Manager, Technical Operations, Demand
About the role
The Manager, Technical Operations, Demand will focus on Magnite’s ClearLine product and play a lead role in ensuring clients using our technology achieve optimal results. A core component of the role is utilizing emerging AI technologies and advanced analytics to streamline workflows, identify insights across large datasets, and drive scalable operational solutions. The role serves as an internal point of escalation at the intersection of Account Management and Product/Engineering.
Responsibilities
- Manage a queue of technical escalations from ClearLine Account Managers while maintaining a high standard of organization, responsiveness, professionalism, and stakeholder communication
- Troubleshoot highly complex technical issues spanning multiple platforms, systems, reporting pipelines, APIs, and integrations
- Use modern AI tools and emerging technologies to identify repeatable operational challenges, design scalable solutions, automate workflows, and improve team efficiency
- Create and maintain technical documentation for both internal and external audiences, including troubleshooting guides, platform feature documentation, process documentation, and customer-facing support materials
- Learn new platforms, systems, and technical concepts quickly while demonstrating strong ownership and long-term retention of operational knowledge
- Act as a cross-functional project lead when needed, coordinating efforts across Technical Operations, Product, Engineering, Account Management, and external partners to resolve issues and execute initiatives
- Partner directly with Product and Engineering teams to escalate bugs, define technical requirements, reproduce issues, and support resolution efforts
- Create, manage, and troubleshoot custom data feeds and reporting solutions using SQL and Python within Snowflake, Databricks, and related data environments
- Query and analyze large datasets across multiple systems using SQL and Python to identify trends, diagnose issues, and support operational decision-making
- Troubleshoot advanced programmatic advertising workflows and integrations, including: VAST and OpenRTB protocols, DSP/SSP integrations, audience onboarding and DMP workflows, video ad serving and delivery behavior, tracking and reporting discrepancies, platform and API integrations
Requirements
Strong proficiency in SQL and Python for data analysis, troubleshooting, automation, and workflow development
Strong interest in and aptitude for learning emerging AI technologies, with the ability to apply AI tools to operational workflows and problem-solving
Strong knowledge of video advertising ecosystems, particularly within CTV and programmatic environments
Excellent technical writing and documentation skills
Strong analytical thinking and troubleshooting abilities, with experience diagnosing and resolving complex technical issues
Strong project management and cross-functional coordination skills
Excellent verbal and written communication skills, with the ability to identify root causes, explain technical concepts clearly, and guide stakeholders toward solutions
Ability to work independently, prioritize effectively, and thrive in a fast-paced environment
Strategic mindset with the ability to balance immediate operational needs with long-term scalable solutions
Qualifications
6+ years of relevant experience in technical operations, ad tech, programmatic advertising, solutions engineering, or related fields
Experience developing and optimizing media strategies for performance-driven advertising campaigns
Understanding of the programmatic advertising call chain, including VAST and OpenRTB protocols
Experience troubleshooting ad requests and API interactions using tools such as cURL and browser developer tools
Experience working with advertising agencies, DSPs, SSPs, or related advertising technology platforms
Strong understanding of audience targeting capabilities, identity/data strategies, and related advertising technologies
Skills
SQL and Python for data analysis, troubleshooting, automation, and workflow development
Emerging AI technologies for identifying operational challenges, designing scalable solutions, automating workflows, and improving team efficiency
Benefits
In New York, the base salary range for this role is $125,000 – $135,000. In Massachusetts, the base salary range for this role is $115,000 – $125,000. In Colorado, the base salary range for this role is $100,000 – $110,000. Actual compensation will be determined based on location, experience, skills, and internal equity.
This Role Is Also Eligible For Annual performance-based bonus
Equity (NASDAQ: MGNI)
Comprehensive benefits package
Comprehensive Healthcare Coverage from Day One
Generous Time Off
Holiday Breaks and Quarterly Wellness Days
Perks and Benefits
Company Culture
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