Data Product Manager (AI)

TL;DR

Data Product Manager (AI): Deploying machine learning models to categorize YouTube videos and channels with an accent on iterating on old models and building new innovations. Focus on translating technical concepts into scalable, customer-facing products and ensuring innovation ties directly to business impact.

Location: Boston, Massachusetts

Salary: $150,000 - $170,00 including a potential bonus opportunity and equity.

Company

hirify.global 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.

What you will 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 hirify.global’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.

Requirements

• 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.
• Proficiency in technical tools such as SQL (required) and familiarity with Python or other data analysis tools.

Nice to have

• Experience with YouTube measurement/verification ecosystems (DV, IAS, Moat, etc.).
• Experience with Looker.

Culture & Benefits

• Value innovation, collaboration, and curiosity with a passion for getting things done.
• Strive to hire and cultivate the best employees and foster a culture of open communication and transparency.
• Driven and hard-working, but also committed to having fun along the way with happy hours, team outings, and flexible paid time off.