You will architect the core systems enabling AI agents to reason over fragmented enterprise data. Designing distributed storage, real-time query engines, and semantic knowledge graphs, you’ll solve deep technical challenges at the intersection of high-throughput systems and knowledge representation for Fortune 500 deployments as a foundational engineering hire.
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Data Infrastructure Engineer at zaimler
Most AI fails because agents can't reason over fragmented data. This Pear VC-backed startup, founded by the former Chief Architect of Visa and LinkedIn’s Knowledge Graph lead, is building the context infrastructure for the agentic era. They are looking for a Data Infrastructure Engineer to build the distributed storage and query engines that allow AI to understand enterprise data at scale. With a $180k-$240k salary and founding-team equity, this is a rare opportunity to build the backbone of AI reasoning alongside world-class systems pioneers in San Mateo.
About this role
Role overview
About the company
Technology
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.
zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.
zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of AI runs on, we'd love to talk.
What you'll do
What you will do
- Design and implement distributed storage layers and consistency protocols optimized for graph-structured data at massive scale.
- Architect high-performance query execution engines capable of performing real-time semantic inference across billions of data relationships.
- Build robust ingestion pipelines that discover and normalize domain knowledge across dozens of heterogeneous, fragmented enterprise data sources.
Who you are
Who this is a fit for
- Deep systems-level proficiency in Java, C++, or Rust with a focus on multithreading, distributed consistency models, and consensus protocols.
- Proven track record building core infrastructure components like query engines, database internals, or large-scale data partitioning systems.
- Strong architectural intuition for high-QPS environments and the ability to navigate complex trade-offs between availability, latency, and fault tolerance.
Why this role
Why this role is remarkable
- Work directly with founders who built Visa's payment infrastructure and LinkedIn's 900M-member Knowledge Graph to define the next layer of the agentic AI stack.
- Tackle "engine-level" problems rather than just integrating APIs, including building custom distributed storage and semantic inference layers from scratch.
- Secure a high-impact, seed-stage role with a competitive $180k-$240k base and meaningful early equity in a company already deploying with major enterprises.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.