Bigabid is an innovative technology company led by data scientists and engineers who are devoted to mobile app growth. Our proprietary ad platforms, powered by machine learning, are the outcome of that devotion.
We use elite programmatic user acquisition and retargeting technologies to deliver valuable results and insights for a fast-growing clientele of major app developers.
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. This data is used to power our machine learning predictions, business-critical metrics, and analytics, which in turn power our decision-making.
We’re looking for a Data Product Manager to lead key data products and help drive core infrastructure initiatives. This role blends product thinking, technical depth, and cross-team collaboration perfect for someone who enjoys solving complex problems and working closely with engineering, BI, and architecture teams. This is a new role, so you’ll have plenty of room to shape how it works and make it your own.
If you're passionate about solving real-world challenges at scale, enjoy building products in highly technical domains, and want to lead cross-functional teams in a fast-paced environment, this is your chance to make a real impact.
Responsibilities
- Lead data-heavy products end-to-end from ideation and feasibility through execution, rollout, and ongoing support, individually or with other PMs.
- Set the strategic direction for data as a product, defining how data is structured, governed, and delivered to maximize business impact. Ensure clarity, usability, and adoption through strong data quality practices and business-aligned standards.
- Drive core data infrastructure initiatives by representing product and business needs, ensuring clear value, and partnering with architects and engineering leadership on key platform improvements.
- 5+ years of experience in product management, preferably in data-rich or technical environments.
- Previous hands-on technical experience (e.g., developer or data analyst)
- Strong understanding of data engineering and architecture concepts ,fluent in SQL.
- Strong analytical skills with the ability to derive insights from complex datasets for making product decisions and measure product success.
- Excellent communication and organizational skills; ability to rally cross-functional teams around a shared vision.
- Bachelor’s or Master’s degree in a technical or analytical field.
Bonus Points:
- Experience in the ad-tech industry or mobile app ecosystem.
- Background in developing platforms or products for B2B customers.
- Technical fluency and experience working closely with engineering and data science teams.
