Senior Technical Operations Manager - AI-Driven Ad Tech

Magnite; Boston (MA); Hybrid; USD 115,000 - 125,000; Full time

Benefits offered by this job

Performance bonus

Equity

Healthcare from day one

Generous time off

Parental leave

401k with match

Disability and life insurance

Cell phone subsidy

Fitness reimbursement

Job summary

Magnite in Boston is seeking a Manager, Technical Operations for the Demand team focused on ClearLine. You will oversee technical escalations, troubleshoot across platforms and APIs, and lead cross-functional projects.

You will analyze large datasets with SQL and Python in Snowflake and Databricks, leverage AI to automate workflows, and collaborate with Product and Engineering teams. The role follows a hybrid schedule with two remote days (Mon/Fri).

Qualifications

• SQL and Python proficiency for data analysis and reporting.
• Experience with AI technologies to automate workflows.
• Knowledge of video advertising ecosystems (CTV, programmatic).
• Strong technical writing and documentation skills.
• Troubleshooting complex issues across platforms and APIs.
• Excellent communication and collaboration with cross-functional teams.
• Project management experience to lead initiatives.

Responsibilities

• Manage technical escalations and coordinate resolution.
• Troubleshoot complex issues across platforms and APIs.
• Leverage AI tools to automate workflows and improve efficiency.
• Create technical documentation and update knowledge bases.
• Lead cross-functional projects with Product and Engineering.
• Partner with Product and Engineering teams.
• Analyze large datasets using SQL and Python in Snowflake and Databricks.

Skills

SQL

Python

AI technologies

Troubleshooting

Project management

Communication

Technical writing

Tools

Snowflake

Databricks

Job description

Magnite in Boston is seeking a Manager, Technical Operations for the Demand team focused on ClearLine. You will oversee technical escalations, troubleshoot across platforms and APIs, and lead cross-functional projects.

You will analyze large datasets with SQL and Python in Snowflake and Databricks, leverage AI to automate workflows, and collaborate with Product and Engineering teams. The role follows a hybrid schedule with two remote days (Mon/Fri).