Solution Engineer
RelationalAI · Remote ·
- Work mode
- Remote
- Seniority
- C level
- Category
- Solutions engineering
- Experience
- 5+ years
- Salary
- USD 170,000 – 200,000 / year
RelationalAI · Remote ·
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The Solution Engineer works remotely with customers to design, build, and ship end‑to‑end decision intelligence systems using Python, SQL and cloud data platforms like Snowflake, delivering production‑ready AI solutions and feeding back product improvements.
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.
You will be embedded inside our customers' hardest problems, and you will own the outcome until it works in production.
You'll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that's in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you'll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.
Every engagement here produces two deliverables.
The first is the one the customer sees: a working decision system that changes how they operate.
The second is the one that matters most to us: the pile of things you had to invent because our platform didn't have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.
That second deliverable is why this role exists. If you only ever deliver the first one, we've hired a consultant. We're not hiring consultants.
You'll operate with unusual autonomy: you decide what's worth building, when a workaround is acceptable and when it's technical debt we'll regret, and when to tell a customer their real problem is not the one they asked about. You'll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.
You thrive in ambiguity and move with intent. You're motivated by deep understanding and meaningful impact.
We'd rather be blunt than waste your time:
Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you've never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We're looking for how you think when you don't know the answer.
The Solution Engineer position offers a base salary range of $170,000 to $200,000, 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.
At RelationalAI, you will:
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.
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.
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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.
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