• Work closely with customers, product partners, and team members to understand workflows, clarify requirements, and translate needs into well-scoped technical deliverables. • Build applied AI capabilities across high-value enterprise workflows such as automation, document intelligence, decision support, fraud intelligence, and intelligent assistants. • Implement components of context-aware AI systems that integrate prompts, tools, APIs, retrieval patterns, and business logic using established architecture patterns. • Contribute to reusable engineering building blocks, services, and platform capabilities that can support multiple enterprise workflows rather than one-off solutions. • Identify when existing agents, models, APIs, or platform capabilities can be reused and contribute to practical build vs. reuse recommendations. • Stay current on practical AI engineering patterns and bring forward ideas that improve quality, speed, or customer value. • Design and develop software and improve existing code • Write unit-tests and validate your software against acceptance criteria • Apply team coding, documenting and testing standards • Conduct impact analysis to proactively identify impact of a change within an application • Participate in code reviews and communicate application changes • Document code and projects so others can easily understand, maintain and support • Debug the problems which arise in production and propose effective solutions • Read and write design documents • Learn the business process domain to better support the business • Contribute to team's sprint commitments and actively participate in our Agile practices • Contribute to continuous learning activities to improve design and code quality as well as to increase application domain knowledge • Guide and aid less experienced software engineers

• Own the internal systems that let Rootstock engineers ship production Salesforce code fast and ship it correct • Extend and deepen autonomous coding pipelines • Own root-cause engine and evaluations • Maintain foundational architectural decision records • Build TDD tooling that changes behavior • Decide on the next generation of quality and safety hooks

• You design and build the agents, tools, and AI-native interactions that turn a complex ERP into something that feels like it's working for the user • Agents with real authority over real workflows • Typed, intent-routed tools over MCP • A composable, AI-first UI • The evaluation harness behind all of it

Role Description 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. We are prioritizing candidates in the San Francisco Bay Area, and Seattle, WA. 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 - 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. Qualifications - 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 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: - $184,200 — $291,400 USD The typical starting salary range for this role in the select locations listed above is: - $184,200 — $291,400 USD Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Embracing parenthood with a minimum of 16 weeks of parental leave.