Associate AI Product Manager (Platform)

• We are seeking an Associate, AI Product Manager to join our central AI Products team within Home Client Services

• Our team builds AI-native products that transform how customers and agents interact with our clients and businesses

• One of our flagship initiatives is our AI voice platform that powers intelligent conversational experiences across sales and operational workflows

• Leveraging modern LLMs, speech technologies, real-time decisioning, and internal AI infrastructure, we create scalable solutions that enable teams to deploy AI-driven interactions and agent assistance to improve customer outcomes at scale

• You will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers

• As an Associate, AI Product Manager, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on

• We are looking for 1+ years of hands-on data science / advanced analytics experience or product management on an AI/ML consumer-facing application

• Identify opportunities: Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action

• Translate insights into execution: Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead

• Execute technical workstreams: Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:

• Data pipelines to gather, manipulate, prepare, and visualize large datasets

• Machine learning models for offline and proof-of-concept use cases

• LLM workflows to automate tasks or for reasoning capabilities for specific features in your product

• End to end ownership of experiments: Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative

• Stay ahead of the curve: Research advancements in machine learning and generative AI to identify innovative ways to solve business challenges

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.- Analytical thinker: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation

• Resilient learner: Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. You take a proactive approach to overcoming obstacles

• Technically fluent: You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders

• Creative problem solver: An entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact

• Real-world product experience: Experience working on a product—whether as a product manager, product analyst, or data scientist

• Data-driven problem solving: Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences

• Applied ML/AI: Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT5, Claude). Thorough knowledge in statistics and machine learning techniques

• Analytical self-sufficiency: Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau)