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Full-Time

Senior Solutions Architect

Search

Updated on 9/11/2024

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$129k - $182kAnnually

+ Stock Program

Expert

Remote in USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Communications
Data Structures & Algorithms
Natural Language Processing (NLP)
Requirements
  • 10+ years of experience in designing and architecting enterprise-level search solutions.
  • Deep understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP.
  • Familiarity with emerging ecosystem technologies and how they interoperate like Hugging Face, Langchain, etc.
  • Solid knowledge of ELSER's architecture and other models within the Hugging Face ecosystem.
  • Experience with vector databases and other emerging data storage solutions.
  • Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think of it like this, “ You may be speaking to a developer in the morning, an architect in the afternoon and an executive buyer in the evening.”
  • Collaborative spirit and a passion for sharing knowledge and expertise.
  • Unwavering commitment to continuous learning and staying ahead of the curve in technology and emerging trends.
Responsibilities
  • Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies.
  • Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data retrieval processes, leveraging the capabilities of the Elastic Learned Sparse Encoder.
  • Unlock the potential of vector search: Implement powerful vector search algorithms and create high-dimensional vector representations of data, allowing users to find the information they need even with imprecise queries.
  • Deliver compelling proof-of-concept (POC) projects: Showcase the combined value of AI, semantic search, vector search, and ELSER through successful POCs, demonstrating the potential for improved search relevance, user experience, and decision-making.
  • Become a thought leader and evangelize our vision: Share your expertise through presentations, blog posts, and other channels, positioning Elastic as the leader in AI-powered search and semantic data exploration.
  • Foster collaboration and knowledge sharing: Cultivate a collaborative environment within the Solutions Architecture team and across departments, promoting knowledge sharing and driving continuous improvement.
  • Stay ahead of the curve: Continuously learn and explore the ever-evolving landscapes of AI, semantic search, vector search, and related technologies, ensuring your solutions are always at the forefront of innovation.

Elastic offers search-powered solutions that enable businesses to search, analyze, and visualize data in real-time. Its primary product, Elasticsearch, is a versatile search engine that can be deployed in the cloud or on-premises, helping organizations manage large data volumes effectively. Unlike its competitors, Elastic provides flexible deployment options and additional services like consulting and training, all under a subscription-based model. The company's goal is to empower organizations to leverage their data for better decision-making and operational efficiency.

Company Stage

IPO

Total Funding

$269.6M

Headquarters

Mountain View, California

Founded

2012

Growth & Insights
Headcount

6 month growth

4%

1 year growth

13%

2 year growth

21%
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Simplify's Take

What believers are saying

  • Elastic's recent launch of Playground and Search AI Lake demonstrates its commitment to innovation and staying ahead in the AI and data analytics space.
  • Recognition with the 2024 EMA Allstars award for AI-assisted observability highlights Elastic's industry leadership and potential for continued growth.
  • Strategic acquisitions, like that of Elastic Agency by IVE Group, expand Elastic's market reach and service offerings, enhancing its competitive edge.

What critics are saying

  • The competitive SaaS market requires Elastic to continuously innovate to maintain its market position and avoid being overshadowed by larger players.
  • Integration challenges from acquisitions, such as that of Elastic Agency, could pose risks to operational efficiency and company culture.

What makes Elastic unique

  • Elastic's flagship product, Elasticsearch, offers unparalleled real-time search and data analysis capabilities, setting it apart from competitors in the SaaS market.
  • The company's diverse deployment options, including Elastic Cloud and Elastic On-Prem, provide flexibility that caters to a wide range of client needs.
  • Elastic's focus on security analytics and business analytics, combined with its robust subscription-based model, ensures a steady revenue stream and high client retention.

Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving