Staff Product Manager - AI FDE
Leads the vision, roadmap, and lifecycle of enterprise AI solutions at the intersection of customers, forward-deployed engineering, core engineering, and go-to-market teams. The role requires 8+ years of product management experience, strong technical fluency in modern AI, and enterprise customer leadership.
About the job
Responsibilities
- Define and own the product vision, strategy, and roadmap for large-scale AI solutions and services.
- Own the end-to-end product lifecycle, including discovery, requirements, development, launch, and metrics analysis.
- Lead a cross-functional pod of engineers, data scientists, and solution architects.
- Partner with design, marketing, sales, engineering, and go-to-market teams to deliver products.
- Engage enterprise customers and executives to understand needs, validate hypotheses, and ensure solutions address high-value problems.
- Distill bespoke customer solutions into scalable, repeatable products, converting one-off deployments into platform features.
- Collaborate with Snowflake and customer leadership on product and business strategy.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 8+ years of product management experience.
- Track record of shipping successful enterprise software or cloud services.
- Deep technical fluency for leading architectural discussions with senior engineers.
- Hands-on experience with data science workflows and modern AI paradigms, including LLMs, vector databases, and agentic workflows.
- Ability to develop product strategy and translate it into an actionable roadmap.
- Strong customer empathy and experience working directly with enterprise customers.
- Exceptional executive presence and communication skills.
- Passion for building exceptional products and a strong execution mindset.
Nice to Haves
- MBA or advanced degree.
- Experience building and launching products for developers or data scientists.
- Familiarity with the Snowflake platform and Data Cloud ecosystem.
- Management consulting experience.
- Experience in high-growth, ambiguous environments.
- Experience supporting professional services or forward-deployed engineering teams.
Skills
Product Management, Artificial Intelligence, Machine Learning, LLMs, Vector Databases, Agentic Workflows, Data Science, Enterprise Software, Cloud Services, Product Strategy, Product Roadmap, Snowflake Data Cloud
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