Salary
💰 $200,000 - $280,000 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformGrafanaJavaKubernetesPythonSparkSplunkSQL
About the role
- Partner with the sales team in pre-sales engagements to design and present solutions for Imply Lumi addressing observability, SIEM, and adjacent analytics use cases.
- Leverage deep expertise in Splunk and familiarity with related tools such as Cribl, Grafana, and Elastic to ensure seamless integration into customer environments.
- Lead technical discovery, proof-of-concept, and pilot deployments, ensuring smooth onboarding, measurable value delivery, and alignment with customer business objectives.
- Provide advanced troubleshooting during pre-sales and early adoption phases to build customer trust and ensure long-term success.
- Serve as a trusted advisor by identifying optimization opportunities, uncovering additional use cases, and sharing best practices for managing observability and security data at scale.
- Collaborate with product management and engineering to share customer feedback, address solution gaps, and influence the Lumi roadmap to improve product-market fit.
- Help achieve revenue targets set by the company and support expansion opportunities.
- Keep opportunity information up-to-date in Salesforce and other tools in partnership with the Sales team.
Requirements
- 3+ years of experience with observability, SIEM, or analytics platforms, including customer-facing work in pre-sales and/or early adoption phases.
- Strong knowledge of observability architectures, log and metrics pipelines, and related tools, with strong Splunk knowledge and familiarity with complementary technologies such as Cribl, Grafana, or Elastic preferred.
- Hands-on experience designing and deploying solutions in at least one cloud platform (AWS, GCP, or Azure), along with working knowledge of SQL, SPL, and a programming language such as Python or Java.
- Demonstrated ability to proactively lead deep discovery, identify opportunities, and deliver enterprise solutions that integrate into existing observability stacks while addressing customer challenges and delivering measurable value.
- Detail-oriented with strong ownership, accountability, and communication skills, able to explain complex concepts clearly to both technical and non-technical audiences and collaborate effectively with diverse teams.
- Background in bringing new or emerging products to market, including guiding early customer adoption and shaping product fit.
- Bonus: Experience with large-scale log and metrics data storage, compression, and query optimization.
- Bonus: Familiarity with security analytics, incident response workflows, compliance-related data requirements, and containerized deployments using technologies such as Kubernetes and Helm.
- Bonus: Familiarity with structured sales methodologies such as MEDDIC to support effective pre-sales engagement and value-based selling.
- Bonus: Passion for mentoring team members and contributing to a culture of technical excellence and customer success.