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Solutions Engineer

Tellius

Role overview

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

Responsibilities

  • Serve as the primary client-facing technical resource during sales cycles.
  • 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.
  • Deliver post-sales engagements successfully on time, while managing scope creep, enhancing customer relationships, and improving account health.

About the company

Tellius logo

Tellius

Data Analytics & Business Intelligence

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 B funded, fast growing startup headquartered in Reston, Virginia, with additional locations in San Francisco, California, and Bangalore, India.

Company details

Company typeScaleup
IndustryData Analytics & Business Intelligence
Company size51 - 200

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Job description

Tellius is a fast-growing AI analytics company headquartered in Reston, Virginia. We are transforming how enterprises interact with their data — moving beyond dashboards and static reports to an always-on, agentic intelligence platform that investigates, reasons, and delivers finished answers autonomously.

Our platform, powered by Kaiya — Tellius's AI agent — connects to all your enterprise data, automatically investigates what changed and why, and delivers board-ready briefings, memos, and presentations before you even ask. We serve some of the world's most innovative companies, including Novo Nordisk, PepsiCo, Regeneron, AbbVie, and Biogen — helping their teams go from question to decision in minutes, not days.

We are recognized as a Visionary in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, and we're just getting started. Our team is built for people who thrive on solving hard problems, moving fast, and building things that matter at enterprise scale.

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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