Kargo is looking to improve the strategy, development, and optimization of its advertising marketplace by enhancing auction architecture, increasing marketplace efficiency, and maximizing advertiser and user value through data-driven decisions and machine learning.
Requirements
- Exceptional quantitative and analytical skills; fluent in metrics and experimentation methodologies; proficient in SQL and Python.
- Strong experience working with ML/engineering teams on data-intensive or algorithmic products.
- Background in online advertising, OpenRTB, SSPs, or DSPs preferred.
Responsibilities
- Contribute to the vision and strategy of our ad marketplace, including auctions, pacing, curation, and pricing mechanics.
- Partner cross-functionally with Engineering, Data Science, Machine Learning Engineering, Product Marketing, and Revenue teams to deliver impactful, ML-powered marketplace features.
- Own and define key components of the product roadmap, balancing stakeholder needs, business priorities, and technical complexity.
- Collaborate closely with ML and Outcomes teams to improve prediction models, bidding logic, and experimentation frameworks.
- Design, run, and evaluate A/B and multivariate tests at scale.
- Develop KPIs and analytics frameworks to continuously monitor marketplace health and monetization efficiency.
- Lead market research, competitive analysis, and partner feedback synthesis to guide product innovation and prioritization.
Other
- 3+ years of Product Management experience, ideally in ad tech, real-time auctions, marketplace dynamics, or ML-driven systems and platforms.
- Demonstrated success managing products and projects from concept through launch and iteration.
- Strong communicator with the ability to work effectively and present across technical counterparts, non-technical stakeholders, and senior leadership.
- Track record of working collaboratively across diverse teams, aligning stakeholders with varying priorities, and building shared understanding in complex decision environments.
