Senior Engineering Manager - Data Platform

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.

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.

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.

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.

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.

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.

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.

You’ve led and scaled engineering teams (including managing managers), ideally within platform, infrastructure, or data-heavy SaaS organizations.

You bring credibility in distributed systems, cloud-native architectures, and operating high-availability platforms with strict SLOs.

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.

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.

You connect technical decisions to product strategy and org design, while prioritizing clarity, trust, and team growth.

This is foundational work in building a world class data platform, not feature delivery.

You’ll help define how enterprise data becomes the context layer for AI systems. High leverage. Deep technical ownership. Real scale.

Joining Atlan means being part of a global movement to help data teams do their life’s best work. Here’s what you can expect: