Staff Product Manager

Job Description

Job Description About Freddy AI Freddy AI powers the next generation of CX automation and agent augmentation across Freshworks products from intelligent AI Agents & chatbots, Copilots and AI Insights. We re building real-world AI products that blend the latest in LLMs, retrieval-augmented generation (RAG), and Agentic systems to create tangible business outcomes. The Role As a Staff Product Manager on the Freddy AI team, you will: Own and scale critical AI products Freddy AI Agents and Freddy Copilot driving vision, roadmap, and outcomes end-to-end. Deeply understand user needs and how modern AI (LLMs, RAG, Agentic systems) can solve real-world CX problems elegantly and responsibly. Drive hands-on product innovation, collaborating with Engineering, Data Science, and Design to ship high-impact features fast. Simplify complex AI capabilities into intuitive, user-friendly experiences without losing technical depth. Operate as a founder setting goals, executing experiments, measuring success, and iterating to achieve business impact. Qualifications What We re Looking For 8 -12 years of working in global/cross-functional software teams in a software product company. SaaS experience is preferred as you d settle right in. 6+ years of core product management experience in building features for internet software products. 4+ years experience of managing AI / ML / NLP products. Past experience as a data scientist is highly valuable. Has knowledge and experience of managing AI features and models through their complete life-cycle - from conducting structured experimentation to deploying in production to maintaining their efficacy in production. Ability to break down ambiguous problems, prioritize with clear frameworks, and drive rapid, iterative execution. Data-driven decision-making with a bias for action and customer obsession. Exceptional communication skills able to align Design, Engineering, GTM, and Leadership around a clear product strategy. Bonus Points Experience with CX, AI Agents, Chatbots, Knowledge management, or customer service automation domains. Hands-on understanding of LLMs, prompt engineering, and practical tradeoffs in real-world AI applications.