Careers at Bigabid

Product Manager

Bigabid is an innovative technology company led by data scientists and engineers  devoted to mobile app growth.  Our proprietary ad platforms powered by machine learning are a culmination of that devotion. We deliver valuable results and insights for a fast growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.

Our ever evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time.

We are searching for an experienced data product manager to join our product team. You will play a leading role in developing our entire portfolio of data products and services. If you want to make an impact, are passionate about data, and not afraid of technical challenges, this is the position for you! 


  • Lead the entire portfolio of data products and services. 
  • Work closely with data engineering and data science teams to provide solutions for scalability and streamlined production releases.
  • Translate business requirements into technical designs at all levels of the product including: analytical products, reporting, DB Schemas, data infrastructure, APIs and other integrations.
  • Define streaming services over spark, batch based ETLs and APIs for our different partners.
  • Manage and prioritize the data engineering sprint based on Agile (scrum) methodology.


  • 5+ years of experience as data product manager
  • 3+ years of experience as a technical product manager
  • Bachelor’s/Master’s degree in a relevant field
  • Experience as a product manager in any of the following: data products, large scale cloud based or analytics-heavy products, machine learning funnels, integrations, APIs etc. 
  • Proven experience in writing specification documents: business requirements, detailed design including functional and non-functional requirements
  • Strong analytical reasoning, product sense, and communications skills. 
  • Strong project management, organizational skills, attention to details, and data analysis. 


  • Experience with Big Data technologies and data infrastructure ecosystem (e.g. Apache spark) 
  • Experience with AI/Machine Learning products
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