Staff AI Solutions Product Manager

FDE Times; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Snowflake is seeking a Staff Applied AI Product Manager to lead the product vision and execution for AI solutions and services within the Data Cloud. You will own the end-to-end lifecycle, from discovery and requirements to hands-on development, launch, and metrics analysis to drive impact.

You will work across customers, the forward-deployed engineering team, core engineering, and GTM to shape scalable, high-value AI offerings, balancing ambition with practical delivery in a fast-moving,

Qualifications

• 5+ years of experience in product management, with a track record of shipping enterprise software or cloud services.
• Proven ability to define product strategy and translate into actionable roadmaps.
• Experience leading cross-functional teams including engineers, data scientists, and architects.
• Strong customer empathy and experience working with enterprise customers to understand needs.

Responsibilities

• Own the Product Vision & Roadmap: define a clear strategy for large-scale AI solutions across the Snowflake platform.
• Lead a cross-functional pod of engineers, data scientists, and solution architects to execution and market readiness.
• Be the Voice of the Customer: engage with users and executives to gather insights and validate hypotheses.
• Commercialize Innovation: distill bespoke solutions into scalable, repeatable platform features.
• Shape Business Strategy: partner with Snowflake leadership and customer teams to align product strategy with high-stakes goals.

Skills

Product strategy

Cross-functional leadership

Executive communication

Customer empathy

Education

Bachelor's degree in CS/Engineering

MBA or advanced degree

Tools

LLMs

Vector databases

Data science workflows

AI paradigms

Job description

Snowflake is seeking a Staff Applied AI Product Manager to lead the product vision and execution for AI solutions and services within the Data Cloud. You will own the end-to-end lifecycle, from discovery and requirements to hands-on development, launch, and metrics analysis to drive impact.

You will work across customers, the forward-deployed engineering team, core engineering, and GTM to shape scalable, high-value AI offerings, balancing ambition with practical delivery in a fast-moving,