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Elastic

Searches enterprise data and monitors systems

Principal AI Ecosystem Architect - OpenAI, Anthropic

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeWashington, USA$184.2k - $291.4k

About the Job

Requirements

  • At least 7 years of experience in technical presales, partner engineering, solutions architecture, or product management.
  • Proven experience owning technical relationships with strategic AI or platform partners as the named technical point of contact.
  • Hands-on experience building prototypes and integration demos to validate ideas alongside partner and Product teams before they become roadmap commitments.
  • A track record of influencing product roadmaps and partner priorities.
  • Willingness to travel 30% to partner offices, events, and conferences.

Responsibilities

  • Drive the co-build strategy with Elastic's Product team by identifying and prioritizing integrations that deepen both partnerships and ensure Elastic's retrieval, security, and observability capabilities are integrated into how OpenAI and Anthropic build for the enterprise.
  • Serve as Elastic's technical voice inside both ecosystems, working closely with partner and product teams at OpenAI and Anthropic so Elasticsearch's role in agentic workflows is understood and represented.
  • Build reference architectures and working prototypes that demonstrate Elasticsearch as the retrieval layer for agentic AI, giving developers building with OpenAI and Anthropic platforms a path to grounded, governed context.
  • Work with Elastic's Security and Observability product teams to drive integration patterns and showcases that demonstrate how frontier AI enhances Elastic's capabilities.
  • Influence Elastic's product roadmap with technical signals gathered inside both ecosystems, including partner-team activity, customer requests, and integration gaps.
  • Own the technical and strategic relationships with partner-facing counterparts at OpenAI and Anthropic.
  • Serve as Elastic's named point of contact inside both ecosystems and at Elastic for partner teams seeking to understand how Elastic fits, what is possible, and what comes next.
  • Build and manage a regular executive-level cadence to align on progress, priorities, and investment focus.
  • Keep Elastic's internal product, engineering, field, and alliances teams connected to developments in both partner ecosystems, and vice versa.
  • Co-author joint solution briefs, technical guides, and co-branded content that explain the joint value to customers.
  • Represent Elastic at AI-focused partner events, meetups, developer conferences, technical summits, and community forums, bringing hands-on depth to practitioner audiences.
  • Work with Elastic marketing teams to translate integrations into enablement for the field and customers.

Desired Qualifications

  • Direct technical experience working with OpenAI and/or Anthropic, including familiarity with their partner programs and integration decision-making.
  • Technical depth in at least one of Elastic's core solution areas: context engineering for AI agents, AI-powered security operations, or AI-powered observability; fluency across all three is a differentiator.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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