2027 Launch Program: Associate Product Manager, AI

Red Ventures • Charlotte, NC

1d

About The Position

This role is part of the 2027 Launch Program, offering an opportunity to onboard into a full-time role at Red Ventures in a cohort-style environment. The program provides in-depth training on Red Ventures' beliefs, culture, business model, and leadership. The initial weeks involve training with a cohort of new employees, forming a support system. After onboarding, participants join their respective teams, meet managers and mentors, and find opportunities for impact and career advancement. 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. RVGT partners with Fortune 500 companies to drive growth across customer acquisition, expansion, and retention. The teams build and operate products and systems that power the Growth Operating System, utilizing proprietary data, AI agents, reusable workflows, and personalized customer experiences. Successful AI Product Managers are builders and operators, combining analytical thinking, AI fluency, product judgment, and an entrepreneurial mindset to create working products that solve business and customer problems. In the first two years, you will gain experience across the full product lifecycle, from understanding problems and designing solutions to building, deploying, measuring, and improving them. You will work hands-on with data, code, and agents, collaborating with teammates to deliver outcomes, and develop judgment for making product and business decisions in ambiguous environments, along with communication skills for influencing direction.

Requirements

• 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)
• 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.
• 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.
• 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.
• Demonstrated ability to develop and test hypotheses, establish root cause, synthesize what you learn, and communicate a clear recommendation to others.

Nice To Haves

• 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 so you can 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.

Responsibilities

• Own scoped problems end to end: Identify opportunities to increase the impact of your product through a deep understanding of the problem, product strategy and technology, and rigorous analysis of data and customer behavior.
• Develop and communicate clear recommendations that create buy-in and action.
• Shape the 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.

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 for a full calendar year annually, with an increase to 25 days after five years of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level