Senior Revenue Operations professional

Increff; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Increff in Bengaluru, India, seeks a Senior Revenue Operations AI Adoption Executive to own systems, data, and automation across Sales, Marketing, and Customer Success. You will design the CRM data model, lead revenue analytics and forecasting, and build AI-driven infrastructure for the GTM organization.

This builder role emphasizes end-to-end ownership of scalable processes and collaboration with Finance, Sales, Marketing, and leadership to translate ambiguous problems into scalable systems.

Qualifications

• 2-3 years in Revenue Operations, Sales Operations, or GTM Analytics with CRM ownership.
• Hands-on Salesforce administration: Flows, validation rules, sharing model, objects, Experience Cloud.
• Experience designing automation/integration workflows or AI tools across multiple systems.
• Strong proficiency in revenue/SaaS metrics (MRR, pipeline coverage, forecasting) and advanced spreadsheet modeling.
• Excellent written communication for leadership reporting and SOPs.

Responsibilities

• Own end-to-end revenue reporting: pipeline, MRR, forecast, conversions, stage movement.
• Build and evolve dashboards and recurring revenue reporting for leadership.
• Maintain pipeline and revenue snapshots for historical trend analysis and forecasting accuracy.
• Lead ad-hoc analyses for business reviews and board decks.
• Set reporting and metrics framework for the GTM team.
• Own Salesforce configuration end-to-end: custom objects, fields, flows, sharing, access.
• Define data governance standards across Leads, Accounts, Contacts, and Opportunities.
• Design multi-track lead qualification frameworks and auto-population logic.
• Diagnose and resolve complex production issues with root-cause analysis.
• Author CRM SOPs and scalable process docs.
• Architect revenue automation stack: intent/visitor data, enrichment, email sequencing, workflow orchestration.
• Build integrations across CRM, communication, productivity, and GTM systems.
• Design AI-assisted processes to structure unstructured inputs into CRM data.
• Evaluate and maintain the SM tech stack, build MCP/API connectors as needed.
• Create lightweight internal tools or agents where off-the-shelf software falls short.
• Own monthly pipeline and revenue forecast accuracy; conduct health scoring.
• Identify forecast risk early and communicate gaps with data.
• Support Monthly/Quarterly Business Reviews with defensible revenue narratives.
• Mentor other RevOps Executives and set standards for CRM builds and automations.

Skills

Revenue Operations

Salesforce admin

Automation/workflows

SaaS metrics

Technical writing

Tools

n8n

Make

Claude

OpenAI

Experience Cloud

Job description

Job Summary

As a Senior Revenue Operations AI Adoption Executive, you'll own the systems, data, and automation that connect Sales, Marketing, and Customer Success. This is a senior individual-contributor role with architectural ownership: you will design the CRM data model, lead revenue analytics and forecasting, build the automation and AI infrastructure the GTM org runs on, and set the operating standards other RevOps executives and GTM teams follow.

This is also a builder role, ideal for someone who enjoys owning systems end-to-end, designing scalable processes, and working directly with Sales, Marketing, Finance, and leadership to translate ambiguous business problems into scalable systems.

Responsibilities

• Revenue Operations Strategy GTM Analytics: Own end-to-end revenue reporting: pipeline, MRR, expected MRR, conversion, stage movement, forecasting, and revenue performance
• Revenue Operations Strategy GTM Analytics: Build and continuously evolve management dashboards and recurring weekly/monthly revenue reporting for leadership
• Revenue Operations Strategy GTM Analytics: Maintain pipeline and revenue snapshots to enable historical trend analysis and forecasting accuracy
• Revenue Operations Strategy GTM Analytics: Lead ad-hoc analysis and data-driven input for business reviews, board decks, and leadership decision-making
• Revenue Operations Strategy GTM Analytics: Set the reporting and metrics framework (definitions, cadences, ownership) that the entire SM team follows
• CRM Architecture, Data Governance Salesforce Administration: Own Salesforce configuration end-to-end: custom objects, fields, Flows, validation rules, sharing model, and Experience Cloud access
• CRM Architecture, Data Governance Salesforce Administration: Define and enforce data governance standards across Leads, Accounts, Contacts, and Opportunities
• CRM Architecture, Data Governance Salesforce Administration: Design multi-track lead qualification frameworks (e.g. product-line-specific tracks), BANT structures, and auto-population logic
• CRM Architecture, Data Governance Salesforce Administration: Diagnose and resolve complex production issues (record-locking flows, trigger bugs, sharing/ownership conflicts) with root-cause investigation
• CRM Architecture, Data Governance Salesforce Administration: Author CRM SOPs and process documentation that scale as the GTM org grows
• Revenue Automation AI-Driven Systems: Architect the revenue automation stack intent/visitor data, contact enrichment, email sequencing, and workflow orchestration (e.g. Factors.ai, Apollo/Seamless, Salesforce, n8n, Make)
• Revenue Automation AI-Driven Systems: Build integrations across CRM, communication, productivity, and GTM systems to create connected, end-to-end workflows
• Revenue Automation AI-Driven Systems: Design AI-assisted processes that convert unstructured inputs (emails, meeting notes, internal chat) into structured CRM and revenue data
• Revenue Automation AI-Driven Systems: Evaluate and maintain the entire SM tech stack, building custom MCP/API connectors where needed to enable AI-assisted workflows
• Revenue Automation AI-Driven Systems: Build lightweight internal tools or agents where off-the-shelf software doesn't solve the problem
• Pipeline Forecast Ownership: Own monthly pipeline and revenue forecast accuracy, including coverage-vs-target analysis
• Pipeline Forecast Ownership: Build and maintain deal/pipeline health scoring (risk flags, weighted scoring, stage-based alerts) for rep- and manager-level visibility
• Pipeline Forecast Ownership: Identify forecast risk early and communicate gaps to Sales leadership with supporting data
• Pipeline Forecast Ownership: Run pipeline hygiene audits stale-deal and stale-lead identification using activity-based (not just date-based) criteria
• Pipeline Forecast Ownership: Support Monthly/Quarterly Business Reviews with accurate, defensible revenue and pipeline narratives
• Cross-Functional Leadership GTM Intelligence: Partner with Sales, Marketing, Finance, Legal, and Customer Success to design cross-functional workflows (deal approvals, commercial reviews, customer hand-offs)
• Cross-Functional Leadership GTM Intelligence: Build structured intake/ticketing processes for revenue-related requests with clear SLAs and ownership
• Cross-Functional Leadership GTM Intelligence: Own competitive intelligence and account/GTM research frameworks that drive outbound and demand-gen prioritization
• Cross-Functional Leadership GTM Intelligence: Mentor and set standards for other RevOps Executives, reviewing their CRM builds, reports, and automations
• Cross-Functional Leadership GTM Intelligence: Continuously identify and prioritize process redesigns that scale with GTM headcount growth

Requirements

• Who Should Apply: This role is ideal for candidates with 2-3 years of experience in Revenue Operations, Sales Operations, or GTM Analytics, with demonstrated ownership of a CRM instance end-to-end
• Required Skills:
  • 2-3 years in Revenue Operations, Sales Operations, or GTM Analytics, with demonstrated ownership of a CRM instance end-to-end
  • Deep, hands-on Salesforce administration expertise: Flows, validation rules, sharing/security model, custom objects, Experience Cloud
  • Proven experience designing and operating automation/integration workflows (n8n, Make, or equivalent) or AI tools (Claude, OpenAI etc) across multiple systems
  • Strong quantitative fluency in revenue/SaaS metrics (MRR, pipeline coverage, conversion, forecasting) and advanced spreadsheet modeling
  • Excellent written communication for leadership reporting, SOPs, and cross-functional alignment, with a track record of translating ambiguous business problems into scalable systems
• Nice to Have:
  • Experience with AI/LLM-assisted workflow design (agentic automation, structured data extraction from unstructured text)
  • Background in B2B SaaS, supply chain, or retail-tech GTM
  • Experience building GTM strategy for new market segments or regulatory-driven opportunities
  • Familiarity

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.