Role Overview

We are seeking Senior Sales Management & RevOps Experts to generate, evaluate, and refine high-difficulty tasks for frontier AI initiatives. In this role, experts will build technically accurate, practical tasks that test advanced AI model capabilities in sales forecasting, CRM/CPQ system operations, territory and quota design, compensation plan structuring, and pipeline analytics.

Requirements

- Professional Experience: ~815 years of leadership experience heading sales teams, revenue operations (RevOps), or sales operations functions.

- Core Competencies: Expert fluency in contemporary CRM and RevOps tech stacks (e.g., Salesforce, CPQ, HubSpot), pipeline analytics, forecasting methodologies, territory planning, quota allocation, and sales compensation plan structuring.

- Deliverable History: Proven track record of producing executive-grade deliverables, such as territory models, variable compensation structures, revenue forecast models, deal desk policies, and pipeline performance dashboards.

- Exceptional Analytical Thinking: Ability to analyze complex sales funnels, diagnose revenue bottlenecks, and evaluate multi-variable commercial strategy models.

- Attention to Detail: Meticulous approach to reviewing high-difficulty task scenarios, ensuring complete operational precision, dataset integrity, and technical accuracy.

- Communication: Superior written communication skills for creating complex corporate scenarios, detailed evaluation criteria, and gold-standard solutions.

- Leadership & Independence: Ability to own day-to-day quality, calibrate peer outputs, and operate independently in a fast-paced environment.

Responsibilities In this role,



you will serve as a senior technical authority within a specialized functional pod responsible for creating advanced evaluation and training datasets for AI models. Your day-to-day responsibilities will include:

- Producing high-difficulty expert tasks and gold-standard solutions covering complex RevOps strategies, sales forecasting, CPQ logic, quota architecture, and comp-plan design.

- Reviewing and calibrating team members' outputs to enforce rigorous domain quality standards across all pod deliverables.

- Owning day-to-day quality control and validating that all task scenarios, CRM logic, and analytics datasets are practically realistic and technically sound.

- Applying and enforcing rubric standards set by the Functional SME (Expert) Lead.

- Identifying and escalating genuine edge cases, complex operational paradoxes, and rubric ambiguities directly to the Functional SME Lead.

- Participating in calibration sessions and revision cycles to continuously elevate the complexity and precision of pod outputs.

Education & Experience

- Bachelor's degree or equivalent practical experience in any field.

- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details:

- Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.

- Engagement type: Contractor

- Engagement Length: 9 weeks

Evaluation Process -

- Shortlisted candidates will be sent a Job Interest Form.

- Final selected candidates will be contacted with the next steps and onboarding requirements.

📌 Sales & RevOps Manager (Bengaluru)
🏢 Turing Global India
📍 Bengaluru