Partner Solution Architect (pre-sales)

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 Elastics 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 the ANZ region. This is a hands-on builder role. You are the bridge between strategy and implementation responsible for ensuring our partners are not only articulating Elastics 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 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 engineering teams.
• The ability to translate deep technical capabilities into scalable partner-led solutions.