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Tellius

Cloud-based decision intelligence with ML analytics

Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Three to five years of experience in software engineering or technical pre-sales, selling business intelligence or predictive analytics solutions.
  • Experience with big data technologies and data modeling, plus some knowledge of machine learning using R, Python, SQL, or Spark.
  • Strong analytical and troubleshooting skills.
  • Strong communication and presentation skills.
  • A degree in Computer Science, Mathematics, Statistics, or a related field is required.
  • Candidates must currently reside in and be authorized to work in the United States.

Responsibilities

  • Serve as the primary client-facing technical resource during sales cycles, addressing technical objections and building rapport in each interaction.
  • Deliver in-depth technical product demonstrations to prospects at all organizational levels.
  • Design relevant proof-of-value use cases, agree on success criteria with customers, and translate technical success into a meaningful business case.
  • Design architectural overviews for existing and potential customers.
  • Deliver post-sales engagements on time, manage scope changes, enhance customer relationships, and improve account health.
  • Research and document competitor offerings and clearly position Tellius's differentiation.

About the Company

Tellius

Cloud-based decision intelligence with ML analytics

Tellius provides a decision intelligence platform that helps businesses analyze large data sets, visualize findings, and use automated machine learning to make predictions. The product works by letting users connect data to a cloud-based SaaS platform, explore it through interactive dashboards and visuals, and run AutoML models to generate predictive insights without needing a team of data scientists. Tellius differentiates itself by combining data exploration, visualization, and automated modeling in a single enterprise-focused platform, enabling non-technical users to uncover insights and act on them at scale for large organizations. Its goal is to help companies optimize operations, improve customer experiences, and grow revenue by making data-driven decisions.

Company size
51-200
Company stage
Series B
Total funding
$33.3M
Headquarters
Herndon, VA
Founded
2016

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