Sr. Engineering Manager

Sr. Engineering Manager 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 THE OPPORTUNITY 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 YOU'LL 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 GREAT LOOKS LIKE 😍 - 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 explo ... (truncated, view full listing at source)