We provide digital advertising data driven solutions for the world’s largest brands. If you understand that the future of advertising is in data and you are passionate about the online arena, come join our A team.
Check out our open positions below or apply at jobs@cignal.io
Work closely with the team to define roles and review candidates, source and screen candidates from various channels.
Build and manage Employee onboarding process.
Manage recruitment and interview processes. Conduct initial introduction calls for various positions and perform reference calls.
Manage team calendar, plan and execute team building events. Schedule and coordinate conferences, events, travel and other similar activities. Ensure a high level of employee engagement.
Work with our team to execute cignal’ HR strategy, vision and values.
Be the point of contact for all HR issues related to the entire employee lifecycle
Become an expert with cignal’ proprietary technology. Manage the onboarding, integration, support, and optimization of CORE partners - SSPs, DSPs,
DMPs and direct programmatic buyers and sellers. Build relationships with technical and business contacts on Demand and Supply side, establishing
yourself as a trusted advisor on all aspects of the programmatic ecosystem. Lead revenue initiatives related to programmatic partners.
Provide expert level guidance to DSPs and SSPs on CORE console; knowing our offering’s full
potential to be able to advise on the best technical solutions.
Analyze large sets of performance data and communicate findings to internal teams and external
partners.
Debug and diagnose day to day CORE’s partners to resolve technical issues. Help improve our operations workflow through the development of new processes and best-practices.
Suggest, and at times directly improve and create CORE’s external documentation and
collateral materials set, including API specs, FAQ, partner procedure guides, etc.
Communicate internally and externally the status and on-going timeline for integrations.
We are looking for a Data Scientist to join its science team, responsible for implementing deep learning algorithms on sparse, heterogeneous and trending data, discovering problems insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills. This role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.
We are looking for a Big Data Engineer to join its development team, responsible for building a scalable, repeatable, and secure data pipelines platform using several no-SQL databases.
Our positions are updated constantly, please check in on us again next week.