Revenue Operations Manager

NetApp, Inc.

Morrisville (NC)

On-site

USD 196,000 - 293,000

Full time

9 days ago
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Benefits offered by this job

Health Insurance
Retirement Plan
Paid Time Off
Employee stock purchase plan
RSUs

Job summary

NetApp is seeking a Revenue Operations Manager to translate strategy into field-ready execution, strengthening forecasting, pipeline hygiene, executive reviews, and governance to boost visibility and decision confidence across the GTM organization.

Collaboration with Geo Revenue Operations, Sales, Marketing, Partner and Finance, plus data teams, will operationalize the model, coordinate inputs, and deliver timely executive materials while identifying AI-enabled improvements for efficiency.

Qualifications

  • 5+ years in Revenue Operations, Sales Operations, or related field.
  • Strong forecasting, pipeline management and CRM data quality.
  • Analytical thinker who turns data into insights for leadership.
  • Executive-ready communication for leadership forums and reports.
  • Hands-on experience with GTM systems and data tooling.

Responsibilities

  • Lead the monthly sales forecasting cadence across the Go to Market organization.
  • Operationalize GTM cadence and executive forums for consistent reviews.
  • Enable data, systems, and AI-driven productivity across core processes.

Skills

Forecasting & Pipeline Management
Executive-ready communication
Analytical problem-solving
GTM system experience
Cross-functional collaboration

Tools

Salesforce
Aviso
Snowflake
Excel
PowerPoint

Job description

Job Summary

The Revenue Operations Manager is a key member of the Central Operations team that manages the GTM operating model by helping translate operating strategy into a consistent, field-ready execution cadence. This role strengthens the day-to-day operating discipline behind forecasting, pipeline hygiene, executive business reviews, and leadership forums so the GTM organization can run with greater consistency, visibility, and decision confidence.


Working closely with Geo Revenue Operations, Sales, Marketing, Partner, Customer Success, Finance, our technology teams, and our data teams, this leader will help operationalize the model, coordinate inputs across stakeholders, improve the quality and timeliness of executive-ready materials, and identify AI-enabled improvements that make the field operating rhythm more effective.


This role is classified as hybrid, requiring in office work three days per week, in our Durham/RTP Office.



Key Responsibilities

Lead Sales Forecast



  • Support the monthly sales forecasting cadence across the Go to Market organization by coordinating inputs, timelines, and follow-through with field and revenue operations stakeholders.

  • Help improve forecast accuracy across dollars and units by reinforcing pipeline hygiene, quote discipline, CRM stage alignment, and field accountability.

  • Ensure CRM processes and sales stages support forecasting needs and executive-level visibility.

  • Serve as a business power user for our Revenue Intelligence tool, helping drive adoption, surface improvement opportunities, and ensure revenue intelligence outputs support sales leadership decision-making.


Operationalize the GTM Cadence and Executive Forums



  • Help operationalize the GTM operating model and leadership cadence defined by the Senior Director, ensuring core forums run with consistency, clarity, and effective stakeholder coordination.

  • Support the KPI and leading-indicator framework for core forums, including Quarterly Business Reviews and Executive Monthly Business Reviews.

  • Drive preparation, execution support, and follow-through for executive forums, ensuring content is timely, insight-driven, and connected to clear decisions or actions.

  • Support high-priority operating model projects as business needs evolve, including changes to forecasting processes, QBR design, executive review cadence, or field operating model practices.


Enable Data, Systems, and AI-Driven Productivity



  • Partner with the Business Systems and Data teams to help ensure the right data is available in the right systems and formats to support the field operating model.

  • Identify and help implement AI-enabled opportunities to reduce manual forecast preparation, recurring Excel work, and repetitive analysis across core operating processes.



Qualifications


  • 5+ years of experience in Revenue Operations, Sales Operations, Business Operations, Consulting, or a related field, preferably supporting GTM, sales, or field operating cadences.

  • Solid understanding of forecasting, pipeline management, and CRM processes, including how sales stages, quote hygiene, and data quality impact forecast accuracy and leadership visibility.

  • Analytical and operational problem-solving skills, with the ability to use data to identify issues, prepare insights, measure impact, and support decision-making.

  • Executive-ready communication skills, including the ability to turn detailed inputs into clear materials, concise summaries, and action-oriented follow-up for leadership forums.

  • Hands-on fluency with GTM systems and tools, such as Salesforce, Aviso, Snowflake, Excel, PowerPoint, or equivalent platforms, with the ability to pull, interpret, and package data for business reviews.

  • Comfort operating in ambiguity, with a practical, service-oriented approach to helping operationalize priorities set by the Leadership team.



Compensation:
The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.



At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.



Equal Opportunity Employer:


NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.



Why You'll Thrive at NetApp


At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.



NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.



Our culture


We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.



If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one.



AI Disclosure


For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

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