We Are
At RelationalAI, we are enabling the future of data-centric systems that learn, reason, and predict, built on our cloud-native relational knowledge graph management system. We are bringing together a global team of exceptional people who inspire and respect one another to achieve our mission.
We are intellectually curious, with problem-solving mindsets and a proven track record of delivering results. We value the ability to learn, grow, and respond to an ever-changing landscape of challenges and opportunities as much as we value past experience.
RelationalAI is a remote-first company that has been operating with a distributed team since day one. We are based on six continents, support team members wherever they live, and are fluent in the tools and processes of distributed and often asynchronous work.
About the Sales Engineering Team
Sales Engineers at RelationalAI serve as the trusted technical advisors for our customers and often act as the key translator and facilitator across functional groups. They use their knowledge of the competitive landscape, industry trajectory and prevailing market trends to drive business value, offer advice, and support our customers as they deploy solutions.
Rel Practitioners at RelationalAI leverage deep knowledge of the Rel language and RAI's unique architecture to build data apps that prospects are dreaming about but have been unable to implement with existing legacy technologies. They combine their modeling, coding, database, graph, and ML/AI skills to demonstrate the business value of Rel and the Relational Knowledge Graph.
The Opportunity
At RelationalAI we are defining a new approach to developing analytic solutions or “Data Apps” utilizing the vast amounts of complex data now available to our customers. As the complexity grows for both us and our customers, we are looking to our Sales Engineers to strategize and lead customers in use case discovery, RelationalAI evangelism, and oftentimes helping new users with concepts like declarative programming, business modellng, or AI/ML.
We are in search of insightful and intellectually curious pre-sales professionals looking for their next challenge.
What You Will Do
A Sales Engineer must be ready to interact and have technical discussions with data scientists and engineers, then demonstrate the value of RelationalAI in business discussions with company executives. The goal is to enable our customers to become successful and enthusiastic RelationalAI champions. A Sales Engineer has a key role internally as well. This position is dynamic and highly cross-functional. Armed with key customer insight and knowledge, a Sales Engineer must regularly work with the sales, product, engineering, support, and marketing teams.
As a member of the pre-sales team, a Sales Engineer will:
- Work with Sales Reps to identify and call upon prospects
- Position RAI’s product within the ecosystem of complementary tools, partners, and competitors
- Perform deep dive discovery to identify customer data flows, key use cases and stakeholders, pain points and opportunities
- Design and propose POCs and Pilots, including success criteria
- Create sales collateral and other assets
Who You Are & What You Bring
RAI is a growing startup with a product built on extensive experience with business modeling, declarative languages, and Data Apps before they were called Data Apps. There is room for tremendous professional growth here. Your background should include:
REQUIREMENTS:
- Bring 5+ years of Sales Engineering professional experience.
- Have sold Snowflake as a Sales Engineer employed at Snowflake, OR have supported Snowflake as a Snowflake employee or Snowflake partner, OR have been a user of Snowflake.
- Prior pre-sales / sales engineering experience, especially doing presentations and demos, conducting discovery and whiteboarding sessions, etc.
- Familiar with relational databases and SQL.
- Experience conceptualizing and presenting the business value of a product’s architecture and capabilities to different audiences in different industries.
DESIREMENTS:
- Coding/scripting experience: e.g. Python, Julia, Rel, and shell scripting
- Incredibly knowledgeable
- Data Application experience: solving analytics and other data-related business problems
- Awareness of / interest in declarative programming languages
- Awareness of / interest in business modeling
- Awareness of / interest in machine learning and AI
LOCATION and TRAVEL:
Covid has driven us to a nearly entirely virtual sales motion at this time, making physical location less important except in terms of timezones. However, as the world continues to re-open we expect to eventually resume some measure of in-person sales activity. Candidates should be US-based and prepared for travel when it becomes appropriate.
Why RelationalAI
RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live.
🌎 Global Benefits at RelationalAI
At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally.
- We are all owners in the company and reward you with a competitive salary and equity.
- Work from anywhere in the world.
- Comprehensive benefits coverage, including global mental health support
- Open PTO – Take the time you need, when you need it.
- Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge.
- Paid parental leave – Supporting new parents as they grow their families.
- We invest in your learning & development
- 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 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.
Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here.
California residents applying for positions at RelationalAI can see our Privacy Policy here
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.
Top Skills
What We Do
Knowledge Graphs without Compromises
At RelationalAI, we are building the world’s fastest, most scalable, most expressive, most open relational knowledge graph management system (RKGMS), built on top of the world’s only complete relational reasoning engine that uses the knowledge and data captured in enterprise databases to learn and reason.
The results are stunning.
World-class talent driving knowledge graph innovation
We believe that future enterprise systems will be built with relational knowledge graphs as a foundation and that each component of the system will either be learned (via machine learning) or declared (via a reasoner).
The days of instructing the computer, step-by-step, on how to perform a task will be behind us.
Systems built this way, with fewer compute and human resources will increase margins, accelerate growth, and strengthen defensive moats.
At RelationalAI, we have brought together a group of leading researchers, data scientists, computer scientists and software engineers with extensive experience applying novel technologies to a wide range of complex problems in multiple industries.
Our team benefits from this unique combination of in-house expertise and active collaboration with the world’s foremost research institutions in areas ranging from machine learning and operations research to databases and programming languages. This collaboration regularly yields award-winning publications at the most respected academic conferences and journals.
.png)
