Jobs at Snowflake

The Senior Solution Engineer at Snowflake will solve complex customer problems, deliver demos, support Proof of Concepts, and close business deals while collaborating with sales and technical teams.

The RVP, Priority Support Engineering at Snowflake leads paid support offerings, manages customer relationships, drives revenue, and operates AI-natively to enhance customer support and engagement, while building and scaling the team.

As an Applied Scientist, you will analyze customer data to optimize feature use and improve financial operations, engage with cross-functional teams, and build analytical models for benchmarking and insights.

Provide legal support for commercial transactions, negotiate agreements, advise senior leaders, manage risk, and streamline contracting processes in a fast-paced environment.

The role involves leading customer discussions on AI strategy, designing scalable AI solutions, and supporting enterprise Proof of Concepts. The engineer will translate technical concepts into business outcomes while navigating sales dynamics.

As a Partner Development Manager, you'll manage Financial Services partnerships, create strategic plans, and drive the adoption of Snowflake's Financial Services products.

As an Account Executive, you will build customer relationships, close new business, and provide ongoing technical guidance for Snowflake solutions.

The Account Executive will prospect, develop, and close new business opportunities, focus on customer acquisition, and collaborate with cross-functional teams to achieve sales objectives.

As an Enterprise Account Executive, you'll drive sales of the Observe platform, qualify prospects, and collaborate with cross-functional teams to achieve sales quotas.

The Cloud Partner Solutions Engineer drives partner success by managing cloud integration strategies, leading joint GTM plans, and executing co-sell initiatives across AWS, Azure, and GCP, ensuring measurable value and customer outcomes.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.