Revenue Operations Manager Mission
Build and manage the commercial operating system that enables Kaizen AI’s sales and growth teams to operate with greater visibility, discipline, automation, and predictability.
Primary ResponsibilitiesCRM & Pipeline Management
- Own the CRM structure, data quality, and governance.
- Ensure accurate and timely updating of opportunities, activities, stages, and account information.
- Establish and enforce pipeline governance standards.
- Monitor pipeline health, deal progression, and sales-stage conversion.
- Build systems for tracking enterprise accounts and opportunities.
Sales Analytics & Reporting
- Build and maintain sales dashboards and management reports.
- Track pipeline performance, revenue, conversion rates, sales velocity, and sales-cycle metrics.
- Develop commercial analytics to identify trends, bottlenecks, and growth opportunities.
- Provide leadership with actionable insights for sales and revenue decisions.
Forecasting
- Establish a structured sales forecasting process.
- Monitor forecast accuracy across sales teams and individual opportunities.
- Develop weekly and monthly revenue forecasts.
- Identify pipeline risks and potential revenue gaps early.
Automation & AI Workflows
- Identify repetitive commercial processes that can be automated.
- Build and manage sales and revenue automation workflows.
- Implement AI-assisted workflows for prospecting, CRM updates, reporting, proposals, and follow-ups.
- Improve productivity across sales, partnerships, and customer success teams.
Sales Process & Commercial Enablement
- Design and continuously improve the enterprise sales process.
- Standardise proposal, pricing, presentation, and commercial templates.
- Establish clear processes for opportunity qualification, approvals, negotiations, and closures.
- Create scalable systems that support the growth of Kaizen's enterprise sales organisation.
Key Performance Indicators (KPIs)
- CRM Hygiene & Data Accuracy
- Forecast Accuracy
- Proposal Turnaround Time
- Pipeline Quality
- Pipeline Coverage
- Sales Cycle Duration
- Stage Conversion Rates
- Automation Adoption
- Reporting Accuracy
Ideal Candidate Profile
The ideal candidate should have:
- Strong experience in Revenue Operations / Sales Operations.
- Excellent understanding of enterprise B2B sales processes.
- Strong analytical and commercial thinking.
- Hands-on CRM expertise.
- Experience building dashboards, reports, and forecasting systems.
- Strong process-design and automation capabilities.
- Ability to work cross-functionally with Sales, Partnerships, Marketing, Customer Success, and Leadership.
- Interest or experience in AI-enabled commercial workflows.
Target Talent Pool
Candidates from:
CRM / SaaS Companies
- HubSpot
- Salesforce
- Freshworks
- Zoho
High-Growth Technology Companies
- High-growth SaaS companies
- Enterprise software companies
- B2B technology companies
- PropTech / AI companies
Compensation
- Fixed: ₹20–35 LPA
- Performance incentives may be considered based on role scope and experience.
90-Day Success Plan
First 30 Days
- Audit the existing CRM, sales pipeline, reporting, and commercial processes.
- Identify data-quality gaps and process bottlenecks.
- Establish CRM governance standards.
- Define core commercial metrics.
By 60 Days
- Launch standardised sales dashboards and pipeline reporting.
- Implement a structured forecasting process.
- Standardise proposal and commercial templates.
- Introduce pipeline review and governance mechanisms.
By 90 Days
- Establish a reliable commercial operating system.
- Improve CRM hygiene and forecast accuracy.
- Automate priority sales and revenue workflows.
- Create predictable pipeline visibility for leadership.
- Establish a scalable RevOps foundation capable of supporting Kaizen AI's enterprise growth.
Pay: ₹2,000,000.00 - ₹3,500,000.00 per year
Benefits:
- Flexible schedule
- Paid sick time
Work Location: In person
