The Solutions Engineer supports the sales process with technical expertise, engaging in product demos and post-sales project delivery while managing client 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
Information Technology • Productivity • Professional Services • Software
The Senior Solutions Engineer will provide technical expertise in pre-sales situations, conduct presentations, design customized solutions, and lead technical discussions to enhance the ServiceNow platform's value for customers.
Top Skills:
Application DevelopmentAutomation HubCloud EngineeringInfrastructureIntegration HubServicenow
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manage and lead GM's environmental compliance strategy, support regulatory initiatives, develop corporate guidance, and collaborate with stakeholders to enhance environmental programs.
Top Skills:
Environmental ComplianceEnvironmental PermittingGlobal Enterprise Environmental Management System
Artificial Intelligence
As a Senior AI Controls Solutions Engineer, you'll operationalize Phaidra's AI solutions for enterprise data center customers, collaborating with teams to model facilities and define product requirements, applying deep knowledge of control systems and AI technologies.
Top Skills:
AIBacnetData Center Cooling ControlHvacModbusPlcPythonReinforcement Learning
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
