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 Partner Solutions Architect (PSA) multiplies Elastic's technical reach through partners. You will work with a defined portfolio of managed partners, each with an agreed technical engagement plan, and be measured on outputs, partner sourced deals, committed engagement plans and published assets.
Responsibilities
Drive growth with and through partners
- Generate approved partner deal registrations, jointly owned with Partner Managers for your territory.
- Run partner-tailored sales playbooks on registered deals: qualify the deal shape, support intake and technical scoping, and help partners attach their own services, lifting average deal size.
- Accelerate partner-led opportunities, hands-on labs and proofs of concept, in collaboration with account AEs and SAs.
- Stay current on competitive dynamics and market trends, equipping partners with sharp "Why Elastic" positioning over competing vendors.
Architect of leverage
- Own the technical relationships and named champions at each partner in your portfolio; build trusted advisor status with senior technical stakeholders.
- Create, commit and maintain a Technical Engagement Plan per focus partner, the technical section of the Joint Business Plan, and run quarterly read-outs with the partner, Partner Manager and other stakeholders.
- Deliver enablement and certification roadmaps, accreditations & certifications, that move partners up a defined technical maturity model.
- Lead hands-on technical lab workshops across Elastic products, building partner technical confidence and solution fluency.
Co-innovate on repeatable solutions
- Co-architect solution blueprints and reference architectures with partners, including hyperscalers.
- Build reusable demos, sales cards and battlecards partners can run without Elastic in the room; co-publish reference win stories and joint blog posts.
- Author customer-facing content including white papers, blogs, and sales collateral, informed by market trends and deep relationships with partner technical leaders.
- Support technical deployments of Elastic in partner labs, demonstration environments, and testing grounds.
Requirements
- 8+ years in technology solutions, practice development, architecture, consulting and/or cloud/infrastructure technologies.
- 3+ years of pre-sales experience in the software sector, ideally partner-facing: channel, alliances, SI/GSI or MSSP ecosystems.
- A one-to-many mindset: you would rather teach ten engineers to run the demo than run it ten times yourself, and you can show where your enablement turned into someone else's win.
- Working knowledge of security operations (SIEM, endpoint, 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.
- Commercial fluency: you can read a deal, discuss services scope and margin with a partner, and translate technical capability into the business case their customer buys.
- Excellent communication and presentation skills for technical and non-technical audiences.
- Comfort with ambiguity and a self-starter's bias to action; you inspire partner teams to work on what is most relevant, not just what is urgent.
- Demonstrated ability to stay focused and deliver results amid ambiguity, distractions, and competing priorities.
- Comfortable operating both collaboratively across partner and cross-functional teams and independently to execute a plan and deliver results.
- Skilled at leading through influence, aligning partners and internal stakeholders around shared priorities and goals.
- Technical experience and depth in at least one Elastic solution area required (AI agents & Search, security operations, or observability); cross-domain fluency across all three is a differentiator.
- Must be able to travel primarily across the LATAM region to partner offices, events, and conferences, with occasional travel outside the region; approximately 40% travel expected.
- Fluent in English, Spanish, and Portuguese across written, verbal, and presentation contexts.
Nice to Have
- Meaningful, demonstrable, experience with AI/ML technologies, including exposure to LLMs, embeddings, vector search, or agentic AI frameworks.
- Proficiency in at least one scripting or programming language (Python, Bash, or similar) for automation, integration, or demonstration purposes.
- Prior experience in a technical training, instruction, or curriculum development capacity is a plus.
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 minimum of 16 weeks of parental leave.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/elastic/jobs/8080862