Product Manager

Product Manager Remote - USA About the Role We are looking for an experienced AI Product Manager who is passionate about building intelligent products customers love. You will join a dynamic, fast-paced environment and work with cross-functional teams - engineering, data science, design, and go-to-market - to design, build, and launch AI-powered products that deliver our company's vision and strategy. This role sits at the intersection of applied AI/ML, customer outcomes, and business strategy: you'll define what we build, why we build it, and how we measure success in a rapidly evolving AI landscape. What You Will Be Doing Own the AI product roadmap - including LLM-powered features, predictive models, agentic workflows, and ML-driven automation - translating customer needs into a prioritized, outcome-driven plan. Develop a deep understanding of customer experience, identify product gaps where AI can deliver disproportionate value, and generate new ideas that grow market share, improve customer experience, and drive growth. Partner closely with data scientists, ML engineers, and software engineers to scope models, evaluate tradeoffs between accuracy, latency, cost, and UX, and ship with quick time-to-market and optimal resources. Translate product strategy into detailed requirements and prototypes, including user stories, MVP scope, acceptance criteria, model evaluation criteria, and KPI frameworks tied to measurable customer outcomes. Define and monitor AI feature success metrics - including model performance (precision, recall, accuracy), user adoption, and business impact - through dashboards and regular reporting to executive leadership. Conduct structured buy / build / partner analysis for new AI capabilities, including evaluation of foundation model providers, third-party AI vendors, and open-source alternatives. Scope and prioritize activities based on business and customer impact, balancing near‑term wins with longer‑horizon AI investments. Drive product launches in collaboration with marketing, PR, executives, and other PM team members - including positioning AI capabilities clearly and avoiding overpromising. Evaluate promotional plans to ensure messaging accurately conveys AI capabilities and limitations, and is consistent with the broader product line strategy. Act as an AI product evangelist - both internally and externally - to build awareness, understanding, and trust in our AI capabilities. Represent the company by visiting customers to solicit feedback on AI features, observe real‑world use, and surface opportunities for the next wave of intelligent product capabilities. Your Qualifications Required BS/MS degree in Computer Science, Engineering, Data Science, or equivalent practical experience. 3-5 years of proven product management experience, with at least 1-2 years owning AI/ML-powered product features in a SaaS environment. Proven track record of managing all aspects of a successful product throughout its lifecycle - from discovery through launch and iteration. Demonstrated ability to develop product and AI strategies and effectively communicate recommendations to executive leadership. Solid technical background with hands‑on understanding of software development, modern AI/ML technologies (LLMs, embeddings, classical ML), and SaaS architectures. Ability to read and interpret ML model outputs, understand evaluation metrics (precision/recall, AUROC, RMSE, F1, eval sets for LLMs), and hold technical teams accountable to model quality. Strong written, verbal, presentation, and communication skills - especially the ability to explain AI concepts to non‑technical audiences. A passion for usability, user empathy, and a knack for simplicity - particularly in designing AI experiences that build user trust. Strong problem‑solving skills and willingness to roll up your sleeves to get the job done. Skilled at working effectively with cross‑functional teams in a matrix organization. Preferred Hands‑on experience shipping LLM‑based product features, RAG architectures, fine‑tuned models, or agentic AI applications. Familiarity with AI governance frameworks, model explainability, evaluation harnesses, and responsible AI practices. Experience defining prompt engineering standards, eval pipelines, or human‑in‑the‑loop workflows for AI products. Exposure to MLOps tooling and lifecycle (model training, deployment, monitoring, drift detection). Travel Travel expectation of approximately 10-15% to meet with customers, partners, and team members. Why Join Us Shape the AI strategy and roadmap of a fast‑growing company at a defining moment in the AI industry. High‑visibility role with direct exposure to executive leadership and top customers. Work with a talented, cross‑functional team of engineers, data scientists, and designers building the future of intelligent software. $130,00 #J-18808-Ljbffr Cleo