Senior Solutions Engineer, Observe
Snowflake is hiring a Senior Solutions Engineer, Observe for a remote role open to applicants in United States. It pays $165k-$217k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include solutions engineering, observability and technical sales.
- Level classifies it as a senior role.
- Level lists 354 other open roles at Snowflake.
AI in this role
Drive technical sales closures and proof-of-concept evaluations for Observe by Snowflake's observability platform.
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 is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data.
As a Senior Solutions Engineer for Observe, you will play a critical, highly-visible, role within our organization, serving as the primary technical resource for our Sales team. You will be responsible for driving the technical closure of sales opportunities by demonstrating the value of Observe to prospective customers. This role requires a blend of deep technical knowledge, strong presentation skills, and a customer-focused approach.
KEY RESPONSIBILITIES:
Technical Discovery and Presentation: Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs.
Proof of Concepts (POCs): Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. Document findings and present clear, persuasive results back to the customer.
Sales Team Support: Partner closely with Account Executives to develop and execute technical sales strategies. Act as the technical subject matter expert throughout the sales cycle, from initial contact to final contract.
Feedback and Product Collaboration: Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape.
Content and Training: Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. Deliver technical training to the broader Sales organization.
Travel: Ability to travel to client sites and industry events as required.
QUALIFICATIONS :
Required
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of experience as a Sales Engineer or Solutions Architect in the software industry.
Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack).
Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP).
Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Preferred
Experience selling to Developer, DevOps, and Site Reliability Engineering (SRE) personas.
Prior experience in a fast-paced, high-growth Observability or Application Performance Monitoring (APM) company.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
The application window is expected to be open until September 22, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date.
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
How we rate this
Senior Solutions Engineer, Observe at Snowflake rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where solutions engineering was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where technical sales was part of your work. What did you do?
- Tell me about a project where proof of concept was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Solutions Engineering, Observability, Technical Sales, and Proof Of Concept. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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