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) 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, optimization and/or predictive systems Understanding of semantic modeling, data pipelines, and governance best practices Prior experience in enterprise technology, AI, or analytics platforms The Solution Engineer position offers a base salary range of $170,000 to $230,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location. 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 people from 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. Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here . California residents applying for positions at RelationalAI can see our Privacy Policy here RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.