--- title: 'Customer Support Engineer at RelationalAI' canonical: 'https://feeny.ai/job/customer-support-engineer-relationalai-united-states-2sr56bqwn4p7' type: 'job' last_seen: '2026-09-10' --- # Customer Support Engineer at RelationalAI - **Company:** RelationalAI - **Location:** United States - **Work type:** remote - **Posted:** 2026-09-04 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/relationalai/jobs/6182605004 ## Job description ## 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. Customer Support Engineering: Customer Support Engineering is an integral part of the Customer Success organization and a key foundation for the long-term success and satisfaction of our growing customer base. This team’s primary focus is understanding our customers' environments, questions, and issues to ensure the best customer experience with RelationalAI products and services. What You'll Do: As a Support Engineer, you’ll spend your first months immersed in learning RAI’s products, support and other internal processes, and working on support cases from customers to build up the appropriate level of experience and insight needed to deliver the level of support RAI’s customers have come to appreciate and expect. You will also have the opportunity to become deeply skilled in specific areas of interest within the product, acting as a Subject Matter Expert for our Field Engineering team. Last but not least, you will be an integral part of the Support Engineering team, working together to improve and evolve the product and the support we deliver to meet our customers' needs in the market. Qualifications: A Customer Support Engineer at RAI is comfortable troubleshooting technical issues, speaking with customers about their needs, questions, and concerns, and working with their colleagues as part of a growing team distributed across the globe. This person should be curious and have a proven ability to learn quickly. Specific qualifications for the role include: Role Skills: - Passion for solving customer problems. - Take responsibility and ownership of customer problems. - Ability to handle a range of urgent to minor support requests during business hours, with occasional off-hours scheduled work and on-call shifts. - Establish and constantly build upon a solid technical understanding of RAI and how our customers build, deploy and manage applications using our platform. - Collaborate effectively with Sales, Field Engineering and Product Engineering to understand and resolve customer issues completely and expediently. - Constantly work to streamline and improve processes, tools, RAI’s product offerings, and the overall customer experience. - Know when to seek help, and always be willing and open to offering expertise and assistance to colleagues and customers alike. - Ability to leverage AI agents as a resource to accelerate troubleshooting and proactively propose code optimizations for customers. - Effectively communicate with all levels of customer contacts including CTOs, management, developers and operations teams. - Provide valuable guidance and insight through email, telephone, remote conferencing and occasionally in-person engagements. - Work with Product Management and Product Engineering to help define and drive fixes and enhancements to address customer needs. Technical Skills: - Timely triage varying issues based on error messages, log files, thread dumps, stack traces, sample code, and other available data points. - Troubleshoot performance issues with customer technology and how it works with RAI technology. - Embrace RAI as a part of the customer’s overall architecture, with a need to advise and troubleshoot client applications. - Efficiently troubleshoot environment issues primarily with RAI, Snowflake, and Azure. - Background in database technologies and/or graph database technologies. - Proficient in programming languages - Python, SQL etc. Other Requirements: - 5+ years in a customer-facing support role. - B.S. or M.S. in Computer Science or Engineering, or other technical fields, strongly considered. The Customer Support Engineer position offers a base salary range of $140,000 to $160,000, 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. ## 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. ## About RelationalAI ## Company Overview - **One-liner**: RelationalAI builds a decision intelligence platform native to Snowflake that combines semantic modeling with advanced reasoning to help enterprises move from AI experimentation to operational intelligence. - **Entity Type**: Private (Series C) - **Headquarters**: Berkeley, California, United States - **Founded**: 2017 - **Founders**: Molham Aref (CEO), Marco Diciolla, and others ## Core Business - **Industries**: Decision Intelligence, Artificial Intelligence, Data Cloud, Enterprise AI - **Target Customers**: B2B, Enterprise organizations with complex data environments and decision-making needs, particularly those using Snowflake - **Mission/Purpose**: To teach AI to reason like your business does, bridging the gap between AI-generated insights and actual operational decisions by building a system that understands business context and logic. ## Products & Services - **Rel (Decision Agent)**: An AI decision agent aligned to a business’s semantic model, grounded in relational knowledge graphs, and powered by advanced reasoners. It can analyze all tables and documents inside Snowflake, build a business model, enrich it with business intuition, and reason over it to answer complex questions and drive decisions. - **RelationalAI Decision Intelligence Platform**: The underlying platform that includes graph reasoners, rule-based reasoners, predictive and prescriptive analytics, all running natively inside Snowflake. It supports zero-copy cloning, versioning, time-travel, and consumption-based pricing. - **Superalignment Methodology**: A proprietary approach that fine-tunes LLMs securely inside the data cloud, enriching them with semantic models and relational knowledge graphs to ensure AI stays grounded in business reality. When a user corrects the system, the update is permanent—no retraining or drift. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Total Funding**: $97.5M (as of Series C) - **Latest Funding Round**: Series C ($22.5M raised approximately 6 months ago, per CB Insights) - **Key Metric**: 170+ professionals across 26 countries, including 100+ engineers and 50+ PhDs - **Notable Investors/Partners**: Tiger Global Management, Addition, Madrona Venture Group, Menlo Ventures, Snowflake Ventures, AT&T Ventures, and industry leaders like Bob Muglia and Satya Nadella - **Growth Signals**: Recognized in the 2026 Magic Quadrant for Data and Analytics (Gartner), achieved #1 accuracy on the Spider 2.0 benchmark for SQL reasoning using superalignment, has earned over 35 research awards, and collaborates with researchers at more than 20 universities while publishing at top conferences. ## Competitive Advantages - **Snowflake-Native Architecture**: Operates directly inside Snowflake, eliminating data movement, syncs, and impedance mismatch, which reduces complexity and fragility. - **Knowledge Compounding**: When the system learns a business rule or is corrected, that knowledge persists and compounds across the organization—no retraining required, no drift. - **Multi-Modal Reasoning**: Combines graph reasoning, rule-based reasoning, predictive and prescriptive analytics in a single platform, offering much deeper decision support than LLMs alone. - **Heavy R&D Backing**: 50+ PhDs on staff, publishing at top conferences, collaborating with 20+ universities, and achieving top benchmark results. ## Strategic Focus - **Decision-Grade AI**: Moving beyond standard AI “insights” (summarization, retrieval, generation) to actual operational decision-making that delivers measurable ROI. - **Deep Enterprise Embedding**: Scaling the platform as a critical layer within the Snowflake ecosystem, making it the standard for enterprise business logic and decision automation. - **Agent Alignment**: Continuously improving superalignment methodology to ensure AI agents remain grounded in dynamic business realities. - **Product Development**: Expanding the “Rel” decision agent and the underlying reasoner capabilities to cover more use cases and verticals. ## Why Work Here - **Remote-First Culture**: The company is remote-first and headquartered in Berkeley, CA, with 170+ teammates across 26 countries, offering a high degree of flexibility. - **Deep Technical Challenges**: Work involves cutting-edge AI, semantic modeling, graph databases, reasoning engines, and optimization—a compelling environment for top-tier engineers and researchers. - **Strong Research Orientation**: With 50+ PhDs, collaboration with 20+ universities, and 35+ research awards, there is a tangible emphasis on pushing the state of the art. - **Core Values**: Customer centricity, transparency (radical candor), collaboration, innovation, and execution—values that suggest a balanced, high-accountability culture. - **Mature Stage with Startup Energy**: Series C funded with $97.5M total raised, backed by top-tier investors, but still relatively small (170 people) allowing for outsized individual impact. - **Career Growth**: (General job postings available via Greenhouse, though currently limited listings.) ## Sources 1. [relational.ai - Company](https://relational.ai/company) 2. [relational.ai - Product](https://www.relational.ai/) 3. [CB Insights - RelationalAI](https://www.cbinsights.com/company/relationalai) 4. [LinkedIn - RelationalAI](https://www.linkedin.com/company/relationalai) 5. 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