Product Operations Manager

Mercor•San Francisco, CA

1d•$140,000 - $210,000•Onsite

About The Position

As a Product Operations Manager, you'll sit at the intersection of Product, Engineering, GTM, and our customers. You'll help bring complex AI data projects to life by designing scalable annotation workflows, scoping technical solutions during the sales process, and leading customer implementations. You'll own the operational systems that power annotation at scale - from reusable workflow templates to enterprise integrations - while serving as the voice of customers inside the Product organization. You'll also own the roadmap for customer integrations, helping expand the platform's capabilities as customer needs evolve. This is a highly technical, customer-facing role for someone who enjoys solving ambiguous problems, working directly with strategic customers, and building systems that scale.

Requirements

2+ years in Product Operations, Product Management, Technical Program Management, Solutions Engineering, Implementation Consulting, or a similar technical, customer-facing role.
Familiar with coding agents.
Comfortable using SQL without agent assistance as well.
Thrive in ambiguous environments and take ownership from problem definition through execution.
Customer-focused with excellent written and verbal communication
Strong project management and cross-functional communication skills.
Passion for building repeatable systems rather than one-off solutions.

Responsibilities

Scope Customer Solutions: Partner with GTM and customers during the pre-sales process to scope complex AI data projects. Define technical requirements, design solutions, and identify opportunities for product improvements or customization.
Build annotation workflows: Own and expand Mercor's library of annotation interface templates, enabling teams to launch new customer workflows quickly while encoding operational best practices.
Lead customer implementations: Program manage enterprise implementations, including integrations with customer data systems. Coordinate across Product, Engineering, GTM, and customer stakeholders to ensure successful launches.
Configure the platform: Configure Mercor's annotation tooling to support each customer's workflow and deliver high-quality human data at scale.
Shape the product: Identify recurring customer needs and translate them into product requirements. Own the roadmap for customer integrations and partner with Engineering to expand platform capabilities.