Meet the Team

Join our team as an Observability Solutions Architect and play a key role in helping customers make data-driven decisions. You’ll lead the technical evaluation stage of the sales process, acting as a trusted advisor to customers, partners, and sales teams while representing Splunk’s observability solutions.

Your Impact

Present and position Splunk solutions through customer meetings, demos, webinars, and industry events.

Discover customer needs and design tailored technical solutions aligned to business goals.

Lead technical evaluations, PoCs/PoVs, and guide customers through solution validation.

Respond to RFPs/RFIs and partner with sales to deliver customer-centric proposals.

Continuously learn and adapt new tools and best practices.

Collaborate with marketing and cross-functional teams to deliver successful outcomes.

Minimum Qualifications

8+ years of experience in presales or technical sales within a software vendor environment.

Strong customer discovery skills and ability to translate business needs into technical solutions.

Solid experience supporting technical evaluations, demos, and proof-of-value engagements.

Strong background in crafting technical responses to RFIs/RFPs, showcasing reliability and technical acuity.

Technical knowledge of observability/APM solutions and major cloud platforms (AWS, GCP, Azure); familiarity with SAP.

Preferred Qualifications

Growth mindset with ability to learn new technologies in fast-changing environments.

Strong analytical and problem-solving skills with ability to work independently.

Team-oriented mindset and strong collaboration with sales and engineering partners.

Confident presenter with excellent communication and stakeholder management skills.

Willingness to travel and engage customers across industries and regions.

Technical Literacy

Core Technical Minimum Qualifications

Strong foundation in observability (MELT), OpenTelemetry, and APM concepts.

Working knowledge of APM internals and runtime instrumentation (Java, .NET, Node.js, Python).

Deep understanding of cloud-native and Kubernetes-based architectures and monitoring.

Experience with distributed systems, microservices, and common failure patterns.

Solid understanding of SAP architectures (ECC, S/4HANA), transaction monitoring, and SAP to non-SAP integrations.

Preferred Technical Qualifications

Experience managing large-scale, multi-region observability platforms.

Exposure to AI/ML use cases in observability (anomaly detection, alert noise reduction).

Familiarity with SRE practices, SLIs/SLOs, and incident response processes.

Knowledge of eBPF or zero-instrumentation monitoring approaches.

Contributions to open source, technical publications, or relevant certifications (Otel, cloud, SAP).

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you.