9-12 Weeks
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: ~8–15 years of leadership experience heading sales teams, revenue operations (RevOps), or sales operations functions.
Core Competencies: Expert fluency in modern 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.