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.
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.
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
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 ApplyIf 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.
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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.
Top Skills
What We Do
Knowledge Graphs without Compromises
At RelationalAI, we are building the world’s fastest, most scalable, most expressive, most open relational knowledge graph management system (RKGMS), built on top of the world’s only complete relational reasoning engine that uses the knowledge and data captured in enterprise databases to learn and reason.
The results are stunning.
World-class talent driving knowledge graph innovation
We believe that future enterprise systems will be built with relational knowledge graphs as a foundation and that each component of the system will either be learned (via machine learning) or declared (via a reasoner).
The days of instructing the computer, step-by-step, on how to perform a task will be behind us.
Systems built this way, with fewer compute and human resources will increase margins, accelerate growth, and strengthen defensive moats.
At RelationalAI, we have brought together a group of leading researchers, data scientists, computer scientists and software engineers with extensive experience applying novel technologies to a wide range of complex problems in multiple industries.
Our team benefits from this unique combination of in-house expertise and active collaboration with the world’s foremost research institutions in areas ranging from machine learning and operations research to databases and programming languages. This collaboration regularly yields award-winning publications at the most respected academic conferences and journals.
