Product Operations Lead, Generative AI

Role Overview

As a Product Operations Lead, you will build and support critical processes and platforms that drive daily operations in Scale’s Generative AI business unit. This role requires a unique blend of product, operations, and analytics to architect the future of the business.

What You Will Do

You will own the connection between Operations and Product, modernize operations tooling with agents, drive high-priority initiatives, and leverage data analytics tools to quantify the impact of operational problems.

Why It Might Be a Fit

The ideal candidate will have a strong product sense, a cross-functional operator mindset, and a proven ability to communicate complex technical concepts to non-technical stakeholders.

Requirements

• 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments
• A strong product sense and ability to prioritize the highest leverage initiatives
• A cross-functional operator: proven ability to understand a customer’s underlying need, separate it from the stated request, and influence Product, Engineering, and Ops partners without direct authority
• Familiarity with the GenAI data business: how projects are staffed, run, and delivered, and where operators feel friction day to day
• Strong technical background (a degree in computer science or STEM is ideal, and at minimum, the ability to perform independent data analytics using SQL or Python)
• Proven ability to communicate complex technical concepts to non-technical stakeholders and translate operational ‘friction’ into engineering solutions
• An entrepreneurial and high-ownership mindset: you are comfortable building 0-to-1 processes, handling ambiguity, and driving workstreams from conception to execution
• Bias for lightweight structure and doing: you build well designed processes people actually use and know when not to add more

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• A learning and development stipend
• Generous PTO
• Commuter stipend

Tagged as: Data Analysis, Python, SQL