Sr. Engineering Manager

Who We Are

Atlan is building the missing context layer for data and AI, helping enterprises close the AI value chasm and finally move AI pilots into production. 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 unifies this context by connecting to every part of the data and AI stack, enabling teams to build, collaborate on, and activate shared context across data, business, and AI workflows, including for AI agents.

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.

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.
  

Why Atlan?

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:

• Competitive Compensation: We benchmark at the top of the market and keep compensation simple: strong base salary, performance‑based variable pay, and impact‑driven equity, so your total rewards grow in step with the value you create over time.

• Health & Wellness: From Day‑1 health, dental, vision, and mental health to pet‑care perks and flexible health stipends, we design benefits offerings that lead in each country we're in.

• Flexible Time Off & Leave Policies: We trust you to own your energy: flexible time off and modern leave so you can unplug properly, support yourself and your loved ones, and come back ready to drive an impact.

• Accelerated Growth & Learning: Develop at an uncommon velocity through cutting-edge tech, complex implementations, and an experienced team that values mastery.

• AI Native Culture: Atlan is where AI-native builders come to build the systems the future of work will run on. AI isn’t an add-on, it’s woven into how we build, think, and work every day, empowering every Atlanian to move faster and create a bigger impact.

• Global, Remote-First, High-Trust: Work from anywhere with a diverse team across 15+ countries, in a trust-first, async environment that gives you true flexibility and ownership over how you work.

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.