Campaign Manager/ Ad operations Manager

Campaign Manager(Mobile Adtech Platform)

Skill Set Required:

Campaign Management, Platform Management, Mobile Advertising,Mobile Marketing,JIRA, Analytics, DSP/SSP integration, Publisher Onboarding, Programmatic Media, OpenRTB, DMP, Fraud and Viewability, Ad SDK, API, AWS (S3, EC2, Athena) , GCP basics, Grafana, Postman API, Ad Mediation, DV360, Programmatic PMP, Debugging, Bid Enrichment, Programmatic Operation, Revenue Generation,Confluence, Salesforce, DCM, DBM, Appnexus, Mixpanel, Sizmek, Google Analytics, SQL]

Primary Roles:

Programmatic platform ownership including Branding and Performance DSP ( TrueReach, DV360), Native Ads( Taboola, Outbrain) , Video/Audio Ads, Analytics and Attribution platforms ( AppsFlyer, Apsalar, Kochava) and Social Media ( Facebook, LinkedIn) , Trading Desks ( TTD), Mediation ( Mopub, Admob) and Fraud mgmt. tools (Forensiq, Pixalate).

Manage Campaign Operations (QA, Delivery, Optimisation), Publisher Operations (onboarding inventory, site tags and pay-out) and Business Operations teams while reporting to COO/Business Head on overall platform performance.
Working on DSP and SSP onboarding & integration with our Self-Serve platform through (OpenRTB API, Endpoint). Publisher integration with (S2S API, JS and SDK). Manage Domain BL/WL, Timeout, QPS, Reporting for the same.
Working on Audience Platform, In-house and 3rd party DMP solutions for audience building and campaign management, audience product enablement for programmatic ad solutions.
Working alongside Business head, Sales and AM team for sales enablement, helping team understand business and product use cases on programmatic and DSP delivery campaigns.
Working with CTO, Engineering Head and Technical Architects on SDK, API and platform integration works.
Working with DevOps, SRE, Infra and QA teams on the platform stability, application monitoring, debugging and log analysis to make sure backend systems work as per the business needs.
Working with Data Science team on the bid distribution study, KPI estimation models, reporting and analytics, Throttling System, Data pipeline work and experimentations to improve audience data sets.
Looking at reporting in order to gain insights and communicate to diverse teams on the action steps to be done.

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