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Lead / Manager

Director, Customer Engineering

Confirmed live in the last 24 hours

Elastic

Elastic

Virginia, United States
On-site
Posted April 1, 2026

Job Description

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

We are on the hunt for a Director of Customer Engineering for the Eastern United States to steer the direction for our customer architect team. At Elastic, our solutions are tailored to provide Observability, Cybersecurity, and Search AI, and we need a leader who is technically adept and can drive our teams to ensure our customers derive the most value from our offerings.

In this leadership position, the ideal candidate is a unique blend of a people-focused, business-driven, and technically-savvy leader. You will directly lead all aspects of a high performing team of Customer Architects. Having an intimate understanding of our technical solutions is crucial to empathize with your team's challenges and derive strategic solutions.

The Director of Customer Engineering plays a pivotal role in representing Elastic at the forefront. Given the intrinsic technical nature of our offerings, it's crucial for the Director to be proficient in the intricacies of our solutions, ensuring they can effectively communicate their value and drive consumption.

This role requires frequent face-to-face engagements, making it essential for the candidate to excel at in-person presentations, discussions, and building strong relationships rooted in technical trust. With the need to partner with a wide array of customers, travel becomes inherent to this role. Candidates should be primed for 25% travel, geared towards promoting and amplifying the consumption of our Elastic solutions across the Americas.

What you will be doing

  • Leadership: Lead and mentor Customer Architects, encouraging a culture of collaboration, innovation, and customer-centricity.
  • Technical Acumen: Serve as the technical pillar of leadership, ensuring that the region's strategies align with the technical nuances of our solutions. A background in sales engineering leadership is beneficial.
  • Strategic Planning: Employ both urgent and strategic approaches to address critical situations, instilling processes that address challenges at scale. Ensure that teams in the region are geared towards helping customers realize value and driving consumption.
  • Market Knowledge: Leverage your experience with distributed datastores, and areas such as observability, cybersecurity, or search to bring depth to the team's understanding of the market. Experience in Vectors, Machine Learning, and GenAI will be an added advantage.
  • Collaboration: Work in tandem with regional sales leaders, account teams, and other stakeholders to ensure seamless communication and alignment of objectives.

What you will bring

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field highly preferred.
  • Proven experience leading teams centered on consumption.
  • Technical expertise in distributed datastores, and areas like observability, cybersecurity, or search. Familiarity with Elastic solutions will be a significant advantage.
  • Familiarity or experience in the realms of Vectors, Machine Learning, and GenAI.
  • Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to a varied audience.
  • Ability to balance urgency with strategic planning, ensuring teams are always aligned with company and customer objectives.

 

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE).  On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).  

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