Who We Are
Atlan is building the missing context layer for data and AI, helping enterprises close the AI value chasm. Today, 95% of AI pilots fail because AI systems don’t understand the context behind data: what it means, how it’s governed, and how it should be used.
Atlan connects to every part of the modern data and AI stack to unify this context into a single, shared layer that both humans and AI agents can rely on.
With Atlan, teams can discover, understand, and trust their data; build and collaborate on a shared body of knowledge; and activate that context across analytics, operations, and AI workflows.Trusted by global enterprises like Mastercard, Workday, General Motors, Unilever, Ralph Lauren, FOX, Nasdaq, and Medtronic, we’re backed by world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures
We’re looking for a Senior Engineering Manager to join our Data Platform team. This is not a generic engineering management role. We need an engineer-first, hands-on platform leader who has built and owned foundational systems at scale spanning ingestion, multi-tenant reliability, and distributed platform primitives.
This is a high-ownership role where you’ll lead critical platform initiatives, scale high-performing teams, and shape the technical foundation that powers AI agents and applications.
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.
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.
More About Us
Atlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. The conversation has moved from data leaders asking: “Can we trust the data in our stack?” to businesses asking: “Can we trust AI inside the business?”
We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents.
Recognized as an industry-leading metadata, catalog, and data governance platform, we’ve been named a Leader by both Gartner and Forrester across enterprise data catalogs, metadata management, and governance.
To learn more, visit www.atlan.com and follow us on LinkedIn
Equal Opportunity Employer
Atlan is committed to building an inclusive, diverse, and authentic workplace. We do not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other legally protected characteristic.
