Data Science Manager (AI Products)

• In this role, you’ll lead a small, high-impact team of data scientists focused on solving meaningful business problems through the development of software products powered by machine learning, generative AI, and agentic AI systems
• You’ll help build our underlying platform capabilities and own a team that is responsible for leveraging to create personalized voice and digital experiences You’ll partner closely with product managers, engineering, and business stakeholders to deliver solutions that drive measurable growth for our stakeholders
• This role is designed for a true player-coach: someone who can architect and build alongside their team while also providing leadership, direction, and mentorship
• You will contribute directly to solution design, author and review production code, scope engagements, and engage directly with partners while simultaneously developing your team’s capabilities and scaling impact through others
• A central focus of this work is building AI-driven, 1:1 personalized customer-facing products powered by large language models and autonomous agents
• Your work will have a visible impact on real customer and partner outcomes and on the business’s bottom line
• We welcome candidates from different backgrounds and believe that diverse, inclusive teams build better products
• Lead a team of 3+ data scientists setting technical direction and priorities, managing performance, and developing careers, including hiring as the team grows
• Architect end-to-end AI/ML and agentic solutions, author first drafts of technical implementations, review pull requests, and uphold high standards for code and system quality
• Partner with Data Science Product Managers, Engineering, Product, and Business leadership to shape and deliver data science initiatives aligned with broader organizational strategy
• Translate ambiguous business and partner problems into well-scoped data science and AI solutions including work breakdown, effort estimation, and delivery planning
• Build and ship LLM-powered and agentic AI systems in production, owning them from prototype through deployment, monitoring, and iteration
• Own technical decision-making for your team, including model and agent architecture, tooling, observability, evaluation strategies, and operational best practices
• Drive a culture of experimentation, measurement, and iteration by defining success metrics and tracking impact over time
• Represent data science in cross-functional and partner-facing discussions, including presenting solutions and progress directly to external stakeholders

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.- A proven track record delivering production data science solutions using machine learning and/or generative AI
• Business acumen and a track record of translating open-ended partner and customer problems into shipped ML solutions, recommendation systems, LLM-driven personalization, agentic products, supervised models of customer behavior, that drive acquisition, retention, and operational outcomes
• Comfort balancing technical depth with clear communication, writing and reviewing code while also scoping work, aligning stakeholders, and supporting team growth
• Solid understanding of the ML/LLM lifecycle and LLMOps/MLOps concepts, including deployment, monitoring, and iteration in production environments—with hands-on experience using tools such as LangSmith, MLflow, or similar platforms. Familiarity with AI-assisted development tools such as Claude Code is a plus
• Hands-on experience building LLM-based and agentic AI systems, wi…