Senior Partner Solutions Architect
Elastic · Posted Sep 25
Search, observability, security, and analytics platform services
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About the role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale, bringing together the precision of search and the intelligence of AI across search, security, and observability. The Partner Solutions Architect is the technical force multiplier of Elastic's partner ecosystem, building the technical capacity of system integrators, resellers, MSSPs and cloud providers so they can source pipeline, win deals and deliver Elastic independently. This pre-sales role carries a partner-sourced pipeline target and focuses on driving growth through partners, acting as an architect of leverage, and co-innovating on repeatable solutions across the India region.
What you will do
- 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.
- 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 — workshops, hands-on labs, accreditations, certifications — that move partners up a defined technical maturity model, from first knowledge to fully autonomous, market-leading practices.
- Co-architect solution blueprints and reference architectures with partners, and distributors or MSPs.
- Back partner-built solutions on Elastic — vertical, sovereign and managed offerings that extend our product surface beyond what Elastic builds itself.
- Build reusable demos, sales cards and battlecards partners can run without Elastic in the room; co-publish reference win stories and joint blog posts. Everything lands in a central repository for reuse across the ecosystem.
Skills used in this role
What the employer is looking for
- 8+ years in technology solutions, practice development, architecture or consulting in the following technological domain (Security, Observability, AI).
- 3+ years of pre-sales experience, ideally partner-facing: channel, alliances, SI/GSI or MSSP ecosystems.
- Practitioners in the following domain looking to move to a customer-facing role are encouraged to apply: (Security Analysts, SRE, DevSecOps, Developers, Search&AI practitioners)
- 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 (logging, tracing, infrastructure monitoring) — nice to have: an understanding of AI and semantic search technologies (RAG, vector search, NLP).
- Professional experience architecting or operating solutions on AWS, Google Cloud or Microsoft Azure.
- Commercial fluency: you can read a deal, talk 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 — a partner engineer in the morning, an architect in the afternoon, an executive sponsor in the evening.
- 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.
- Ability to travel up to 30%, as this role requires coverage across the India region.
Preferred qualifications
- nice to have: an understanding of AI and semantic search technologies (RAG, vector search, NLP)
Benefits and support
- 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
About Elastic
Elastic is a search AI company that builds self-managed and SaaS offerings for search, logging, security, observability, and analytics. Powered by the Elasticsearch platform, the company helps thousands of organizations worldwide transform massive volumes of data into actionable insights and real-time answers. Its modern search solutions are widely integrated across enterprise tech ecosystems to support advanced AI applications and automated security workloads.
- Industry
- Software
- Company size
- 5001-10000 employees
- Founded
- 2012
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $162M raised
- 2012-11-01Series A$10M
- 2013-03-01Series B$24M
- 2014-06-05Series C$70M
Leadership
Chief Executive Officer
Founder and Chief Technology Officer
Chief Financial Officer
Recent coverage
Business Wire
Elastic N.V. Announces Organizational Restructuring and Leadership Changes2026-06-25
Business Wire
Elastic Names Navam Welihinda Chief Financial Officer2025-02-27
Elastic Investor Relations
Elastic Reports Strong Fourth Quarter and Fiscal 2025 Financial Results2025-06-04