Remote Solution Engineer - Enterprise AI & Data Reasoning

Remote; San Francisco (CA); Remote; USD 170,000 - 200,000; Full time

Benefits offered by this job

Equity

Open PTO

Flexible schedules

Learning stipends

Job summary

RelationalAI is hiring a Solution Engineer who will be embedded with customers to solve complex data problems. You will own outcomes end to end, model enterprise data, and ship production-grade decision systems that operate on real customer data in their Snowflake environments.

You’ll work with executives and data teams to identify impactful decisions, develop reusable patterns, and drive product improvements from field feedback.

Qualifications

• 5+ years building and shipping production software, incl. customer/partner environments
• End-to-end ownership of a problem from statement to production
• Strong SQL and cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
• Strong Python programming ability; comfort with declarative/logic languages
• Able to read unfamiliar code, interpret stack traces, and debug systems you didn’t write
• Able to collaborate with VP-level and staff data engineers in the same meeting
• Work well in high-autonomy, high-velocity environments

Responsibilities

• Own outcomes end to end—from discovery to production.
• Build decision solutions on our modelling, reasoning, and learning stack.
• Fill gaps when platform lacks capabilities; scope and build, then upstream improvements.
• Provide feedback to Product with reproductions, patterns, and failure modes.
• Run technical discovery to determine feasibility and value.
• Document work in the repository within the same week.
• Avoid undocumented config drift and explain root causes.

Skills

5+ years building prod software

End-to-end ownership

SQL & cloud data platforms

Python programming

Code comprehension

Cross-functional collaboration

Autonomy in work

Tools

Snowflake

BigQuery

Databricks

Redshift

Job description

RelationalAI is hiring a Solution Engineer who will be embedded with customers to solve complex data problems. You will own outcomes end to end, model enterprise data, and ship production-grade decision systems that operate on real customer data in their Snowflake environments.

You’ll work with executives and data teams to identify impactful decisions, develop reusable patterns, and drive product improvements from field feedback.