Snowflake · AI infrastructure
EMEA Solution Engineering Manager - Observability
- London, +2 more: Munich, Paris
- Full-time
Still open on Snowflake's site · checked just now
- Level
- Lead or manager
- Experience
- 8+ years
- Posted
What you'll do
As written by Snowflake · Read the original
Cross-Functional Collaboration
Work closely with Product, Engineering, Customer Success, and Professional Services to ensure seamless handoffs and customer outcomes
Collaborate with Marketing on field events, webinars, and thought leadership content specific to observability
Partner with Snowflake core presales teams to identify cross-sell and upsell opportunities where observability complements existing Snowflake deployments
Align with enablement teams to ensure the SE organization is trained on new features, integrations, and use cases
Requirements
Required
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.
Preferred
Direct experience with observability platforms such as Datadog, Splunk, Dynatrace, New Relic, Grafana, or
Strong, direct experience with modern AI solutions, especially the ones related to observability and monitoring
Background in running proof-of-value / proof-of-concept programs at scale
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
Skills
Stack
- SQL
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.