Lead the modeling, forecasting, and analytics for go-to-market strategy. Collaborate with Sales and Finance on strategic revenue forecasts and actionable insights.
AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses.
At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work.
To learn more, visit us at www.appzen.com.
We’re looking for a hands-on GTM Systems & Analytics Manager to own and scale our Salesforce ecosystem while supporting data-driven go-to-market execution. This role sits at the intersection of RevOps, Sales, and Finance—but with a strong emphasis on building, configuring, and optimizing Salesforce.
You will act as a Salesforce builder and systems owner, translating business needs into scalable technical solutions. From designing workflows and automations to managing sandbox testing and production releases, you’ll play a critical role in enabling our GTM teams to operate efficiently and at scale.
This is an ideal role for someone who enjoys both building systems and driving insights—but leans heavily toward hands-on Salesforce administration and configuration.
What You'll Do:
- Own day-to-day administration, configuration, and optimization of Salesforce CRM
- Translate business requirements into scalable Salesforce solutions (objects, fields, flows, validation rules, automation)
- Build and test enhancements in sandbox environments and manage releases to production
- Design and improve GTM workflows (lead routing, pipeline stages, forecasting logic, approvals)
- Ensure data integrity, governance, and system scalability as the business grows
- Partner with RevOps, Sales, and Marketing to continuously improve system usability and adoption
- Identify gaps in current GTM systems and proactively implement improvements
- Support tooling and system integrations across the GTM tech stack
- Partner with stakeholders to standardize and scale processes across Sales and Revenue teams
- Partner with Finance and GTM leadership to deliver insights that inform decision-making
What You'll Bring
- 5–8+ years of experience in RevOps, Sales Operations, or GTM Systems roles
- Strong hands-on Salesforce Admin experience (configuration, not just reporting)
- Proven ability to build in Salesforce environments (sandbox → production)
- Deep understanding of Salesforce architecture (objects, fields, flows, permissions, automation)
- Experience managing releases using change sets or other deployment tools (CI/CD tools a plus)
- Strong problem-solving skills with the ability to translate business needs into technical solutions
- Experience building dashboards and working with BI tools (Tableau, Looker, Power BI, etc.)
- Solid understanding of GTM metrics (pipeline, conversion, ARR, forecasting), with ability to support analytics as needed
- Strong communication skills and ability to partner cross-functionally with Sales, Marketing, Finance, and leadership
We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.
You can find our Privacy Notice linked on the bottom of our appzen.com website.
AppZen San Jose, California, USA Office
6201 America Center Dr, San Jose, CA, United States, 95002
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