Workforce Manager

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

Labelbox’s mission is to build the best products for humans to advance artificial intelligence. As a Workforce Manager, you will work across engineering, customer, and data labeling teams to create highly accurate datasets. This is a unique, cross functional position where you will be the go-to person for successful project outcomes for customers.

Your Day to Day

• Create a partner success model with partner QBRs, feature roadmap alignment and growth strategy with workforce partners.
• Create an operating model that is adopted repeatedly across a highly scaled number of workforce partners.
• Work cross-functionally with Product Management, Sales, and leadership to align and identity new workforce partnership opportunities
• Help customers build production-grade data labeling pipelines
• Track and analyze metrics to deliver remarkable customer service. Accuracy, precision, time-to-delivery, speed, and cost are the key metrics for a successful project.
• Lead large-scale data operations projects between customers and workforce teams
• Assess and manage data labeling workforce performance to help them deliver the best results
• Continuously improve quality and throughput of our data labeling services
• Develop policies, guidelines and workflows pertaining to data management and labeling services
• Set up processes for data driven decision making for BPO matchmaking, BPO quality rating and BPO customer rating.

About You

• Experience with establishing scalable and repeatable operating models with BPOs
• Proactively finding ways to improve and scale up workforce efforts
• A passion for data and quality
• Strong analysis and troubleshooting skills
• An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if …