Solution Engineer

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

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.

What You’ll Do

• 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

  
  

Who You Are (The Intrinsics)

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.

  
  

Qualifications

• 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

  
  

Preferred Qualifications

• Experience building analytical, decision, or reasoning applications in production

• Familiarity with rule-based, optimisation and/or predictive systems

• Understanding of semantic modeling, data pipelines, and governance best practices

• Prior experience in enterprise technology, AI, or analytics platforms

Why RelationalAI

At RelationalAI, you will:

• Work from anywhere in the world

• Earn competitive salary + equity

• Enjoy open PTO, flexible schedules, and recharge weeks

• Access global benefits, mental-health support, and learning stipends

• Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact

• Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.

• A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.