Senior Revenue Operations Manager
Coursera
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
7,405 open operations roles across 815 companies are on ApplySarthi right now, most of them in Bengaluru (244), Hyderabad (145), Mumbai (137).
- Operations Engineer, Mechatronics Technical Trainer, Material Handling Equipment Systems, OneMHSAmazon
- Sales Operations Analyst - Payward ServicesJobgether
What operations roles keep asking for: Supply chain (21%), Excel (18%), Stakeholder management (15%) — counted across their open postings here.
Revenue Operations Manager jobs in the United States · CRM jobs · Customer success jobs · Databricks jobs · Excel jobs
Coursera has 34 open roles listed here.
- Benefits Analyst
- IT Service Desk Managerchennai
- Revenue Operations Manager, Japan
- Enterprise Account Director (DACH)
- Customer Success Manager - Asia
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for operations roles keep coming back to Supply chain, Excel, Stakeholder management. Practise those questions before you sit with Coursera.
Questions you are likely to be asked
- Why do you want to join Coursera?
- What is your experience with Salesforce? Tell me one thing you learned the hard way.
- Tell me about a process you made faster or cheaper.
- How do you handle a delay that affects a customer?
- How do you plan when demand is hard to predict?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Revenue Operations Manager at Coursera interview free →About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.
How we work
We let you choose the best way to work, whether it’s from home, an office, or a collaboration space. We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.
About this role:
We are seeking an analytical and collaborative Senior Revenue Operations Manager to support Coursera’s enterprise business across the Americas. In this role, you will partner closely with regional sales leaders and the global Revenue Operations team to improve forecast accuracy, strengthen pipeline management, and turn business data into actionable insights.
You will own key regional operating processes, including forecasting, performance reporting, and business reviews, while helping sales teams work more efficiently. This is a hands-on role for someone who can build dashboards, translate analysis into action, and use AI and automation to improve how the business operates.
About your skills:
Sales Operations: Core discipline for managing and optimizing sales processes, supporting teams, and aligning strategies with business objectives in this regional role.
Business Analytics: Essential for analyzing pipeline, forecasting, and performance data to develop insights and drive business planning decisions.
Data Integration: Important for combining data from Salesforce, Databricks, and other sources to create unified reporting and analysis for leadership.
What you’ll be doing:
-
Serve as a trusted operations partner to AMER sales leaders, providing insights and recommendations that support revenue growth and business performance.
-
Manage the regional forecasting cadence across new business, expansion, and renewals; challenge assumptions, identify risks and upside, and improve forecast accuracy.
-
Analyze pipeline coverage, creation, conversion, deal progression, and sales productivity to identify trends and recommend actions to close performance gaps.
-
Drive pipeline hygiene and CRM data quality through clear reporting, regular follow-up, and accountability with sales managers and representatives.
-
Design, build, and maintain dashboards and reports in Salesforce and Tableau, using data from sources such as Databricks to give leaders and sellers reliable visibility into performance, pipeline health, and priority actions.
-
Prepare analyses and concise business narratives for monthly and quarterly business reviews, translating findings into clear recommendations for leadership.
-
Partner with Sales, Marketing, Customer Success, Finance, and global Revenue Operations to align on metrics, reporting, and regional business priorities.
-
Support territory and account planning, target setting, and coverage analysis in partnership with sales leadership and central planning teams.
-
Identify, build, and implement AI-assisted workflows and automation that reduce manual reporting, improve data quality, and streamline recurring sales operations processes.
-
Use tools such as Gong and Claude to surface deal insights, support pipeline reviews, and accelerate analysis; validate AI-generated outputs before using them in business decisions.
-
Support the standardization of processes, reporting, and tools across teams, including integration initiatives and change adoption as needed.
Qualifications:
-
5+ years of experience in Sales Operations, Revenue Operations, business operations, or a related analytical role, with experience supporting B2B sales teams.
-
Demonstrated experience managing sales forecasting, pipeline analysis, and performance reporting in a SaaS or recurring revenue business.
-
Strong analytical skills and advanced proficiency in Excel or Google Sheets, including building models and translating complex data into actionable insights.
-
Proficiency in Salesforce, including opportunity management, data quality, and reporting.
-
Experience with annual planning, territory design, sales capacity modeling, and sales compensation.
-
Experience partnering with sales leaders and cross-functional stakeholders to solve operational problems and influence decisions.
-
Strong written and verbal communication skills, with the ability to present findings clearly to both technical and business audiences.
-
Ability to manage competing priorities, take ownership of deliverables, and work effectively through ambiguity.
Compensation
At Coursera + Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, and experience. In addition to a base salary, this role is also eligible for equity.
Hiring Compensation Range
$122,400.00 - $153,000.00
Posting Date
Posting Date: 5th November 2026
Application Window: 19th November 2026
We anticipate the application window will be open until 19th November 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.
#LI-TP1
For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Senior Software Engineer, Applied AI and Customer SolutionsCoursera · mumbai
- Senior Category ManagerCoursera
- Enterprise Account Executive, KoreaCoursera
- Senior Software Test EngineerCoursera
- Staff Product Manager, SearchCoursera
- Account Lead - C4BCoursera
- AI Specialist IICoursera · mumbai
- Senior Product Manager, Applied AICoursera · mumbai
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-11-05. ApplySarthi collects openings and links to application pages; the role is advertised by Coursera, not by us.