Atlan

Role Description We're looking for a SOC Lead who will own Atlan's security operations end-to-end. You lead the function, not a team. You own detection and response outcomes, manage our external SOC vendor, and build the AI-native operations layer that defines what security ops looks like at Atlan. You'll report to the Senior Security Manager and work across Application Security, Platform Security, GRC, and Corporate Security. We expect this person to contribute beyond SOC — whether that's supporting compliance audits, or security automation. What You'll Do - Own SOC operations - Manage the managed SOC vendor - Build detection and response capability - Build and operate AI agents for SOC - Lead incident response - Drive automation - Build toward in-house SOC - Contribute across security domains - Report to leadership Qualifications - 6+ years in security operations, with demonstrated experience building or leading core SOC functions, particularly across detection engineering and incident response. - Hands-on experience with SIEM platforms — alert triage, detection rule development, correlation logic (Splunk preferred) - Experience managing or working closely with a managed SOC or MDR vendor - Strong incident response fundamentals — you've run incidents, written post-mortems, and improved controls as a result - Comfortable with cloud-native environments (AWS/GCP/Azure) and the threat landscape specific to SaaS B2B companies - Experience with EDR platforms (SentinelOne, CrowdStrike, or similar) - Ability to write clearly — incident reports, runbooks, leadership briefings - Hands-on experience building automation — scripts, workflows, or integrations that reduced manual analyst work Requirements - Working knowledge of LLMs and how they can be applied to security operations — triage, summarization, investigation assistance - Experience building or using AI-assisted security workflows (prompt engineering, agent frameworks, or SOAR + AI integrations) - Ability to evaluate and deploy AI SOC agent tooling — you can tell the difference between a demo and something production-ready Nice to Have - Experience building or scaling an in-house SOC from scratch - Familiarity with automation tooling (n8n, Tines, Palo Alto XSOAR, or similar) - Prior work building agentic security workflows — multi-step AI pipelines that take actions, not just generate text - Working knowledge of compliance frameworks (SOC 2, ISO 27001, HIPAA) and how SOC feeds compliance evidence - Threat hunting experience - Relevant certifications: GCIA, GCIH, GCFA, or equivalent Benefits - Competitive Compensation: Strong base salary, performance-based variable pay, and impact-driven equity. - AI Native Culture: AI is woven into how we build, think, and work every day. - Health & Wellness: Comprehensive health, dental, vision, and mental health benefits. - Flexible Time Off & Leave Policies: Trust to own your energy with flexible time off and modern leave. - Accelerated Growth & Learning: Develop at an uncommon velocity through cutting-edge tech. - Global, Remote-First, High-Trust: Work from anywhere with a diverse team across 15+ countries.

• Write clean, well-designed code • Produce detailed specifications • Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality • Contribute in all phases of the development lifecycle • Follow industry best practices • Develop and deploy new features to facilitate related procedures and tools if necessary • Integration of user-facing elements developed by front-end developers • Build efficient, testable, and reusable PHP modules • Solve complex performance problems and architectural challenges • Integration of data storage solutions {{may include databases, key-value stores, blob stores, etc.}}

Role Description As an engineer on the Foundation Platform team, you will be responsible for the production infrastructure that powers Atlan’s context layer for AI across AWS, Azure, and GCP, using AI-assisted development tools (such as Claude Code and Cursor) as a natural part of your daily workflow. - Own and evolve our multi-tenant infrastructure on Kubernetes, including dedicated clusters per customer and the full tenant lifecycle (provisioning, scaling, migration, and offboarding). - Make our GitOps deployments faster and safer by improving the ArgoCD and Helm based pipeline that deploys 1,000+ applications across hundreds of tenants. - Replace manual infrastructure runbooks (for example, Kubernetes upgrades, Private Link setups, DR drills, cluster onboarding) with reliable automation using Infrastructure-as-Code and workflow engines. - Strengthen observability and efficiency by improving our logging, metrics, and alerting stack and using it to drive better reliability, visibility, and meaningful cloud cost reduction. - Lead customer-facing infrastructure work and incidents end to end, and turn what you learn into clear runbooks, dashboards, and Claude Skills that help both humans and AI agents operate the platform. Qualifications - 7+ years in platform engineering, infrastructure, SRE, or backend systems at a SaaS company, with high ownership, strong written/async communication, and enthusiasm for AI-native development tools. - Deep hands-on experience operating Kubernetes in production: managing clusters, upgrades, networking and RBAC, and multi-tenant concerns, not just deploying apps. - Strong GitOps and Helm experience (for example ArgoCD or similar) at meaningful scale, including dealing with sync failures, drift, chart complexity, and improving deployment safety and speed. - Production-quality infrastructure automation skills in Go or Python; familiarity with TypeScript is a plus. - Solid cloud and Infrastructure-as-Code foundation: deep experience with at least one major cloud (AWS, GCP, or Azure), and having designed, written, and reviewed substantial Terraform or Crossplane modules. - Comfort debugging end to end across GitOps pipelines, Kubernetes, and cloud provider layers when deployments or tenants are stuck. - Experience with multi-tenant SaaS infrastructure, observability stacks (logs, metrics, traces, dashboards), and practical cloud cost optimisation (for example autoscaling, instance strategy, or savings mechanisms), ideally with exposure to workflow engines such as Temporal or internal self-service / developer platform tooling. Requirements - Has led at least one major, cross-cutting infrastructure initiative end to end, such as a deployment pipeline overhaul, Kubernetes upgrade framework, multi-tenant migration, DR architecture, or cost programme, and can explain the system-level impact across reliability, cost, and developer experience. - Can walk through a Kubernetes and GitOps platform they have built or significantly evolved, and how they improved deployment safety, speed, and operability for other teams. - Has clear examples of turning manual runbooks into automation for workflows like upgrades, DR, or networking, and making these safe, repeatable, and well-documented. - Uses observability and cost signals together to drive better reliability and meaningful cloud savings, and is confident owning customer-facing infrastructure and incidents end to end. - Acts as a technical multiplier through thoughtful design docs, reviews, documentation, and tools or Claude Skills that reduce “how do I do X?” questions for the whole team. Benefits - 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 (for most roles), so your total rewards grow in step with the value you create over time. - 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. - Health & Wellness: From Day‑1 health, dental, vision, and mental health to 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. - 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.

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 About the Role Atlan is building the context layer for AI agents and applications - transforming how data platforms power the next generation of AI. We're looking for a Staff and Principal Engineer to help architect and scale the foundational data plane that makes it easy to build apps, agents, and solutions for the AI era. You'll work on systems handling billions of assets, serving 100K+ users, with 99.99% availability targets. This is a high-agency role where you'll define technical direction, drive multi-quarter initiatives, and pioneer AI-native development practices. What you will do 🤔 - Design and build platform services—APIs, infrastructure components, runtime systems, and ingestion frameworks—at enterprise scale - Architect the context store that transforms lakehouse infrastructure into AI-ready systems with multimodal capabilities (structured, unstructured, vector, graph) - Solve complex multi-tenant isolation and scaling problems for enterprise SaaS - Design data contracts governing ingestion, validation, processing, routing, storage, and serving across heterogeneous systems - Own critical shared infrastructure including lakehouse (Iceberg/Polaris), vector stores, graph databases, and OLTP systems - Drive technical standards through RFCs, architecture reviews, and documentation - Mentor senior engineers and influence architecture decisions across teams - Write production code using AI-assisted development tools (Claude Code, Cursor) - Debug distributed systems issues across Kubernetes, workflow orchestration, and microservices What makes you a match? 😍 Must Have - 8+ years in platform engineering, infrastructure, or backend systems at a SaaS company - Experience building enterprise-scale distributed systems at scale - Deep expertise in multi-tenant architectures and tenant isolation strategies - Strong Kubernetes, containerization, and cloud infrastructure skills (AWS/GCP/Azure) - Hands-on experience with distributed systems patterns—service mesh, event-driven architecture, orchestration - Track record of driving multi-quarter technical initiatives from concept through production at scale Deep Expertise in One or More - Lakehouse architectures - Vector stores - Graph databases - Streaming systems Strong to Have - Experience designing contract-driven or schema-first data platforms - Familiarity with Temporal or similar workflow orchestration systems - Data quality frameworks, observability systems, and cost attribution at scale - Experience supporting enterprise workloads with strict compliance requirements - CI/CD pipeline design and GitOps practices Who You Are - You embrace AI-native development and want to pioneer new engineering workflows - You have high agency and take ownership of ambiguous problems - You're a strong async communicator who can influence without authority - You're comfortable with fast-changing priorities in a scale-up environment - You act as a force multiplier—elevating the technical bar for those around you Team & Location (Remote) You'll join a distributed team (India/Australia/US Remote) working closely with two distinguished engineers leading the data platform charter. We operate in weekly sprints with strong emphasis on ownership, velocity, and AI-native practices. 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.

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 The Mission Atlan is on a mission to become one of the most data-driven companies in the world and to create a blueprint for how the best AI-native data teams should operate. We're hiring an AI-native Data Operations Lead to own how Atlan runs its business through data with rigor, speed and empathy. This is a hands-on role at the intersection of analytics, strategy, and AI. You'll own the data foundation that powers Atlan's operating rhythm. Working closely with the C-suite and GTM leaders, you'll ensure strategy is translated into clear metrics, real signals, and decisive action. Why This Role Matters Building the fastest learning and iterating company in the world: AI is fundamentally changing what analytics can be — moving us beyond tidy metrics to learning directly from raw signals like calls, conversations, and documents. At Atlan, we already grade sales calls, analyze support interactions, and mine unstructured data to surface the “why” behind outcomes. This role sits at the forefront of that shift, rebuilding analytics in an AI-native way so the company can learn faster, adapt sooner, and operate with exceptional clarity. Serving as a model for the most forward-thinking data teams: Atlan’s core advantage has always been empathy. We understand our users because we’ve been them. As data teams enter the AI era, even the most sophisticated teams are struggling — optimizing for existing workflows instead of designing for what’s next. We believe the only way to truly help is to live two years ahead of our customers. This role is the learning ground for real, working implementations of AI-native Data Operations. What’s proven internally shapes how we build product, guide customers, and define what “good” looks like for modern data teams. For the person in this role, that means operating at the cutting edge — shaping new practices and influencing how AI and analytics evolve across the ecosystem. What You'll Do Build and own the AI-native data pipeline and operations behind Atlan’s weekly → monthly → quarterly insight cadence, culminating in company-wide, exec and Board reporting. Translate strategic priorities (Big Rocks) into measurable outcomes and clear operational metrics and partner cross‑functionally (Sales, Marketing, CS, Growth) to unify metrics, definitions, and insights. Leverage AI and unstructured data (e.g., call intelligence, notes) to surface faster, deeper insights. Design and maintain dashboards, conversational analytics agents (we’ll learn about this evolving space together!) and data workflows across domains. Drive cross‑functional alignment through data storytelling and executive‑ready communication. What Great Looks Like The company runs on your insights to make faster, better decisions. Data‑driven rhythm established: weekly ops reviews, monthly business reviews, quarterly company-wide reporting. AI‑powered analysis embedded into the GTM engine (e.g., win/loss, pipeline health, forecast accuracy). Consistent, trusted metrics across functions; no surprises at the Board table. What We’re Looking For 7+ years of experience in data analytics, strategy, and/or business operations. Track record of building executive‑level dashboards and reporting in a sales‑led SaaS environment. Strategic thinker who can map qualitative strategy → quantitative insight → business action. Strong communicator — concise, structured, and confident with executive audiences. AI‑native mindset: comfort combining structured (e.g., Salesforce, HubSpot) and unstructured data; bonus for having built or demoed an AI agent or an autonomous workflow. Hands-on expertise in SQL, Snowflake, and modern BI (Sigma or similar). Experience collaborating with cross‑functional leads (GTM, Ops, Finance, CS). (Bonus Points!) Experience in SaaS, AI, or IoT at Series C+ stage companies. Exposure to AI‑based goal tracking or agent‑driven analysis platforms. 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.