revenue metrics.
• Partner with analytics teams to develop dashboards and reporting tools that enable leadership and team members to make data-informed decisions.

Drive Cross-Functional Collaboration:

• Act as a bridge between Sales, Marketing, Support, and Customer Success to ensure cohesive workflows, data integrity, and alignment with the revenue strategy.
• Champion the adoption of RevOps best practices across departments, fostering a unified approach to achieving revenue targets and customer satisfaction.

Support Strategic Planning and Forecasting

• Collaborate with the VP of RevOps in strategic planning, providing insights into the operational and system changes needed to support revenue growth and scalability.
• Play a key role in scenario planning, forecasting, and budgeting efforts, ensuring revenue targets align with capacity and operational capabilities.

Innovation and Continuous Improvement:

• • Evaluate and recommend emerging technologies and practices in revenue operations, particularly AI and automation, that improve efficiency and scalability.
  • Continuously monitor the performance of implemented processes and systems, iterating and optimizing as the business evolves.

Data Integration and Accessibility: 

• • Design frameworks for efficient data integration across systems, ensuring data is easily accessible and usable for business intelligence, analytics, and operational processes.
  • Collaborate with data engineering and IT teams to provide input into data storage