Product Manager, AI

Lucid Software is the leader in AI-driven work acceleration, helping teams see and build the future by turning ideas into reality.  Its products include the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. The Lucid Visual Collaboration Suite, combined with powerful accelerators for cloud and process transformation, empowers organizations to streamline work, foster alignment, and drive business transformation at scale. We hold true to our core values: innovation in everything we do, passion & excellence in every area, individual empowerment, initiative and ownership, and teamwork over ego. At Lucid, we value diverse perspectives and are dedicated to creating an environment and culture that is respectful and inclusive for everyone. Lucid is a hybrid workplace. We promote a healthy work-life balance by allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team.

We are looking for a Product Manager to help us take our products to the next level by leveraging cutting-edge Artificial Intelligence. Are you a natural leader and a great teammate? Do you have a passion for elegant solutions, user experiences, and the massive potential of Generative AI? Are you drawn to work that is different every single day? If this is you, let’s talk!

This PM will join a team focused on innovation and new product discovery, particularly in the area of emerging technology and AI. You will be joining a vibrant team of PM’s that work on a variety of projects including bringing Lucid’s Collaborative AI products, agentic workflows, and canvas-native generative features to market; rapid prototyping and derisking for new, visual-first experiences; and continuing to build out the underlying innovative technical AI platform that makes it all possible. On that team, you’ll lead our AI platform and evaluation in partnership with our AI leadership group.

Responsibilities:

• Partner with product teams to identify, test, and de-risk new AI capabilities, rapidly validating customer value through prototypes, experiments, and iterative learning.
• Help shape how Lucid builds AI products by improving our product development process, evaluation strategy, and experimentation practices to support fast, high-confidence decision making.
• Stay at the forefront of modern AI, agentic systems, and developer tooling, bringing new technologies and approaches into product strategy where they create meaningful customer value.
• Develop deep customer expertise by understanding how people think, collaborate, and solve problems visually, then translate those insights into AI experiences that feel natural, useful, and trustworthy.
• Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering, Design, Data Science, and Product teams to deliver scalable foundations that enable innovation across the organization.

Requirements:

• 4+ years of product management experience building successful B2B SaaS products, with a track record of leading complex, cross-functional initiatives from concept through launch.
• Experience bringing agentic AI products and capabilities to market, operating in fast-moving, ambiguous environments where customer needs, models, and technology evolve rapidly.
• Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and cost.
• Exceptional product judgment, with the ability to identify emerging technology opportunities, prioritize customer problems, and influence technical and business stakeholders across the organization.
• Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and Go-to-Market teams to deliver high-impact customer experiences.

Preferred Qualifications:

• Direct experience leading innovation or new product discovery teams, especially in the areas of rapid learning, AI iteration, and derisking non-deterministic features
• Experience with visual collaboration, spatial computing, or digital whiteboarding platforms
• Experience mentoring other PMs on AI product lifecycle best practices

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