The Solutions Engineer will engage in technical discovery during the sales process, deliver demos, design use cases, and manage post-sales delivery while building customer relationships.
Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, 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.
Top Skills
Python
R
Spark
SQL
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
As a Senior Solutions Engineer, you'll manage technical sales for Cloudflare, build customer relationships, and ensure user success with the platform.
Top Skills:
BashCloudflareJavaScriptPython
Information Technology • Productivity • Professional Services • Software
The Solutions Engineer will provide technical expertise in Datadog, collaborate with the sales team, design solutions, conduct presentations, and help customers maximize the value of their Datadog platform.
Top Skills:
Application DevelopmentCloud EngineeringDatadogSdlc
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
As a Federal Solutions Engineer, you will act as a technical advisor to federal customers, conducting demos and supporting compliance efforts, while collaborating closely with the sales engineering team.
Top Skills:
Cloud SecurityCmmcCybersecurityEndpoint SecurityNist 800-53SIEMThreat IntelligenceVulnerability Management
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
