Senior Consultant - NLP

Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co.

You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats.  This is a critical role, as a Senior Technology Consultant, you have an amazing chance to make an immediate impact on the success of Elastic and our customers. 

What You Will Be Doing:

• Deliver Elastic solutions to drive customer business value from our products
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Strong customer advocacy, relationship building, and communications skills
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers’ most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions, and product defects
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

What You Bring Along:

• Hands-on experience and an understanding of Elasticsearch (ELK) is required 
• Recent working experience within Natural Language Processing (NLP)
• Minimum of 2 years’ experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritize, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• Ability to travel up to 25% of the time
• Understanding of Linux, Java and databases

Bonus Points:

• Deep understanding of Elasticsearch, including Elastic Certified Engineer certification
• NLP experience is required  
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

The typical starting Total Cash Compensation range for transfers in the US in this role is between $125,200.00 - $179,050.00, which consists of a Base Salary or a Base Salary plus a Target Commission, depending on the specific role. The Base Salary offered may vary depending on factors including skills and experience. 

Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  

The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. 

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.  

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or