Senior Delivery Manager
Elastic
| Company | Elastic |
| Category | Operations & Admin |
| Location | United States |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 13 Jul 2026 |
| Last verified | 6 Aug 2026 |
| Source | Employer ATS (greenhouse) |
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
As part of Elastic's Professional Services team, the Senior Delivery Manager plays a critical role in leading the end-to-end delivery of complex, high-value Elastic services engagements across global customers. This is a customer-facing position responsible for ensuring successful delivery outcomes, revenue growth, and customer satisfaction.
You will work with organizations ranging from Fortune 100 companies to startups, government agencies, and nonprofits solving some of the world's most complex search, observability, and cybersecurity challenges. The Senior Delivery Manager ensures projects are executed effectively, customer relationships are nurtured, and Elastic's methodologies and best practices are consistently applied — including the integration of AI-driven tools and workflows that are increasingly central to how enterprise teams operate.
What You Will Be Doing
Leading the delivery of Elastic services engagements from initiation through closure, including governance, risk management, communications, and reporting.
Applying Elastic's Outcome-Based Delivery Methodology to drive customer value and measurable outcomes.
Coordinating across Elastic consultants, architects, sellers, third-party partners, and customer stakeholders to align on scope, execution, and success criteria.
Managing multiple concurrent projects and accounts with effective time management, prioritization, and expectation setting.
Facilitating Steering Committees, executive-level meetings, and project governance to maintain transparency and alignment.
Partnering with Customer Success and Account Executives to support renewals, expansion opportunities, and long-term customer adoption.
Coaching and mentoring project team members, including sub-stream leads and consultants, to ensure high-quality delivery.
Contributing to Elastic's delivery methodology, internal knowledge base, and industry perspectives to support continuous improvement.
Identifying and advocating for AI-powered solutions and automation opportunities within customer engagements, advising on how Elastic's AI/ML capabilities can accelerate time-to-value.
Leveraging AI tools (e.g., generative AI assistants, AI-powered project management, LLM-based analytics) to improve delivery efficiency, reporting quality, and team productivity.
Traveling regionally or globally (25%–65%) depending on customer needs.
What You Bring
8+ years of experience leading consulting or professional services delivery in enterprise environments.
Proven track record of delivering large-scale, multi-stakeholder projects with measurable business outcomes.
Strong organizational skills, with experience in governance frameworks, risk mitigation, and structured delivery methodologies.
Ability to operate effectively in complex, matrixed organizations and across cultural/geographic boundaries.
Excellent communication skills, with the ability to convey technical and delivery details to executive and technical audiences alike.
Experience managing high-pressure or at-risk accounts and driving successful recovery strategies.
Hands-on familiarity with IT solutions; experience in search, analytics, observability, security, or distributed systems a plus.
Demonstrated understanding of AI/ML concepts and how they apply to enterprise use