AI-Driven TechOps Manager - Demand (Hybrid)

110 Magnite, Inc.US; New York (NY); Hybrid; USD 125,000 - 135,000; Full time

Benefits offered by this job

Healthcare from day one

Equity

401(k) with employer match

Parental leave

Job summary

Magnite, Inc. is seeking a Manager, Technical Operations – Demand to lead cross‑functional efforts across NY, Boston, and Denver with hybrid work options. You will manage escalations, troubleshoot complex data pipelines, and deploy AI-enabled improvements for the ClearLine product suite.

You will partner with Product and Engineering to define requirements, reproduce issues, and support resolution. Strong data skills and documentation are essential for success.

Qualifications

• Strong SQL and Python for data analysis, troubleshooting, and automation.
• Aptitude for learning AI technologies and applying AI to ops workflows.
• Deep knowledge of ad tech and programmatic environments, especially video/CATV.
• Excellent writing and documentation skills.

Responsibilities

• Manage a queue of technical escalations from ClearLine Account Managers, maintaining organization and stakeholder communication.
• Troubleshoot highly complex issues across platforms, systems, reporting pipelines, APIs, and integrations.
• Apply AI tools to identify repeatable operational challenges, design scalable solutions, automate workflows, and improve efficiency.
• Conduct ongoing evaluation and deployment of evolving AI capabilities for operational impact.
• Create and maintain technical documentation for internal and external audiences.

Skills

SQL

Python

AI tools

Technical ops

Cross-functional

Tools

Snowflake

Databricks

APIs

Job description

Magnite, Inc. is seeking a Manager, Technical Operations – Demand to lead cross‑functional efforts across NY, Boston, and Denver with hybrid work options. You will manage escalations, troubleshoot complex data pipelines, and deploy AI-enabled improvements for the ClearLine product suite.

You will partner with Product and Engineering to define requirements, reproduce issues, and support resolution. Strong data skills and documentation are essential for success.