Principal AI Ecosystem Architect - Openai/anthropic

Elastic Elastic · Enterprise · United States · SA - Partner SA - AMER

This role focuses on building technical integrations and driving strategy with major AI providers (OpenAI, Anthropic) to position Elastic's search and data platform as a retrieval layer for AI agents. The individual will own technical relationships, build prototypes, influence product roadmaps, and create go-to-market content.

What you'd actually do

  1. Driving the co-build strategy with Elastic's Product team — identifying and prioritizing the integrations that deepen both partnerships and ensuring Elastic's retrieval, security, and observability capabilities are integrated in how OpenAI and Anthropic build for the enterprise.
  2. Serving as Elastic's technical voice inside both ecosystems — working closely with partner and product teams at OpenAI and Anthropic so that Elasticsearch's role in agentic workflows is well understood and well represented.
  3. Building reference architectures and working prototypes that demonstrate Elasticsearch as the retrieval layer for agentic AI — giving developers building with OpenAI and Anthropic platforms a clear path to grounded, governed context.
  4. Working with Elastic's Security and Observability product teams to drive integration patterns and showcases that demonstrate how frontier AI enhances Elastic's capabilities.
  5. Influencing Elastic's product roadmap with the technical signal you gather inside both ecosystems — what partner teams are building, what customers are asking for, and where the gaps are.

Skills

Required

  • 7+ years in technical presales, partner engineering, solutions architecture, product management
  • Proven experience owning technical relationships with strategic AI or platform partners
  • Hands-on experience building prototypes and integration demos
  • A track record of influencing product roadmaps and partner priorities
  • Strong communication across audiences

Nice to have

  • Direct experience working with OpenAI and/or Anthropic in a technical capacity, including familiarity with their partner programs and how both ecosystems make integration decisions.
  • 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.

What the JD emphasized

  • own the technical strategy
  • own the technical relationships end-to-end
  • deep integrations
  • influence the most consequential decisions
  • technical depth
  • building things yourself
  • co-build strategy
  • deepen both partnerships
  • agentic workflows
  • grounded, governed context
  • technical signal you gather
  • partner teams are building
  • customers are asking for
  • technical and strategic relationships
  • named point of contact
  • partner teams reach for
  • executive-level cadence
  • internal teams — product, engineering, field, and alliances — connected
  • co-authoring joint solution briefs, technical guides, and co-branded content
  • representing Elastic at AI-focused partner events, meetups, developer conferences, technical summits, and community forums
  • hands-on depth to land with a practitioner audience
  • translate integrations into enablement
  • Proven experience owning technical relationships with strategic AI or platform partners
  • serving as the named technical point of contact
  • Hands-on experience building prototypes and integration demos
  • track record of influencing product roadmaps and partner priorities
  • Direct experience working with OpenAI and/or Anthropic in a technical capacity
  • familiarity with their partner programs
  • how both ecosystems make integration decisions
  • 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.

Other signals

  • Driving co-build strategy with Elastic's Product team
  • Serving as Elastic's technical voice inside both ecosystems
  • Building reference architectures and working prototypes
  • Influencing Elastic's product roadmap