Senior Performance Software Engineer, RelationalAI

$140-220k

+ Equity

Python

Datadog

Senior and Expert level

Remote in US

Relational knowledge graph management

Be an early applicant

Relational knowledge graph management

101-200 employees

B2BArtificial IntelligenceData storageEnterpriseBig dataAnalyticsSaaS

Be an early applicant

$140-220k

+ Equity

Python

Datadog

Senior and Expert level

Remote in US

101-200 employees

B2BArtificial IntelligenceData storageEnterpriseBig dataAnalyticsSaaS

Company mission

RelationalAI is on a mission to simplify computing by enabling people to tell computers what they want to do without having to tell them how to do it.

Job

Company

Role

Who you are

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
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

What the job involves

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

Our take

With more and more businesses and organizations relying on cloud data platforms, demand for better ways to manage this data is rising. RelationalAI is seeking to disrupt the intelligent app landscape with solutions to change the way intelligent apps are built, making it easier for users to access, manage and utilize knowledge data more effectively.

The company's innovative use of knowledge graph technology has gained it much attention, and it was able to raise considerable funding in 2022, which is an undeniable indicator of its impact and potential.

RelationalAI has ambitious plans to open up its platform more widely, and seems likely to see good growth in the coming years. Recent developments include the release of a new product, an AI “coprocessor” for Snowflake, that integrates relational knowledge into Snowflake’s data management platform

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

23% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (1 round)

Apr 2022

$75m

SERIES B

Total funding: $75m

Company HQ

South Berkeley, Berkeley, CA

Leadership

Molham Aref

(CEO)

Previously served as VP of HNC Software and Retek, and was Director of Nomi for over 15 years. Was also CEO of LogicBlox and Predictix.

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