2027 Launch Program: Associate Product Manager, AI

About the role

You will own scoped problems and workstreams end to end, identifying opportunities to increase the impact of your product through deep problem understanding, product strategy, and technology. You will shape the features and experiences by translating recommendations into thoughtful solutions and forming a point of view on how the solution should work and the experience it should create. You will build and ship solutions hands-on with data, code, and agents to drive delivery, contributing to customer-facing experiences, internal operational workflows, data products, or reusable platform capabilities. You will operate and continuously improve what you build by running experiments aimed at improving KPIs and analyzing evaluations, feedback, and results into clear recommendations. You will contribute to the Growth Operating System by using shared context, agents, and workflows to accelerate your work while identifying opportunities to make those tools more reusable and effective for others. You will collaborate with cross-functional teammates to build and improve products that drive measurable outcomes, and you will build the judgment to make strong product and business decisions in ambiguous environments.

Key facts

What you'll do

• 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.
• Work hands-on alongside cross-functional teammates to build and improve products that drive measurable outcomes across the Growth Operating System.
• Combine strong analytical thinking, AI fluency, product judgment, and an entrepreneurial mindset to turn ideas into working products that solve real business and customer problems.
• In your first two years, you will get repetitions across the full product lifecycle, from understanding problems and designing solutions to building, deploying, measuring, and continuously improving them.

Requirements

• This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.
• You must be located in Charlotte, NC, to perform the responsibilities of this role.
• You must be available to start within the expected timeframe outlined in the Launch Program cohort schedule.
• You must commit to participating fully in the Launch Program onboarding, training, and cohort activities during your initial weeks at Red Ventures.
• You must be able to work collaboratively within a team environment that relies on shared context, agents, and workflows to accelerate delivery.
• You must be comfortable working hands-on with data, code, and AI agents to build and iterate on solutions in production environments.
• You must be capable of analyzing data, interpreting results, and communicating findings and recommendations to both technical and non-technical stakeholders.
• You must demonstrate strong judgment in making product and business decisions in ambiguous and rapidly evolving environments.

Practical notes

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Location: This role is based in Charlotte, NC.

• Visa constraints: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.
• Cohort participation: You will join a cohort of new hires starting their careers at Red Ventures, participating in structured onboarding and training before joining your team.
• Career development: After the initial onboarding period, you will join a team, meet your manager and mentor, and find opportunities to make a substantial impact and quickly advance your career.
• Timeline: You must be available to start within the expected timeframe of the Launch Program cohort.
• Duration in role: You will gain repetitions across the full product lifecycle during your first two years in this role.

This role represents an opportunity to join Red Ventures through the Launch Program and begin your career as an Associate AI Product Manager within the RVGT division. You will engage with a cohort of new hires, receive structured training on Red Ventures beliefs, culture, business model, and leadership, and then integrate into a team where you can build hands-on experience with data, code, and AI agents. You will own scoped problems end to end, contribute to the Growth Operating System, and develop the analytical, product, and communication skills needed to drive measurable outcomes. The role requires commercial alignment, entrepreneurial thinking, and the ability to operate in environments with ambiguity while maintaining a focus on delivering customer and business value through data-informed, AI-enabled products. You must be committed to full participation in the Launch Program and located in Charlotte, NC, and you must be able to start within the cohort timeline to be considered for this opportunity.