Senior Partner Solution Architect (PreSales)

Job Description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. The Role Elastic, the Search AI company, is looking for a Partner Solutions Architect to lead technical strategy and enablement for our ecosystem in Singapore. This is a hands-on PreSales builder role . You are the bridge between strategy and implementation, responsible for ensuring our partners are not only articulating Elastic’s value but are technically capable of architecting, building, and validating complex solutions. You will lead "deep-dive" technical labs and guide partners through the most challenging phases of technical validation. Your Impact Strategic Leadership: Own Technical Engagement Plans (TEPs) for focus partners, establishing long-term technical roadmaps at the CTO and Practice Lead level. Technical Validation & Co-Innovation: Guide partners through high-stakes Technical Validation cycles , ensuring Elastic solutions are built to best-practice standards. Deep-Dive Enablement: Lead "one-to-many" technical "Build-a-thons" and hands-on laboratory sessions that empower partner engineers to lead their own implementations. Trusted Advisor: Build deep relationships with partner pre-sales teams to guide them through the "how-to" of complex Search AI, Observability, and Security architectures at the configuration level. Reference Architectures: Collaborate on "design wins" by developing repeatable technical blueprints. What You Bring Direct, hands-on experience with the Elastic Stack (ELK) or similar distributed search/analytics technologies (e.g., OpenSearch, Solr, Splunk, Datadog). 8+ years of experience in technical / PreSales roles. Proven ability to design and build technical prototypes , ingest complex datasets, and optimize search/indexing performance. Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (Terraform) on AWS, Azure, or GCP. 3+ years in a partner-facing role, with a focus on building technical practices and enabling third-party

Required Skills