Who We Are
At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction.
We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5.
We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live.
We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.
A proactive problem-solver who takes full ownership of customer and team challenges. You embrace opportunities to explore unfamiliar system components with enthusiasm and curiosity. Your approach combines technical excellence with data-driven analysis to deliver optimal solutions. While maintaining high standards, you demonstrate genuine empathy toward both colleagues and customers, creating a collaborative environment where relationships and results flourish together.
In this role, you'll tackle this through building advanced profiling and observability infrastructure, working with teams to fix performance issues (or just fixing them yourselves), and contributing to design reviews across the organization to ensure a performance-oriented mindset and culture through Engineering. We’re solving difficult problems at RelationalAI, and in Performance Engineering, you get to touch it all: distributed systems, database internals, mathematical optimization solvers, GNNs, GraphRAG, and other GenAI.
You’ll have :
- 7+ years of experience in performance engineering and benchmarking, focusing on large-scale data systems.
- Experience with distributed tracing and observability tools like Datadog, Honeycomb, LogicMonitor, or something similar.
- We’re language agnostic (but if you’re curious, we mostly use Python and Go)
- Extensive hands-on experience with performance engineering methodologies and best practices.
- Expertise in identifying and resolving performance bottlenecks using profiling tools and tracing.
- Deep understanding of distributed computing systems and architecture, with a focus on data-intensive applications.
- A proven track record of collaborating with other engineering teams to drive customer-centric outcomes.
Compensation Range of $140,000 to $220,000, depending on experience level and location.
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.
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