or apply directly on RelationalAI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days RelationalAI's roles stay open a median of 14 days
- Reposted
- No
- Salary listed
- Yes 67% of RelationalAI's roles list one
- Ghost-job risk at RelationalAI
- moderate 1 stale, 0 reposted of 3 open
- Hiring momentum
- 3 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from RelationalAI's own greenhouse board since 2026-08-03. Full hiring picture for RelationalAI.
About this role
As a Solution Engineer at RelationalAI, you will work closely with customers to solve complex problems by building decision systems that leverage the company's AI technology. Your role involves end-to-end ownership of projects, from understanding customer needs to deploying solutions in production, while also identifying and addressing gaps in the platform. You will collaborate with various stakeholders, document your work, and contribute to product improvements based on your experiences in the field.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of RelationalAI as an employer.
What you need
- 5+ years building and shipping production software, at least some of it inside customer or partner environments
- Demonstrated end-to-end ownership of software projects from problem statement to production
- Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
- Strong programming ability in Python; comfort with declarative or logic-style languages is a real advantage
- Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems
- Able to communicate effectively with both technical and non-technical stakeholders
Nice to have
- Built analytical, decision, or reasoning applications that reached production
- 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 to features or tools
- Prior experience in enterprise technology, AI, or analytics platforms
What you get
- Base salary range of $170,000 to $200,000
- Equity
- Open PTO and flexible schedules
- Recharge weeks
- Global benefits and mental-health support
- Learning stipends
Worth weighing
- No specific mention of required educational qualifications
- Role involves significant autonomy and ownership, which may not suit everyone
- Expectations for delivering both customer-facing and internal improvements may be demanding
- The position is remote, but location-specific eligibility requirements may apply
Summarised from RelationalAI's posting. Read the full original.
Listed by RelationalAI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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