Senior Engineering Manager - Data Platform

Who We Are
Most companies are racing to deploy AI, but very few have the foundation to make it work reliably. Atlan is building that missing layer: the context layer for enterprise AI. We connect the business context behind data so humans and agents can operate with far more accuracy and confidence.

With backing from world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures, we've earned the trust of most AI-forward enterprises like General Motors, Nasdaq, Workday and Elastic.

Come build the infrastructure that AI runs on.
The Opportunity
Atlan is building the context layer for the AI era, the control plane that makes enterprise data usable, governed, extensible, and AI-ready.

We're looking for an Engineering Manager to join one of our core platform teams. This is not a coordination role. We need an engineer-first, hands-on platform leader who has built and owned foundational systems at scale, whether that's distributed platform primitives and ingestion infrastructure, or data quality systems and AI-native product surfaces that sit on top of them.

What will you do? 🤔Build the AI-ready context foundation
Lead the engineering charter to design and evolve an AI-ready context store across structured, unstructured, vector, and graph systems. This platform powers apps, agents, and enterprise workflows on top of trusted data.
Own core platform primitives
Drive end-to-end delivery of complex platform capabilities, including:

High-scale ingestion and validation frameworks

Contract-driven routing, storage, and serving layers

Multi-tenant isolation and noisy-neighbor resilience

Search APIs with sub-second P95 response times

Systems operating at 99.99% availability

You’ll simplify ambiguous problems, define clear technical direction, and ensure teams ship durable, high-leverage infrastructure.
Lead from the front
Engage deeply in architecture and systems design. Guide distributed systems tradeoffs, review RFCs, unblock critical issues, and participate meaningfully in technical decisions. This role requires technical depth, not just coordination.
Scale teams and operational excellence
Build and mentor high-performing engineers and managers. Define engineering metrics, on-call practices, SLO discipline, and incident processes. Strengthen the operational engine behind a platform serving 100K+ users and billions of assets.

 
What makes you a great match for us? 😍Experience building data or platform primitives at scale
You’ve built or owned foundational systems such as:

Data ingestion frameworks or lakehouse foundations

Metadata, governance, or catalog platforms

Multi-tenant SaaS infrastructure and tenant isolation mechanisms

Search, storage, or distributed serving layers

Data quality, validation, or contract enforcement systems

We’re particularly excited about leaders who have operated in data platform environments but equally value those who have built core platforms and shared infrastructure powering enterprise SaaS systems.
Platform leadership experience
You’ve led and scaled engineering teams (including managing managers), ideally within platform, infrastructure, or data-heavy SaaS organizations.
Strong distributed systems and reliability depth
You bring credibility in distributed systems, cloud-native architectures, and operating high-availability platforms with strict SLOs.
Builder mindset with high agency
You thrive in ambiguity, move fast with ownership, and build foundational systems from first principles. You’re comfortable operating in evolving environments and shaping direction, not just executing on defined scope.
AI-native curiosity
You actively explore AI-assisted development workflows and think critically about how agentic systems will reshape developer productivity and platform design. You don’t need to be an AI/ML expert, but you should be excited to build in this shift.
Systems thinker and people-first leader
You connect technical decisions to product strategy and or…