Product Manager
Cleo · Remote - USA · 2026-05-22
About this role
<h2>About the Role</h2> <p>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.</p> <h2>What You Will Be Doing</h2> <ul> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>Conduct structured buy / build / partner analysis for new AI capabilities, including evaluation of foundation model providers, third-party AI vendors, and open-source alternatives.</li> <li>Scope and prioritize activities based on business and customer impact, balancing near-term wins with longer-horizon AI investments.</li> <li>Drive product launches in collaboration with marketing, PR, executives, and other PM team members — including positioning AI capabilities clearly and avoiding overpromising.</li> <li>Evaluate promotional plans to ensure messaging accurately conveys AI capabilities and limitations, and is consistent with the broader product line strategy.</li> <li>Act as an AI product evangelist — both internally and externally — to build awareness, understanding, and trust in our AI capabilities.</li> <li>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.</li> </ul> <h2>Your Qualifications</h2> <h3>Required</h3> <ul> <li>BS/MS degree in Computer Science, Engineering, Data Science, or equivalent practical experience.</li> <li>3–5 years of proven product management experience, with at least 1–2 years owning AI/ML-powered product features in a SaaS environment.</li> <li>Proven track record of managing all aspects of a successful product throughout its lifecycle — from discovery through launch and iteration.</li> <li>Demonstrated ability to develop product and AI strategies and effectively communicate recommendations to executive leadership.</li> <li>Solid technical background with hands-on understanding of software development, modern AI/ML technologies (LLMs, embeddings, classical ML), and SaaS architectures.</li> <li>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.</li> <li>Strong written, verbal, presentation, and communication skills — especially the ability to explain AI concepts to non-technical audiences.</li> <li>A passion for usability, user empathy, and a knack for simplicity — particularly in designing AI experiences that build user trust.</li> <li>Strong problem-solving skills and willingness to roll up your sleeves to get the job done.</li> <li>Skilled at working effectively with cross-functional teams in a matrix organization.</li> </ul> <h3>Preferred</h3> <ul> <li>Hands-on experience shipping LLM-based product features, RAG architectures, fine-tuned models, or agentic AI applications.</li> <li>Familiarity with AI governance frameworks, model explainability, evaluation harnesses, and responsible AI practices.</li> <li>Experience defining prompt engineering standards, eval pipelines, or human-in-the-loop workflows for AI products.</li> <li>Exposure to MLOps tooling and lifecycle (model training, deployment, monitoring, drift detection).</li> </ul> <h3>Travel</h3> <ul> <li>Travel expectation of approximately 10–15% to meet with customers, partners, and team members.</li> </ul> <h2>Why Join Us</h2> <ul> <li>Shape the AI strategy and roadmap of a fast-growing company at a defining moment in the AI industry.</li> <li>High-visibility role with direct exposure to executive leadership and top customers.</li> <li>Work with a talented, cross-functional team of engineers, data scientists, and designers building the future of intelligent software.</li> <li>$130,000 to $150,000 base salary + annual bonus opportunity</li> </ul><div class="content-conclusion"><p><em>We use artificial intelligence (AI) tools to assist in certain stages of our recruitment process, such as resume…
Skills asked for
- data science
- go
- llm
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