Solution Engineer

As a Solution Engineer, you’ll be at the forefront between our technology and our customers’ toughest challenges.

You’ll partner closely with customer executives and domain experts to uncover their most critical decision challenges — from optimizing supply chains and reducing risk exposure to detecting fraud or forecasting demand. You’ll scope and design intelligent data and decision applications that apply RelationalAI’s reasoning technology to these problems, becoming a trusted technical advisor who helps organizations reason about their operations in innovative ways.

Your job is part architect, part engineer, part consultant — and fully owner.

You’ll engage directly with technical and business leaders to model their world and bring reasoning and intelligence into their data workflows.

You’ll help customers apply our platform’s decision intelligence framework to their unique data and logic — combining repeatable patterns with creative problem solving to drive measurable impact. You’ll learn fast, think deeply, and shape how the world experiences decision intelligence.

Solution Engineers at RelationalAI are technical entrepreneurs in the field — hands-on, customer-embedded technologists who own outcomes end-to-end, from concept to production.

• Design and build decision solutions using RelationalAI’s modeling, reasoning, and learning capabilities
• Lead technical discovery and design with customers — run workshops, demos, and proofs-of-concept to translate complex problems into executable models.
• Own end-to-end delivery — from scoping and implementation to optimization and success metrics
• Collaborate across teams — partner with Product, Engineering, and GTM to ensure customer insights drive our roadmap.
• Educate and enable — create reusable assets, deliver hands-on training, and mentor peers on modeling best practices.
• Drive technical excellence — identify performance bottlenecks, improve scalability, and ensure production-grade reliability.

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

You embody the traits that define our team:

• Self-Driven: You take initiative, seek clarity, and follow through with excellence — without waiting for instructions.
• Rigorous Thinker: You go beyond surface symptoms, explore systems deeply, challenge assumptions, and refine your thinking through collaboration.
• Impact-Driven: You’re motivated by purpose — building technology that redefines how organizations think, decide, and act.
• Adaptive: You embrace change, move with urgency, and find energy in solving problems that evolve quickly.
• Ownership Mindset: You take full accountability for outcomes, not just tasks — acting as a founder of every engagement you lead.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
• 5+ years of software engineering or technical consulting experience
• 3+ years in solution engineering, pre-sales, or data application delivery roles
• Strong knowledge of relational databases, SQL, and cloud data platforms (e.g., Snowflake, BigQuery, Redshift)
• Experience with programming or scripting (Python, Julia, Shell, etc.) for integrations and prototypes
• Proven ability to translate complex technical ideas into clear business value
• Comfortable operating in high-autonomy, high-velocity environments
  

• Experience building analytical, decision, or reasoning applications in production
• Familiarity with rule-based, optimization and/or predictive systems
• Understanding of semantic modeling, data pipelines, and governance best practices
• Prior experience in enterprise technology, AI, or analytics platforms