Revenue and Sales Operations Manager

Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

About the Role

This is an exciting opportunity to join the Finance team at Labelbox. As a Revenue and Sales Operations Manager, you will optimize the processes and technology stack that drive revenue generation within our organization. You will collaborate closely with sales, marketing, finance, business technology manager, and post-sales teams to ensure alignment and efficiency across all revenue-generating functions. You will provide a complete picture of Revenue, Business, and Customer Data.

Your Day to Day

Deal Desk:

• Streamline approval workflow and deliver deal desk efficiency by unblocking bottlenecks with a purposeful workflow to manage all cross-functional stakeholders.
• Manage quoting, price list (SKUs) and services rate card (Labeling & Solution AI).
• Create and lead Deal Desk calls with all stakeholders.
• Manage the CPQ approval process; First line of involvement with Legal & Finance.

Sales Process Optimization:

• Analyze and optimize the sales process to maximize efficiency and revenue generation.
• Develop and document sales processes, guidelines, and best practices.
• Collaborate with sales leadership to refine sales strategies and tactics.

Data Analysis and Reporting:

• Generate actionable insights from sales and marketing data to inform decision-making.
  • Won/Loss reporting and analysis.
  • Engagement reporting for Account Executives, Sales Development Managers, and Customer Solutions teams.

Revenue Forecasting and Planning:

• Collaborate with finance and sales leadership to develop accurate revenue forecasts and quotas.
• Assist in the development of sales territories, quotas, and incentive plans.
• Monitor performance against targets and provide regular updates to leadership.
• Oversee sales pipeline and activity to identify potential risks and …