Associate Product Manager, AI, NYC

About the Role

Red Ventures GT empowers clients through a unique blend of high-scale proprietary distribution, data models, AI-enabled applications, and strategic partnerships. We help clients unlock significant and sustainable growth, transforming operations and creating efficiencies. As an Associate AI Product Manager, you’ll work at the intersection of product, data, AI, and business strategy. Teams are building and operating the products and systems that power our Growth Operating System, bringing together proprietary data and context, AI agents, reusable workflows, and personalized customer experiences. In your first two years, you’ll gain experience across the full product lifecycle, from understanding problems and designing solutions to building, deploying, measuring, and continuously improving them. You’ll work hands-on with data, code, and agents, collaborating with teammates on your workstreams to deliver outcomes. You will build the judgment to make strong product and business decisions in ambiguous environments and the communication skills to influence direction through effective storytelling.

Key Responsibilities

As an Associate AI Product Manager, you’ll take ownership of scoped problems and workstreams, working hands-on alongside cross-functional teammates to build and improve products that drive measurable outcomes.

• Own scoped problems end to end: Identify opportunities to increase product impact through a deep understanding of the problem, product strategy, technology, and rigorous analysis of data and customer behavior. Develop and communicate clear recommendations that create buy-in and action.
• Shape features and experiences: Translate recommendations into thoughtful solutions, forming a point of view on how the solution should work and the experience it should create. Collaborate with your team to define the context and requirements needed to bring the solution to life, with support from your product lead.
• Build and ship solutions: Get hands-on with data, code, and agents to drive delivery. Depending on the problem, you may contribute to customer-facing experiences, internal operational workflows, data products, or reusable platform capabilities.
• Operate and continuously improve what you build: Run experiments aimed at improving KPIs. Analyze and synthesize evaluations, feedback, and results into clear recommendations that help your team and stakeholders understand what is working, what is not, and what to do next.
• Contribute to the Growth Operating System: Use shared context, agents, and workflows to accelerate your work, while identifying opportunities to make those tools more reusable and effective for others.

Who You Are

• Commercially aligned: You have an entrepreneurial mindset and strong business instincts, with a desire to understand how products create value and identify opportunities to improve customer and business outcomes.
• Deeply curious: You have a drive to understand how the world is changing and how AI capabilities can be applied in practice. You’ve developed a working understanding of how AI systems function to find new ways to create operating leverage.
• Builder and operator: You pair strong critical thinking with technical contribution. You have an instinct to turn ideas into working solutions and get close to the details. You improve what you build based on performance and connect the dots between the business problem, the approach, the data, and the recommendation.
• Bias to action and learning agility: You are a proactive problem solver who makes progress in ambiguous environments, learns quickly when faced with unfamiliar technology or challenging problems, and takes ownership of overcoming obstacles.
• Empathetic and influential: You bring high EQ, strong empathy, communicate clearly, and can collaborate effectively in a team environment.

Qualifications

• Relevant academic and practical foundation: Graduating with a bachelor's or master's degree in Winter 2026 or Summer 2027, with academic and/or practical experience in fields such as product management, data science, computer science, or engineering.
• Hands-on data and analytical experience: Accessed, manipulated, and analyzed data from multiple sources using tools such as SQL or Python, digging beneath the surface to understand what is driving an outcome.
• Building with AI and modern technology: Multiple examples of using ML, generative AI, or other modern technologies to build working solutions. You have a technical understanding of how these systems work in practice, and have applied that to make design choices and improve performance.
• Product judgment: Designed or built a product, feature, or experience and made thoughtful decisions about how it should work, informed by user needs, business value, data, and technical considerations.
• Problem solving: Demonstrated ability to develop and test hypotheses, establish root cause, synthesize what you learn, and communicate a clear recommendation to others.

Compensation

• Total Cash Compensation: $125,000 per year

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): Full-time employees accrue 20 days of PTO annually, with an increase to 25 days after five years of service.