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Header Bidding Ops Specialist

Job Description

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in India

As a Bid Ops Monitoring Specialist on the Bid Operations team in our Gurugram Office, you’ll play a vital role in monitoring the health and performance of revenue-generating products and services to ensure platform stability and business continuity. You’ll proactively identify, investigate, and coordinate the resolution of operational issues before they impact customers or revenue. By partnering across engineering and business teams, you’ll help maintain operational excellence and drive continuous improvements in monitoring and incident response.

To thrive in this role, you’ll need:

  • 2+ years of experience in operations monitoring, technical support, ad operations, or a similar role.
  • Proficiency in SQL for data analysis and HTML/CSS for troubleshooting.
  • Experience using monitoring dashboards such as Grafana and Tableau.
  • Experience working with case management tools such as Salesforce or Jira.
  • Availability to work rotational shifts in a 247 operations environment.

Bonus points if you have:

  • Basic understanding of Header Bidding, RTB, online advertising, and ad-tech technologies.
  • Experience contributing to monitoring automation, alert optimization, or operational process improvements.

How you’ll make an impact:

  • Monitor Header Bidding, ROC, and other operational alerts, incidents, and business KPIs to ensure platform stability and revenue protection.
  • Investigate and manage cases generated through automated alerts, internal support requests, and proactive health checks using Salesforce, Jira, and internal tools.
  • Review dashboards in Grafana, Tableau, and other monitoring platforms to identify system health issues, trends, and operational risks.
  • Perform initial triage, investigate alerts, follow operational playbooks, and escalate complex technical issues to the appropriate teams.
  • Collaborate with Account Managers, Professional Services, R&D, and other stakeholders to coordinate investigations and drive timely issue resolution.
  • Contribute to knowledge management, incident response, monitoring enhancements, automation initiatives, and continuous operational improvements.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”

Well-being: [See region specific Well-being bullets here]

Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.

Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

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#LI-Hybrid

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