Solutions Engineer, Tellius

• 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
• 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

• 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
• 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

• Full Health Benefits
• Vision
• Dental
• Vacation
• Equity
• Continual career & compensation growth

Total funding: $33.3m

The scale of data gathered and consumed by companies is continuing to grow at an astounding pace, but the ability of businesses to derive insights from this information has not kept up. Limited by the pace of traditional methods of business intelligence reporting and the complexity of new AI tools used by data teams, companies struggle to populate business intelligence dashboards accurately, let alone understand what changes in the underlying data might mean.