Technical Lead

zaimler • San Mateo, CA

14h

About The Position

About zaimler

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.

The Role

As a Technical Lead, you’ll sit at the intersection of technical execution, architecture, and leadership.

This is a hands-on role. You’ll write code, own systems, and lead our growing team of engineers, helping us ship production-quality infrastructure while setting a high bar for engineering rigor as we scale.

You are not a project manager. You are a builder who can lead.

Requirements

• Strong experience as a senior or staff-level engineer in production systems
• Prior experience leading engineers, formally or informally
• Comfort owning systems end-to-end: design → build → deploy → operate
• Strong fundamentals in:Distributed systemsBackend servicesAPIs and data flows
• Excellent judgment in ambiguous, fast-moving environments
• Willingness to be hands-on, this role writes real code

Nice To Haves

• Experience in early-stage startups
• Background in data infrastructure, ML platforms, or cloud-native systems
• Experience scaling systems or teams from “small but working” to “reliable at scale”
• Comfort working across infra, backend, and application layers

Responsibilities

• Own the design and implementation of core backend/platform systems
• Lead architecture discussions and make pragmatic tradeoffs in ambiguous environments
• Set technical direction for a small team while staying deeply involved in the codebase
• Review PRs with an eye toward correctness, performance, and long-term maintainability
• Drive technical decisions across data, infra, and application layers as needed
• Manage and mentor a small group of engineers
• Provide regular feedback, coaching, and growth guidance
• Help onboard new engineers and set expectations for technical excellence
• Foster a culture of ownership, velocity, and thoughtful engineering
• Break down complex problems into clear milestones
• Balance speed with system quality in a fast-moving startup environment
• Partner closely with product and leadership to align technical work with company goals
• Identify risks early and proactively unblock the team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed