Mid, AI Product Manager | Consumer

This role requires a hybrid schedule based in our New York office (Tuesday through Thursday) and fully remote work on Mondays and Fridays. This position is not open to visa sponsorship or transfer, including H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available for corp-to-corp arrangements.

About the Role

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 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 flagship initiative 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 own product life cycles end-to-end, establish workstream strategies, set roadmaps, drive adoption of AI-driven tooling, and utilize end-user feedback to guide next steps. You should be deeply analytical, relentlessly curious, and bring a strong intuition on how modern AI systems work in production.

Responsibilities

• 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.
• 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 experiments and KPIs that end users operate.
• Influence through communication: Establish regular communication with product leadership, stakeholders, and 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.

Requirements

• Commercially minded: Entrepreneurial mindset with strong business acumen, capable of generating data-driven ideas to create value for consumers and clients.
• Technical fluency: Strong technical and data foundation to collaborate effectively with engineers and data scientists, understand relevant algorithms, translate complex technical concepts for non-technical stakeholders, and leverage modern AI tools.
• Bias to action: Proactive problem solver who can discern input from multiple stakeholders, integrate data-driven insights with intuition, and prioritize workstreams effectively.
• Trailblazer: Eagerness to dive into advancements in technology to create leverage in day-to-day work.

Qualifications

• End-to-end involvement: Experience across the product lifecycle—from identifying opportunities to measurement and optimization of production-grade solutions.
• Stakeholder engagement: Experience collaborating with stakeholders, partaking in discovery conversations, validating opportunities, and executing work toward jointly defined expectations.
• Value creation: Proven track record of delivering measurable business outcomes through AI/ML, including driving behavior change, optimizing key metrics, and demonstrating clear ROI.
• Hands-on analytical: Fluent in data-related programming languages (e.g., SQL, Python, R) and operating with LLMs (e.g., GPT, Claude, Gemini) to collect, mine, and analyze raw data sets. Experience diving into data and models vs. relying on other teams for insights.

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): 20 days annually, increasing to 25 days after five years of service

Pay

New York City Total Cash Compensation Range: $158,000 – $190,000 per year. Actual compensation varies based on location, experience, and qualifications.

Schedule

Hybrid schedule: In-office Tuesday through Thursday in New York, fully remote on Mondays and Fridays.