Associate AI Product Manager: Growth & Data

Red Ventures; New York (NY); Vor Ort; USD 105.000 - 145.000; Vollzeit

Benefits dieser Stelle

Health Insurance Coverage (medical, +d

Life Insurance

Short and Long-Term Disability

Flexible Spending Accounts

Holiday Pay

401(k) with match

Employee Assistance Program

Paid Parental Bonding Benefit Program

Flexible Paid Time Off (PTO)

Zusammenfassung

Red Ventures is hiring an Associate AI Product Manager to bridge product, AI, and business strategy in New York. You’ll own end-to-end problems, shape features with clear requirements, and collaborate with teams to deliver data-driven solutions using agents and reusable workflows.

You’ll gain hands-on experience across the full product lifecycle, learning to deploy, measure, and iterate while leveraging AI capabilities for scalable customer growth.

Qualifikationen

• Bachelor’s or Master’s degree in a relevant field with graduation Winter 2026 or Summer 2027.
• Hands-on data analysis using SQL or Python to derive insights.
• Experience applying ML or generative AI to build working solutions.
• Strong product judgment and problem-solving ability.
• Ability to translate data and feedback into actionable recommendations.

Aufgaben

• Own scoped problems end to end from problem to impact.
• Shape features and experiences with clear requirements.
• Build and ship data-driven solutions with agents and workflows.
• Run experiments to improve KPIs and synthesize learnings.
• Contribute to Growth Operating System using reusable tools.

Kenntnisse

SQL / Python data analysis

AI/ML fundamentals

Product mindset

Entrepreneurial/business sense

Ausbildung

Bachelor's or Master's degree in relevant field

Jobbeschreibung

Red Ventures is hiring an Associate AI Product Manager to bridge product, AI, and business strategy in New York. You’ll own end-to-end problems, shape features with clear requirements, and collaborate with teams to deliver data-driven solutions using agents and reusable workflows.

You’ll gain hands-on experience across the full product lifecycle, learning to deploy, measure, and iterate while leveraging AI capabilities for scalable customer growth.