At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices.
We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization.
In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.
As the Principal Product Manager, Data Science, you will work closely with cross-functional teams, including data science engineers, software developers, and business stakeholders, to define and drive the product roadmap for our data-driven initiatives.
You will focus on leveraging advanced data science and machine learning techniques to uncover insights, optimize models, and develop strategies that increase revenue while reducing costs across our programmatic advertising products.
Key Responsibilities:Product Strategy & Roadmap Development: Define and execute the product roadmap for data science initiatives aimed at enhancing revenue generation and cost reduction.
Collaborate with business leaders to align product strategy with company goals and market opportunities.
Ensure that all product initiatives are data-driven, measurable, and aligned with business objectives.Data Science Collaboration: Work closely with data science engineers and analysts to identify key insights and opportunities through data.
Translate complex data findings into actionable strategies for the business and product teams.
Oversee the development and optimization of predictive models, algorithms, and machine learning systems.Data Revenue & Cost Optimization: Focus on driving the development of algorithms and models that optimize pricing, bidding, targeting, and other aspects of programmatic advertising.
Driving key levers to improve profitability through better decision-making processes powered by data insights.Metrics & Performance: Define key performance indicators (KPIs) and success metrics for product initiatives, ensuring constant measurement of impact and effectiveness.
Use data to continuously optimize and refine product offerings, ensuring they meet user needs and business objectives.Key Requirements:Experience & Background: 10+ years of experience in product management, with at least 3+ years focused on data science and machine learning.
Prior experience in AdTech, Exchange, or Programmatic Advertising environments is a significant advantage.
Proven track record of delivering successful data-driven products that improved business outcomes.
Strong understanding of data science methodologies, machine learning techniques, and their application to real-world business problems (e.g., predictive modeling, A/B testing, etc.
).Technical & Analytical Skills: Experience working closely with data science engineers and understanding technical challenges and opportunities related to algorithms, models, and data infrastructure.
Proficiency in data analysis tools and languages such as Python, R, SQL, or similar.
Knowledge of key ad-tech concepts including programmatic advertising, demand-side platforms (DSPs), real-time bidding (RTB), and exchange dynamics.Strategic Thinking: Ability to think both strategically and tactically, balancing long-term vision with short-term execution.
Experience in identifying and capitalizing on opportunities to reduce costs and increase revenue through data insights.Collaboration & Communication: Excellent communication skills with the ability to engage and align both technical and non-technical stakeholders.
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