PRINCIPAL, TECHNOLOGY ENGINEERING

The company is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale.
We eliminate the hidden inefficiencies in modern data platforms—slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains.
Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back—making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills.
World renowned researchers in compression, information theory, and data systems
Elite engineers from Google, Pure Storage, Cohesity and top cloud teams
Powered by World-Class Investors & Customers
$65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders
We’re building the default data substrate for AI, and a generational company built to endure.
A Deep Tech Approach to AI
Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025.
Lead and build a team of 8-10 engineers shipping core platform services across the AI data stack
Stay 40% hands-on in high-leverage areas like Spark shuffles, Iceberg metadata stores, and vectorized engines
Coach architecture & velocity —drive weekly iteration while enforcing engineering excellence
Own quarterly outcomes —measuring success through performance (P90 latency), reliability (4+ nines), and hiring bar (zero-regret additions)
Design for scale & autonomy —build workflows where two-pizza teams can ship daily with minimal friction
7+ years in backend or infra engineering roles, with 2+ years as a tech lead or manager
Proven success building and leading high-caliber teams in performance-critical environments (e.g. databases, ML infra, lakehouse systems)
Passion for building foundational technology that changes how data is used at scale
By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence.
Elite peers —you’ll collaborate with engineers from Meta, Google, Databricks, Okta, and early FAANG builders
Clear metrics, real impact —our platform cuts storage costs 60%, compute 60%, and boosts processing speeds 3x
Competitive salary and equity
Premium healthcare, vision, and dental
Flexible hybrid work setup (Mountain View HQ)
We’re committed to building a diverse, inclusive team and encourage candidates from all backgrounds to apply.
Full-time
Engineering and Management
Software Development
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