Mid, AI Product Manager | Consumer

This role requires a hybrid schedule and will be based in our New York office (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. 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. Curious how Home fits into Red Ventures? Click here.

Red Ventures Home empowers partners through a unique blend of high-scale proprietary distribution, data models, AI-enabled applications, and strategic client partnerships. We help our clients unlock significant and sustainable growth across the home services ecosystem, ranging from telecom and security to energy and home automation.

We are seeking an 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.

In this role, you will have the opportunity to own product life cycles from end to end. You will be responsible for establishing workstream strategies, setting roadmaps for the team, driving adoption of our AI-driven tooling and applications, creating value, and utilizing end-user feedback to determine what to do next. We expect the person in this role to be deeply analytical and relentlessly curious. You should bring a strong intuition on how modern AI systems work in production, the analytical rigor to uncover signals in ambiguity, and the critical thinking to reason through where AI can truly create value - not just what to build, but why it matters and how to execute. We’re looking for a doer, someone who has built solutions with LLMs, is accelerating their work through agents, and has a genuine affinity for the space.

This role will have a high level of visibility across the industry group. You will be the point-person for a key initiative with multiple senior stakeholders while working cross-functionally across the greater business and technology teams. Your contribution to the organization will be multifaceted – we are looking for someone who has a strong data foundation, can effectively collaborate with their development team, and can influence business decisions using their expertise and communication skills.

What You’ll Do

• Drive scoped initiatives end to end: Lead workstreams from concept through delivery, ensuring alignment with product goals and business strategy, and translating larger initiatives into clear requirements, deliverables, and KPIs
• Partner cross-functionally: Collaborate with Business, Data Science, Design, and Engineering teams to turn product requirements into features, models, and data products, managing milestones, timelines, and dependencies through completion
• Value Creation: Own product adoption through effective peer collaboration and influential stakeholder communication. Ensure scalability, reliability, and extensibility of platform features for use across multiple industry groups. Understand the experiments and KPIs that your end users are operating as well as they do.
• Influence through communication: Establish regular communication with product leadership, stakeholders, and/or client counterparts, crafting data-driven narratives that connect progress and outcomes to business impact and tradeoffs
• Prototype and experiment: Use LLMs, agent frameworks, and modern AI development tools to rapidly prototype workflows, test ideas, and run experiments that inform product decisions and accelerate development cycles.
• Mentor junior teammates: Support junior talent, coaching on product, technical, and analytical skillsets.

Who You Are

• Commercially minded: You have an entrepreneurial mindset with strong business acumen and are capable of coming up with data-driven ideas to create value for consumers and clients
• Technical fluency: You have a strong technical and data foundation that enables you to collaborate effectively with engineers and data scientists, understand relevant algorithms, translate complex technical con…