Data Product Manager

Who We Are

Pixability is the leading AI-driven technology company that empowers the world’s largest brands and their agencies to maximize the value of their video advertising across YouTube and CTV. Leveraging its proprietary technology platform and data, Pixability reduces wasted impressions on video campaigns by identifying contextually relevant, brand suitable inventory and maximizes cost efficient outcomes. Pixability’s suite of solutions have been used by the top media agencies including Dentsu, Interpublic Group, Omnicom, Publicis, and GroupM, and brands such as KIND, McDonalds, Salesforce and Puma. For more information about Pixability, please visit http://www.pixability.com

Our Award-Winning Culture

Our team is the heart of our culture. We value innovation, collaboration, and curiosity with a passion for getting things done. We strive to hire and cultivate the best employees and foster a culture of open communication and transparency. We are driven and hard-working, but also committed to having fun along the way with happy hours, team outings, and flexible paid time off. We’re proud to be in the top 3% of Google Partners worldwide, as well as being listed on the Inc. 5000 for nine consecutive years.consecutive years.

 

The Role:

Pixability is looking for an experienced Product Manager to join our Product team. This role is focussed on deploying our machine learning models to categorize YouTube videos and channels. This data is core to our product and we will continue to iterate on old models, and build new innovations. 

Who You Are:

You are a product manager who brings structure, accountability, and momentum to complex data science-driven initiatives. You are highly execution-focused, consistently setting clear priorities, defining success metrics, and driving teams to hit deadlines while maintaining quality. You actively manage and support data science teams, keeping workstreams on track, removing blockers, and ensuring timely delivery against roadmap commitments. You maintain a strong pulse on external innovation—continuously scanning the landscape for new methodologies, tools, and advancements—and bring forward opportunities for the team to test and incorporate. You have a solid understanding of data science workflows and can translate technical concepts into scalable, customer-facing products. You are both pragmatic and forward-thinking, ensuring innovation ties directly to business impact, and you communicate effectively across stakeholders while taking full ownership of outcomes.

What You’ll Do:

• Drive execution of the data science product roadmap, ensuring projects are clearly scoped, prioritized, and delivered on time against defined success metrics
• Partner closely with data science and engineering to translate models and experiments into scalable, customer-facing product capabilities
• Continuously evaluate external innovations and emerging technologies, bringing forward opportunities for testing and integration that improve performance and differentiate Pixability’s offering
  
  
• Monitor and evaluate the performance of existing models, ensuring ongoing accuracy, stability, and continuous improvement over time
  Develop a deep understanding of customer needs by gathering feedback and insights, and use that input to inform prioritization and roadmap decisions

What You Bring to the Party:

Required:

• 5+ years of product management experience, with direct ownership of data science, machine learning, or analytics-driven products
• Demonstrated ability to drive execution and consistently deliver complex, cross-functional projects on time
• Strong understanding of data science workflows, including experimentation, model development, evaluation, and deployment
• Experience working closely with data scientists and engineers, with the ability to translate technical concepts into clear product requirements
• Proven track record of managing ambiguity, setting priorities, and making data-informed decisions that drive business outcomes
• Ability to monitor and interpret model performance, including defining success metrics and identifying opportunities for optimization
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