No information about remote work conditions has been provided for this job.
Type of contract for this position: Permanent contract
No work experience is required to apply for this job.
The position
Job description
As an Associate AI Product Manager within RVGT, you’ll work at the intersection of product, data, AI, and business strategy
Our 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 to help our clients acquire and retain customers more efficiently, intelligently, and at greater scale
In your first two years, you’ll get repetitions 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
Along the way, you’ll build both the judgment to make strong product and business decisions in ambiguous environments and the communication skills to influence direction through effective storytelling
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 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
Hybrid Schedule & Flexible PTO: Take advantage of 3-4 days in-office per week and 1-2 WFH days per week (varying by team), and a robust Paid Time Off program that includes logging off for “Winter Week.”
Family Support, Planning, and Fertility: Our benefit offerings support every unique path to parenthood including fertility, egg freezing, adoption, surrogacy, parental bonding, and more.
Mentorship Culture: Find a mentor, be a mentor, say yes to something new. This is a place where you’re guaranteed to build connections that extend past your immediate team and even your tenure at RV.
Purpose & Community: We empower employees to make an impact for causes they care about, and we invest heavily in systemic impact through nonprofits like Road to Hire.
World-Class Wellness: In addition to the on-site amenities at HQ, our unique wellness benefits include free therapy sessions and counseling for U.S. employees and family members.
Preferred experience
We believe successful AI Product Managers are both effective builders and operators
They 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
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
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
You improve what you build based on performance and connect the dots between the business problem, the approach, the data, and the recommendation
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
Problem solving: Demonstrated ability to develop and test hypotheses, establish root cause, synthesize what you learn, and communicate a clear recommendation to others
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