[Hiring] Solution Engineer @RelationalAI

Role Description

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.
• 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 a working decision system that changes how they operate.
  • The second is the pile of things you had to invent because our platform didn't have them yet.
• You'll operate with unusual autonomy: decide what's worth building, when a workaround is acceptable, and when to tell a customer their real problem is not the one they asked about.
• Be technical enough to find the root cause yourself when something breaks in a customer environment.

What You'll Do

• Own outcomes end to end: discovery, modelling, implementation, performance tuning, production hardening, and measurement.
• Build, not describe: design and ship decision solutions on our modelling, reasoning, and learning stack.
• Fill the gaps yourself: scope and build when a customer workflow is blocked.
• Close the loop with Product: bring back reproductions, patterns, and specific failure modes.
• Run technical discovery that gets to the truth: workshops, demos, and proofs of concept.
• Leave things better than you found them: document as you go and turn one-off work into reusable reference implementations.
• Refuse shortcuts that compound: no undocumented config drift or "it works now" without knowing why it broke.

Who You Are

• You thrive in ambiguity and move with intent.
• Owner, not participant: take full accountability for the outcome.
• You build: instinctively open an editor, not a deck.
• High conviction, low ego: argue hard for what you believe and change your mind quickly when the evidence turns.
• Rigorous: root-cause things and explain both why it broke and why your fix works.
• Fast in unfamiliar territory: become useful within days in new environments.
• High tolerance for friction: route around messiness in enterprise environments.
• Impact-driven: want the thing you built to still be running two years from now.

What This Role Is Not

• It is not demo-and-handoff pre-sales; you don't disappear after the POC.
• It is not staff augmentation; you own outcomes, not hours or ticket queues.
• It is not advisory; we deliver working software, not recommendations.
• It is not a support role; you deploy new things, not maintain someone else's legacy.

Qualifications

• 5+ years building and shipping production software, at least some of it inside customer or partner environments.
• Demonstrated end-to-end ownership: taken something from an ambiguous problem statement to running in production.
• Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift).
• Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage.
• Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn't write.
• Able to hold your own with both a VP of Supply Chain and a staff data engineer in the same meeting.
• Comfortable operating in high-autonomy, high-velocity, low-instruction environments.

Preferred Qualifications

• Built analytical, decision, or reasoning applications that reached production and stayed there.
• Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data.
• Semantic modelling, data pipelines, and governance in real enterprise settings.
• Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone.
• Prior experience in enterprise technology, AI, or analytics platforms.

How We Hire

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.

Benefits

• 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.
• A culture of transparency & knowledge-sharing.

Company Description

RelationalAI is 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.