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Elastic

Searches enterprise data and monitors systems

Partner Solutions Architect - Public Sector

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeFlorida, USA$74.7k - $118.1k

About the Job

Requirements

  • At least 2 years of experience in technology solutions, practice development, architecture, consulting, and/or cloud or infrastructure technologies.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
  • At least 1 year of presales experience in the software sector, ideally partner-facing in channel, alliances, SI/GSI, or MSSP ecosystems in the US Public Sector.
  • Working knowledge of security operations (SIEM, endpoint, or cloud security) and/or observability, plus an understanding of AI and semantic search technologies.
  • Professional experience architecting or operating solutions on AWS, Google Cloud, or Microsoft Azure.
  • Ability to read a deal, discuss services scope and margin with a partner, and translate technical capability into the business case their customer buys.
  • Ability to lead through influence and align partners and internal stakeholders around shared priorities and goals.
  • Ability to travel to partner offices, events, and conferences; approximately 30% travel is expected.
  • Must be located in or within reasonable commuting distance of the Florida Panhandle, such as Pensacola, or be willing to immediately relocate.

Responsibilities

  • Generate approved partner deal registrations jointly with Partner Managers for the territory.
  • Run partner-tailored sales playbooks on registered deals by qualifying deal shape, supporting intake and technical scoping, and helping partners attach their services to increase average deal size.
  • Accelerate partner-led opportunities, hands-on labs, and proofs of concept in collaboration with account executives and solutions architects.
  • Stay current on competitive dynamics and market trends and equip partners with positioning for Elastic against competing vendors.
  • Own technical relationships and named champions across the partner portfolio and build trusted-advisor status with senior technical stakeholders.
  • Create, commit to, and maintain a Technical Engagement Plan for each focus partner, maintain the technical section of the Joint Business Plan, and run quarterly readouts with partners, Partner Managers, and other stakeholders.
  • Deliver enablement and certification roadmaps, accreditations, and certifications to advance partners through a defined technical maturity model.
  • Lead hands-on technical lab workshops across Elastic products to build partner technical confidence and solution fluency.
  • Co-architect solution blueprints and reference architectures with partners, including hyperscalers.
  • Build reusable demos, sales cards, and battlecards that partners can use independently; co-publish reference win stories and joint blog posts.
  • Author customer-facing white papers, blogs, and sales collateral informed by market trends and relationships with partner technical leaders.
  • Support technical deployments of Elastic in partner labs, demonstration environments, and testing grounds.

Desired Qualifications

  • Technical experience in at least one Elastic solution area (AI agents and search, security operations, or observability); cross-domain fluency across all three is a differentiator.
  • Meaningful, demonstrable experience with AI/ML technologies, including exposure to large language models, embeddings, vector search, or agentic AI frameworks.
  • Proficiency in at least one scripting or programming language, such as Python or Bash, for automation, integration, or demonstration purposes.
  • Prior experience in technical training, instruction, or curriculum development.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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