Senior Revenue Operations Manager
LatticeLattice is seeking a Senior Revenue Operations Manager to help scale and optimize our revenue engine across the entire customer lifecycle. In this role, you will partner with Revenue leadership to drive planning, forecasting, performance management, and strategic initiatives that enable predictable growth across new business, expansion, and customer retention.
You will combine analytical rigor, business acumen, and cross-functional influence to identify opportunities, improve execution, and drive operational excellence across the Revenue organization. This role partners closely with Sales, Customer Success, Marketing, Finance, and Business Systems teams to align strategy and execution.
What You Will Do
- Partner with Revenue leadership to drive annual planning, territory design, capacity modeling, quota setting, and revenue target planning.
- Own forecasting and performance analysis across bookings, renewals, expansion, and overall revenue attainment.
- Develop reporting, dashboards, and business insights that enable data-driven decision-making and improve forecast accuracy.
- Optimize revenue processes, systems, and workflows across the GTM organization, ensuring teams can efficiently generate, manage, and close pipeline.
- Partner with Sales, Marketing, and Business Systems teams to improve lead management, territory coverage, account assignment, opportunity management, and overall seller productivity.
- Evaluate and enhance the GTM technology stack, identifying opportunities for automation, process simplification, and improved data quality.
- Identify opportunities to improve revenue performance, productivity, and operational efficiency across the customer lifecycle.
- Lead compensation design and analysis to ensure incentives align with company objectives and drive desired behaviors.
- Drive strategic GTM initiatives and cross-functional projects that support growth and operational scale.
- Establish and monitor KPIs, providing actionable recommendations to Revenue leadership.
- Serve as a trusted advisor to stakeholders across Revenue, Finance, Marketing, Customer Success, and Business Systems.
What We're Looking For
- 6+ years of experience in Revenue Operations, Sales Operations, GTM Strategy, Business Operations, Consulting, or related analytical roles.
- Experience supporting multiple revenue functions, including Sales, Customer Success, Account Management, and/or Renewals organizations.
- Strong expertise in forecasting, planning, territory design, quota setting, compensation, and performance analytics.
- Deep understanding of SaaS revenue models and the metrics that drive acquisition, retention, and expansion.
- Advanced analytical skills with expertise in Excel/Google Sheets and BI tools such as Looker, Tableau, Sigma
Opens the company's application page
Listed via
Himalayas
himalayas.app
Similar roles
Bid und Proposal Manager (all genders)
Dein Einstieg bei der ]init[ AG
Regional Sales Manager, F&I - Philadelphia (Remote, US)
Harley-Davidson
French Speaking Account Manager | Export Sales | Luxury Brands | International Business
The Language Business - Language Recruitment Specialists
1. Interim Project Manager Microsoft Dynamics 365 Sales & Operations
Amstelbay
Design & Tech
Related reads from TCHNX

How Passive Data Collection is Reshaping UX Research
As users grow weary of surveys and interviews, researchers are turning to ambient behavioural signals from keystroke dynamics to micro-interactions to understand product experience without asking a single question.

Why Gen Z is Rejecting Performative Productivity
After a decade of glorifying the grind, a cultural shift is underway. Young professionals are abandoning side hustles not out of laziness, but as an act of resistance against late capitalism's demand for constant monetization.

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.