Senior Revenue Operations Manager at Papaya Global

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Revenue Operations, Sales Operations, Forecasting, Pipeline Management, B2B SaaS Sales, Salesforce, Gong Forecasting, DealHub, Analytical Skills, Communication Skills, Stakeholder Management, Process Design, Cross-Functional Collaboration, Operational Hygiene, Data-Driven Decision Making, Change Management

Industry

Financial Services

Description

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. We're seeking a Senior Revenue Operations Manager who will own and elevate our forecasting methodology, partner closely with our global sales organization, and bring clarity and structure to areas with operational ambiguity. This role sits at the intersection of strategy and tactical execution, supporting scalable growth across Sales, Success, and GTM leadership. The ideal candidate understands the nuances of complex global sales cycles, thrives in a fast-moving and evolving environment, and can translate messy, ambiguous challenges into clear, repeatable processes. You’ll be a key partner to both sales leadership and frontline reps—building trust, driving adoption, and ensuring data-driven decision making. Key Responsibilities 1.Forecasting & Analytics Own Papaya’s forecasting methodology across global sales segments; refine models and processes to improve accuracy and predictability. Consolidate, analyze, and present weekly/quarterly forecasts to GTM leadership and executive teams. Develop leading indicators and pipeline health metrics that provide clear visibility into risk, coverage, and execution. Build and automate dashboards and reports in Salesforce (and related tools like DealHub) to support self-serve analytics. 2.Revenue Operations & Process Design Translate ambiguous or undefined workflows into structured, scalable processes across the deal cycle. Diagnose bottlenecks in the sales process and implement improvements that increase efficiency and data quality. Partner closely with Sales, Marketing, and CS Ops to ensure end-to-end alignment across the revenue engine. Maintain strong operational hygiene—ensuring Salesforce processes are intuitive, optimized, and consistent across teams. 3.Cross-Functional Partnering Act as a trusted business partner to global sales leaders, understanding their regions, motions, and operating styles. Support enablement by documenting processes, change management plans, and rep-friendly operational guidance. Collaborate with Finance to ensure pipeline, bookings, and revenue models remain aligned. Requirements 4–6+ years of experience in Revenue Operations, Sales Operations, or similar analytical roles within a SaaS or GTM environment. Deep knowledge of sales forecasting, pipeline management, and B2B SaaS sales methodologies. Advanced proficiency in Salesforce, and Gong Forecasting (or like forecasting tool) Experience with DealHub or similar CPQ/Deal Desk tools. Ability to operate both strategically and tactically—from building high-level models to diving into field-level data. Strong communication and stakeholder-management skills, especially with diverse sales personalities. Experience working in a fast-scaling or high-growth company; comfort building structure where processes do not yet exist. Analytical mindset with strong Excel/Sheets and BI tool skills Nice to have null

Responsibilities

The Senior Revenue Operations Manager will own and elevate the forecasting methodology while partnering closely with the global sales organization. This role involves translating ambiguous workflows into structured processes and diagnosing bottlenecks to improve efficiency.