[All remote jobs](https://jobicy.com/jobs.md)Open role[![RelationalAI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/476c6344-221.jpg)](https://jobicy.com/company/relationalai.md)Remote opportunity at[RelationalAI](https://jobicy.com/company/relationalai.md) # Don’t see what you’re looking for? Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/relationalai.md)Share24 Aug 2026Published43Listing views3Application actions23 Sep 2026Apply before Opportunity details ## About this role. AI SummaryThis is a general talent-network application for future RelationalAI opportunities rather than a single defined vacancy. The company is seeking technical individual contributors and leaders across software engineering, database and graph systems, infrastructure, security, research, product, program/project management, and technical account executive functions. RelationalAI develops enterprise AI technology that combines LLMs, structured data, relational knowledge graphs, and neuro-symbolic reasoning. Candidates with Snowflake experience and experience building or supporting connected enterprise software products are especially relevant. The organization operates remotely worldwide, subject to location-specific eligibility requirements. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe prospective roles involve complex enterprise AI and SaaS domains, particularly database systems, graph technology, distributed infrastructure, and technical product delivery. Because this is an open application spanning both IC and leadership roles, candidates must clearly articulate their specialty, impact, and ability to operate independently in an evolving environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$160,000US market range$120k–$220k0$242k AI insightNo actual salary range is disclosed; “competitive salary + equity” is not sufficient to extract compensation. This is an estimated US yearly base-salary market range for experienced technical SaaS, data infrastructure, AI, and technical product/program talent; actual compensation will vary substantially by function, seniority, location, and equity structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Software Engineering](https://jobicy.com/jobs?search_keywords=Software%20Engineering.md)[Enterprise AI](https://jobicy.com/jobs?search_keywords=Enterprise%20AI.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[Database Systems](https://jobicy.com/jobs?search_keywords=Database%20Systems.md)[Graph Databases](https://jobicy.com/jobs?search_keywords=Graph%20Databases.md)[Data Infrastructure](https://jobicy.com/jobs?search_keywords=Data%20Infrastructure.md)[Query Optimization](https://jobicy.com/jobs?search_keywords=Query%20Optimization.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Technical Product Management](https://jobicy.com/jobs?search_keywords=Technical%20Product%20Management.md) Sample interview questionsWhich RelationalAI function or technical domain best matches your experience, and why?I would identify my strongest domain, such as database infrastructure, distributed systems, technical product management, or enterprise AI, then connect specific accomplishments to the challenges RelationalAI is solving. I would also explain how my adjacent skills would let me contribute across teams. Describe a complex data or infrastructure problem you solved in an enterprise software environment. I would use a structured example covering the initial constraints, architecture and trade-offs considered, stakeholders involved, implementation approach, and measurable outcome. I would emphasize reliability, scalability, performance, and the business impact of the solution. How have you worked with Snowflake or products integrated with Snowflake? I would describe the use case, such as data ingestion, analytics, governance, application integration, or data sharing, and explain the technical design choices. If my Snowflake experience were limited, I would highlight comparable cloud data-platform experience and a concrete plan to ramp quickly. How do you communicate technical complexity to product, customer, or executive stakeholders? I tailor the level of detail to the audience, begin with the decision or business outcome, and use concise visuals, examples, and explicit trade-offs. I confirm alignment on risks, ownership, and next steps while retaining enough technical precision for informed decisions. What does effective autonomous work look like on a globally distributed team? I set clear goals, document decisions and progress, surface blockers early, and create predictable communication rhythms across time zones. I balance independent execution with proactive collaboration so that teammates have visibility without unnecessary meetings. 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. Position Interested in RelationalAI, but don’t see an open position that you want to apply to? Submit your application here! We are always looking for talented people to join our team would love to consider you for future opportunities. Here are the specific positions of interest for individual contribution and leadership in the SaaS industry: -Software Engineering in the following domains: Engine, Database Systems, Graph of Databases Systems, Query Optimization, Replication, Storage Layer Eng, Control Plane, Infrastructure, Security, and Product. -Research Collaborator, Graph Database Experts/Analysts, Data/Computer Scientists -Technical Product Management -Technical Program Management -Technical Project Management -Technical Account Executive Experience with Snowflake and software products that connect with Snowflake is a big plus. ### Why RelationalAI 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 Apply 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. Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy [here](https://relational.ai/gdpr). California residents applying for positions at RelationalAI can see our Privacy Policy [here](https://relational.ai/ccpa-notice) 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. Show more [Apply now >](https://jobicy.com/jobs/151468-dont-see-what-youre-looking-for.md) > Annual salary information is not provided for this position. 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