Sr. Product Manager, AI
L
Lucid SoftwareVisual Collaboration
Lucid is a hybrid workplace, 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.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- Artificial IntelligenceProduct ManagementCross-functional Team Leadership
Requirements
- 4+ years of product management experience building successful B2B SaaS products.
- Track record of leading complex, cross-functional initiatives from concept through launch.
- Experience bringing agentic AI products and capabilities to market.
- Experience operating in fast-moving, ambiguous environments.
- Strong understanding of modern AI systems, including agent architectures and tool use.
- Knowledge of retrieval-augmented generation (RAG).
- Understanding of AI evaluations and tradeoffs between quality, latency, reliability, and cost.
- Exceptional product judgment to identify emerging opportunities and prioritize customer problems.
- Ability to 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.
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.
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