Offer summary

Qualifications:

3-5 years of experience in software engineering or technical pre-sales, particularly in Business Intelligence or predictive analytics solutions., Familiarity with big data technologies, data modeling, and knowledge of machine learning tools such as R/Python, SQL, or Spark., Strong analytical, troubleshooting, and communication skills, along with polished presentation abilities., A degree in Computer Science, Mathematics, Statistics, or a related field..

Key responsabilities:

Act as the primary technical resource for clients during the sales process, addressing technical objections and building rapport.

Deliver detailed technical product demonstrations to prospects across various organizational levels.

Design and agree on relevant proof of value use cases, translating technical success into business cases.

Manage post-sales engagements, ensuring timely delivery while enhancing customer relationships and account health.

Job description

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

Note: This role is only open to candidates currently residing in and authorized to work in the United States.

Required profile