Principal AI Ecosystem Architect - OpenAI/Anthropic

Role details

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. What is The Role Elastic is expanding the Ecosystem Architects team focused on the most consequential AI providers in the AI Ecosystem — OpenAI and Anthropic. We are looking for a builder, an architect who will own the technical strategy and relationships with both. In this hands-on individual contributor role you'd be driving the co-build strategy through deeper integrations with both ecosystems, influencing Elastic Product strategy, building the prototypes, and shaping the GTM content that would help customers bring frontier intelligence to unstructured data. As the AI Ecosystem Architect you will build, manage and own the technical relationships end-to-end — bringing both technical depth and the credibility that comes from having built things yourself. "The deep integrations with OpenAI and Anthropic are at the center of how Elastic thinks Frontier AI will shape enterprises when brought to unstructured enterprise data. Elasticsearch is purpose-built to solve the retrieval problem for AI agents, and the person in this role will influence the most consequential decisions in how Elastic technology integrates with these ecosystems." — Global VP, Head of Business & Corporate Development, Elastic What You Will Be Doing You will drive technical integration, shape product strategy, and co-create the go-to-market content that helps customers put these partnerships to work. You will be BUILDING 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. 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. 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. Working with Elastic's Security and Observability product teams to drive integration patterns and showcases that demonstrate how frontier AI enhances Elastic's capabilities. 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. LEADING Owning the technical and strategic relationships with partner-facing counterparts at OpenAI and Anthropic. Being Elastic's named point of contact inside both ecosystems and at Elastic — the person that partner teams reach for when they want to understand how Elastic fits, what's possible, and what's next. Building and managing a regular executive-level cadence to align on progress, priorities, and where investment should be focused. Keeping Elastic's internal teams — product, engineering, field, and alliances — connected to what's happening inside both partner ecosystems, and vice versa. EVANGELIZING Co-authoring joint solution briefs, technical guides, and co-branded content that help customers see the joint value clearly. Representing Elastic at AI-focused partner events, meetups, developer conferences, technical summits, and community forums — bringing the hands-on depth to land with a practitioner audience. Working with Elastic marketing teams to translate integrations into enablement that the field can use and customers can act on. What You Bring 7+ years in technical presales, partner engineering, solutions architecture, product management. 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 — to validate ideas alongside partner and Product teams before they become roadmap commitments. A track record of influencing product roadmaps and partner priorities. Strong communication across audiences — equally effective presenting at a developer conference and working through an architecture question with a partner engineer. Willingness to travel 30% to partner offices, events, and conferences. Bonus Points 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. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be b