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How much do director elastic engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for director elastic engineer in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What is a Director Elastic Engineer?

Director Elastic Engineers are senior technology leaders who oversee the design, implementation, and management of scalable search and data analytics solutions using Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats). They guide engineering teams, set architectural standards, and ensure the reliability and performance of Elastic-based systems. Their role often involves collaborating with stakeholders to align technology initiatives with business goals, managing budgets and resources, and staying current with the latest Elastic Stack advancements.

What are the key skills and qualifications needed to thrive as a Director Elastic Engineer?

To thrive as a Director Elastic Engineer, you need deep expertise in Elasticsearch architecture, distributed systems, and large-scale data management, usually supported by a degree in computer science or a related field. Familiarity with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), cloud platforms, and relevant certifications such as Elastic Certified Engineer are highly beneficial. Strategic leadership, problem-solving, and effective communication are vital soft skills for driving high-performing teams and collaborating across departments. These capabilities are crucial to ensure robust, scalable search solutions and to align engineering initiatives with organizational goals.

What are the typical challenges faced by a Director Elastic Engineer when leading large-scale search infrastructure projects?

A Director Elastic Engineer often manages complex deployments of Elasticsearch clusters that support high-availability and real-time data processing. Common challenges include ensuring system scalability, optimizing performance under heavy loads, and maintaining data security across distributed environments. Additionally, the role requires effective coordination with cross-functional teams such as DevOps, data engineering, and product management to align technical solutions with business objectives. Staying current with the rapidly evolving Elastic stack and fostering team knowledge-sharing are also key aspects of this leadership position.

What is the difference between Director Elastic Engineer vs Elastic Engineer?

AspectDirector Elastic EngineerElastic Engineer
CredentialsTypically requires advanced degrees and leadership experienceRequires technical certifications and hands-on Elastic Stack expertise
Work EnvironmentLeads teams, manages projects, and sets strategic goalsFocuses on implementing, configuring, and maintaining Elastic Stack solutions
Industry UsageUsed in organizations for strategic oversight of Elastic solutionsUsed by technical teams for deployment and optimization

The main difference is that a Director Elastic Engineer oversees Elastic projects and teams, focusing on strategy and management, while an Elastic Engineer handles the technical implementation and maintenance of Elastic Stack solutions.

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Director Elastic Engineer jobs near you
Infographic showing various Director Elastic Engineer job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Principal AI Ecosystem Architect - OpenAI/Anthropic

San Francisco, CA

Elastic
See more jobs at Elasticexternal

Full-time

Re-posted 27 days ago

Job description

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.

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