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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
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Present and position Splunk solutions through customer meetings, demos, webinars, and industry events.
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Discover customer needs and design tailored technical solutions aligned to business goals.
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Lead technical evaluations, Po Cs/Po Vs, and guide customers through solution validation.
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Respond to RFPs/RFIs and partner with sales to deliver customer-centric proposals.
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Continuously learn and adapt new tools and best practices.
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Collaborate with marketing and cross-functional teams to deliver successful outcomes.
Minimum Qualifications
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8+ years of experience in presales or technical sales within a software vendor environment.
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Strong customer discovery skills and ability to translate business needs into technical solutions.
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Solid experience supporting technical evaluations, demos, and proof-of-value engagements.
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Strong background in crafting technical responses to RFIs/RFPs, showcasing reliability and technical acuity.
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Technical knowledge of observability/APM solutions and major cloud platforms (AWS, GCP, Azure); familiarity with SAP.
Preferred Qualifications
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Growth mindset with ability to learn new technologies in fast-changing environments.
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Strong analytical and problem-solving skills with ability to work independently.
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Team-oriented mindset and strong collaboration with sales and engineering partners.
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Confident presenter with excellent communication and stakeholder management skills.
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Willingness to travel and engage customers across industries and regions.
Technical Literacy
Core Technical Minimum Qualifications
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Strong foundation in observability (MELT), Open Telemetry, and APM concepts.
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Working knowledge of APM internals and runtime instrumentation (Java, .NET, Node.js, Python).
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Deep understanding of cloud-native and Kubernetes-based architectures and monitoring.
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Experience with distributed systems, microservices, and common failure patterns.
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Solid understanding of SAP architectures (ECC, S/4HANA), transaction monitoring, and SAP to non-SAP integrations.
Preferred Technical Qualifications
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Experience managing large-scale, multi-region observability platforms.
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Exposure to AI/ML use cases in observability (anomaly detection, alert noise reduction).
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Familiarity with SRE practices, SLIs/SLOs, and incident response processes.
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Knowledge of eBPF or zero-instrumentation monitoring approaches.
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Contributions to open source, technical publications, or relevant certifications (Otel, cloud, SAP).
국가보훈대상자는 관련 법령에 따라 우대합니다.
Qualified veterans and eligible dependents will be given hiring preference in accordance with applicable laws.
Why Cisco?
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.
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About Cisco

Cisco
PublicCisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.
10,001+
Employees
Seoul
Headquarters
$317B
Valuation
Reviews
3.4
3 reviews
Work Life Balance
2.0
Compensation
3.0
Culture
2.5
Career
2.5
Management
2.0
25%
Recommend to a Friend
Pros
Respectable company reputation
Good for resume/interviews
Recognized brand name
Cons
Poor communication/ghosting candidates
Work-life balance concerns
Overwork culture
Salary Ranges
0 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$70,294
total / year
Base
$28,118
Stock
$35,147
Bonus
$7,029
$49,206
$91,382
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Phone Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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