Solutions Engineer

Posted 19 Days Ago
Hiring Remotely in USA
Remote
3-5 Years Experience
Big Data • Machine Learning • Software • Analytics
The Role
The Solutions Engineer role at Tellius involves bringing technical expertise throughout the sales process, including pre-sales activities, technical demonstrations, and post-sales project delivery. The role requires strong communication skills, analytical abilities, and knowledge of AI-powered automation and big data technologies. The ideal candidate should have 3-5 years of experience in software engineering or technical pre-sales, with a background in business intelligence or predictive analytics solutions. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred.
Summary Generated by Built In

Tellius enables organizations to get faster insights from their data using AI-powered automation. Any user can ask any question across billions of records via a Google-like interface, understand “why” metrics change via automated insights that surface hidden key drivers and trends, and get predictive recommendations — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc and exploratory data analysis, root-cause/trend insights and anomaly detection, and business-friendly advanced analytics.

THE ROLE

The mission for the Solutions Engineer role is to bring technical expertise throughout the Tellius sales process. This includes engaging at the start of the sales process with technical discovery through a technical Proof of Concept through closing the deal. In addition, this role will play a key part of post-sales project delivery as needed.

Responsibilities:

  • Serve as the primary client-facing technical resource during sales cycles. Eliminate technical objections and build rapport during every interaction
  • Deliver in-depth technical product demos to prospects at all levels within an organization
  • Design relevant POV use cases, gain mutual agreement on success criteria, and translate technical success into meaningful business case
  • Design architectural overviews for existing and potential customers
  • Deliver post-sales engagements successfully on time, while managing scope creep, enhancing customer relationships, and improving account health
  • Research and document the offerings of competitors, and position Tellius’ differentiation in a clear and compelling manner

QUALIFICATIONS

  • 3-5 years of experience in software engineering/technical pre-sales, selling Business intelligence (BI) or predictive analytics solutions 
  • Experience with big data technologies, data modeling, and some knowledge of machine learning – R/Python, SQL or Spark
  • World-class analytical and troubleshooting skills
  • Strong communication skills and polished presentation skills 
  • Degree in Computer Science, Mathematics, Statistics or related field 

PERSONAL CHARACTERISTICS

  • Impeccable follow through: never drops the ball and communicates proactively when timelines need to be pushed
  • Thoughtful *and* fast: Understands that speed is a competitive advantage and always strives to hit their goals 10x faster than expected.
  • Data-driven: knows what metrics matter and can analyze them
  • Hustles: Creative ability to get deals closed against all odds
  • Customer obsessed: laser focused on providing value

Top Skills

Python
R
Spark
SQL
The Company
HQ: Reston, VA
68 Employees
On-site Workplace
Year Founded: 2016

What We Do

Tellius is leading the era of decision intelligence with a guided insights platform powered by machine learning so anyone can uncover the 'what' and the 'why' in the data. Created by a team with deep expertise in big data analytics and automated intelligence, Tellius accelerates data-driven insight and decision making for many industries such as pharmaceuticals, financial services, consumer goods, and high technology, and across many departments such as sales, marketing, and operations. Founded in 2016, Tellius is Series A funded, fast growing startup headquartered in Reston, Virginia, with additional locations in San Francisco, California, and Bangalore, India.

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