Job Overview
Job description
- Location:
- GB-London, United Kingdom
- Work arrangement:
- On-site
Role Summary
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Observe by Snowflake brings AI-native observability to the Snowflake AI Data Cloud helping engineering and data teams debug, optimize, and understand systems operating at massive scale.
Modern systems don’t break at GB/day they break at TB/day. Traditional, index-based observability tools weren’t built for this world. Observe by Snowflake unifies telemetry and business data, applies AI to connect context automatically, and reduces time to resolution from hours to minutes.
We’re entering the next phase of growth: scaling to $1B in the next 5 years. We’ve moved successfully upmarket into complex enterprise deals, larger ACVs, and strategic customer relationships.
This is a high-impact role for a seller who wants to operate at the intersection of AI, data infrastructure, and modern engineering and help define a new category.
WHY THIS ROLE IS DIFFERENT
- You’re not selling dashboards you’re changing core enterprise processes with huge ROI
- Observe is a high-growth business unit within Snowflake, benefiting from significant scale while preserving a fast-moving, builder-oriented culture.
- The problem is real: data volume explosion, broken context across tools, and slower developer productivity
- The deals are big, complex, and visible with meaningful upside and impact
- The company is working: world-class retention, high growth, and increasing enterprise traction
Responsibilities
- Own full-cycle enterprise sales, from self-sourced pipeline through close
- Build and convert pipeline in a high-velocity, high-ACV environment (now ~$400K+ enterprise deals)
- Lead technical, consultative conversations around AI-driven observability and data strategy
- Sell into engineering, SRE, and data leaders solving problems at TB-scale
- Drive $500K plus land-and-expand motions with multi-million dollar growth potential
- Work cross-functionally with Snowflake teams to capitalize on the massive opportunity within the Snowflake ecosystem
- Stay committed to growth: learn fast, apply quickly, adapt constantly.
- How do you want to make your impact?
- For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
Requirements
WHAT MAKES YOU SUCCESSFUL
- You can create your own pipeline and consistently convert it
- You’ve sold complex, technical products (observability, infrastructure, data, or adjacent)
- You’re comfortable leading with architecture, not just features
- You bring intensity: high energy, fast processing, and clear communication
- You have strong sales intuition (MEDDICC or similar) and a track record of outperforming peers
- You’re resilient you’ve succeeded in ambiguous or early-stage environments
WHAT WE LOOK FOR
- Domain familiarity in observability, infrastructure, or data platforms
- Technical curiosity and ability to engage deeply with engineers
- Evidence of excellence: top performer, quota overachievement, promotions
- Persistence, competitiveness, and ownership mentality
- Growth mindset you’re still getting better every quarter
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
About the Company
ABOUT THE AI PRODUCTS TEAM
The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.
This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.
Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.
AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL
WHY JOIN THIS TEAM
This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.
- Role:
- Enterprise Account Executive - Observability
- Job Type:
- FullTime
Company profile
Snowflake
snowflake.comSnowflake provides the AI Data Cloud, a fully managed platform for AI, data engineering, applications and analytics that helps organizations unite siloed data and share it securely. Customers use it to ingest, process, analyze and model data and to build and share data and AI applications, including through Snowflake Marketplace. Thousands of organizations around the world rely on Snowflake, which is led by CEO Sridhar Ramaswamy and headquartered in San Mateo, California.
- Company Size
- 5,000 - 10,000 employees
- Headquarters
- San Mateo, California, United States
- Founded
- 2012
- Founders
- Benoît Dageville
- Funding Stage
- Public
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