EMEA Solution Engineering Manager - Observability
Snowflake · GB-London
- Location
- GB-London
- Employment
- Full time
- Level
- Manager
- Posted
- 20 October
About this role
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.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We are hiring an EMEA Solution Engineering Manager to lead a team of Solution Engineers focused on the Observability domain. You will coach a high-performing pre-sales team, partner closely with Sales leadership, and help customers across EMEA adopt the Snowflake AI Data Cloud to unify and analyze their observability data at scale.
AS AN EMEA SOLUTION ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL:
Lead, hire, and develop a team of Solution Engineers supporting EMEA observability opportunities, setting a high bar for technical pre-sales excellence.
Partner with Regional Sales Directors to build and execute territory strategy, aligning technical resources to the highest-value opportunities.
Coach your team to deliver compelling demonstrations and proofs of concept that showcase Snowflake's ability to ingest, store, and query high-volume observability data such as logs, metrics, and traces.
Guide customers in migrating observability workloads onto the Snowflake AI Data Cloud, using Snowpark, Streamlit, and Cortex for advanced analytics on telemetry data.
Serve as an escalation point for complex technical discovery, architecture design, and competitive positioning against legacy observability platforms.
Collaborate with Product and Engineering teams to channel field feedback into the Snowflake observability roadmap.
Represent Snowflake at EMEA field events, executive briefings, and industry conferences as a trusted technical leader.
OUR IDEAL EMEA SOLUTION ENGINEERING MANAGER WILL HAVE:
8+ years of experience in solution engineering, sales engineering, or technical pre-sales, with experience in data platforms, cloud, or observability technologies.
2+ years of experience leading or mentoring technical teams in a pre-sales or customer-facing capacity.
Strong understanding of observability concepts, including logs, metrics, traces, and the modern monitoring landscape.
Hands-on experience with cloud data platforms and SQL, with the ability to speak credibly to both practitioners and executives.
Experience selling or implementing technical solutions to enterprise customers across EMEA.
Excellent communication and stakeholder management skills, with fluency in English.
Ability to travel across the EMEA region as needed.
BONUS POINTS FOR THE FOLLOWING:
Familiarity with the Snowflake AI Data Cloud, Snowpark, Streamlit, or Cortex.
Experience with leading observability tools such as Datadog, Splunk, Grafana, or Elastic.
Background in migrating large-scale telemetry or machine data workloads to a cloud platform.
Additional European language skills.[ List ]
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.
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
As published by Snowflake. Applications are handled on their site.
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01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
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