Associate Product Manager, AI

About the Role

The Launch Program is an opportunity to onboard into a full-time role at Red Ventures in a cohort-style environment, providing in-depth training on company beliefs, culture, business model, and leadership. After initial onboarding, you will join a team to make a substantial impact and advance your career.

As an Associate AI Product Manager within RVGT (Red Ventures Growth and Transformation), you will work at the intersection of product, data, AI, and business strategy. You will contribute to building and operating products and systems that power the Growth Operating System, utilizing proprietary data, AI agents, reusable workflows, and personalized customer experiences. Successful AI Product Managers combine strong analytical thinking, AI fluency, product judgment, and an entrepreneurial mindset. In your first two years, you will gain experience across the full product lifecycle, from problem identification and solution design to building, deploying, measuring, and improving products. You will work hands-on with data, code, and agents, collaborating with teammates to deliver outcomes, building judgment for ambiguous environments, and developing communication skills.

Key Responsibilities

As an Associate AI Product Manager, you will take ownership of scoped problems and workstreams, working hands-on with 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 context and requirements, with support from your product lead.
• Build and ship solutions:
• Get hands-on with data, code, and agents to drive delivery.
• 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 for your team and stakeholders.
• Contribute to the Growth Operating System:
• Utilize shared context, agents, and workflows to accelerate work.
• Identify opportunities to make tools more reusable and effective for others.

Qualifications

• Commercially aligned: 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: Drive to understand how the world is changing and how AI capabilities can be applied in practice. Developed a working understanding of how AI systems function to find new ways to create operating leverage.
• Builder and operator: Strong critical thinking paired with technical contribution. Instinct to turn ideas into working solutions and get close to details. Improve what you build based on performance and connect the dots between the business problem, approach, data, and recommendation.
• Bias to action and learning agility: Proactive problem solver who makes progress in ambiguous environments, learns quickly with unfamiliar technology or challenging problems, and takes ownership of overcoming obstacles.
• Empathetic and influential: High EQ, strong empathy, communicate clearly, and collaborate effectively in a team environment.

Requirements & Tech Stack

• 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. (Start date in our August 2027 cohort)
• Hands-on data and analytical experience: Accessed, manipulated, and analyzed data from multiple sources using tools such as SQL or Python, understanding 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. Technical understanding of how these systems work in practice, applied to make design choices and improve performance.
• Product judgment: Designed or built a product, feature, or experience and made thoughtful decisions informed by user needs, business value, data, and technical considerations.
• Problem solving: Demonstrated ability to develop and test hypotheses, establish root cause, synthesize learnings, and communicate clear recommendations.

Compensation

• Total Cash Compensation: $100,000 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, increasing to 25 days after five years of service.