What you will do:
- Architect and deliver a high-performance Advanced Analytics Engine – featuring vectorized query processing, columnar storage and OLAP capabilities – that redefines speed, scalability, and analytical depth while crunching marketing datasets with sub-second performance.
- Design and build an Agentic AI system that leverages this Advanced Analytics Engine to drive autonomous, intelligent decision-making.
- Partner with product, engineering and data teams to power agentic AI analytics systems that autonomously explore data and surface actionable insights.
- Profile, benchmark, and optimize Rust components for maximum throughput, low latency, and hardware-aware efficiency.
- Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure.
- Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem, leading architectural strategy and technical direction in close partnership with data and product engineering teams..
- Mentor and guide engineers, fostering a culture of technical excellence, innovation, and collaboration.
- Contribute to open-source or internal frameworks that advance analytical systems and distributed computation.
What you bring to the role:
- 12+ years of professional software engineering experience, including 5+ years architecting or building high-performance data systems or analytics platforms. 3+ years of product Rust experience.
- Deep expertise in Rust and strong experience in Java. Ideally looking for individuals who have transitioned from Java to Rust.
- Proven track record building large-scale data analytics or OLAP systems from the ground up.
- Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization.
- Hands-on experience with performance engineering, profiling, and hardware-aware optimization.
- Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud.
- A systems-thinking mindset - you see software, data, and infrastructure as one cohesive system to tune and optimize.
- Thrives in a fast-moving, startup environment - comfortable balancing hands-on execution with big-picture architectural thinking.
- Strong foundation in statistics and data analysis concepts.
- Familiarity with AI-driven analytics, or experience with open-source engines such as Apache DataFusion, DuckDB or ClickHouse/chDB are big pluses.
- Experience evolving / refactoring large brownfield solutions is a plus.
Top Skills
What We Do
DISQO’s mission is to build the world’s most trusted ad measurement platform that fuels brand growth. The world’s largest brands, agencies, and media companies trust DISQO for expert insight and AI-driven intelligence about their advertising performance across all platforms. We capture people’s sentiments and journeys, connecting them with the brands they value and the media they consume. With this identity-based approach, brands gain more accurate and authentic insight so they can create more meaningful interactions.
Founded in 2015 and headquartered in Los Angeles, DISQO is recognized as a hyper-growth tech startup and one of the best places to work in the US, with more than 270 team members globally. Follow @DISQO on LinkedIn and Twitter/X.
Why Work With Us
At DISQO, we don’t just hire talent—we champion it. We unlock potential, fuel growth, and raise the bar. Our culture thrives on curiosity, creativity, and courage. Respect is non-negotiable, collaboration is instinctive, and impact is expected. Here, you grow, lead, and redefine what’s possible.
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DISQO Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In 2023, we implemented a structured hybrid model for employees who live within 50 miles of any of our physical offices (Glendale, CA/New York, NY/Yerevan, Armenia). All other employees are encouraged to visit offices.











