ClearML

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Senior Systems Engineer to own the execution layer of the ClearML platform. You will be responsible for some of the critical components that spin up containers, manage GPUs, and tunnel connections that make ClearML work seamlessly in multiple environments. This role sits at the intersection of Software Engineering and DevOps. You will write Python code that orchestrates infrastructure, manages Docker containers, interacts with the Kubernetes API, and handles low-level networking. - Agent Development: Design and optimize the clearml-agent, a Python service responsible for pulling jobs, setting up environments, and executing ML pipelines. - Kubernetes Integration: Write logic to interact directly with K8s APIs, manage Pod life-cycles, and handle Custom Resource Definitions (CRDs). - Resource Management: Implement logic for dynamic resource allocation (GPU/CPU/Memory) and container orchestration. - Systems Programming: Build robust daemons and services that interact with OS-level primitives (systemd, signals, I/O streams). - Networking: Troubleshoot and optimize TCP/IP connections, DNS resolution, and firewall traversal to ensure seamless connectivity for users. Qualifications - 8+ years of development experience with a strong focus on Systems Programming. - Kubernetes Mastery: Deep understanding of Kubernetes architecture (beyond just writing YAML). You should know how to write code that controls K8s. - Container Internals: Extensive experience with Docker, including building and maintaining images. - Python for Systems: Experience using Python for automation, daemons, or CLI tools (using libraries like subprocess, socket, asyncio). - Networking Fundamentals: Strong grasp of HTTP/S, WebSockets, TCP/IP, Proxies, and Reverse Proxies. - OS Knowledge: Strong understanding of Linux internals and shell scripting. Requirements - Experience with GPU hardware management (NVIDIA drivers, CUDA, NVIDIA Container Toolkit). - Experience building Kubernetes Operators/Controllers (using Kopf or Operator SDK). - Background in HPC (High-Performance Computing) or Slurm/MPI. - Experience with Go (Golang) is a plus (for specific K8s components). Benefits - Fully Remote & Global – Work from anywhere with a distributed team of top-tier engineers. - Engineering-First & Autonomous – High ownership, real responsibility, and freedom to design and ship impactful solutions. - High Growth, High Impact – Your work directly affects thousands of users, from startups to large enterprises. - Technically Deep Challenges – Build complex, performance-critical systems at the core of modern AI infrastructure. - Fast Feedback, Real Users – See your work in production quickly and make a measurable difference.

About the company At ClearML, our mission is to make infrastructure management effortless across every phase of the AI lifecycle - from building and training AI models to large-scale production. Trusted by more than 2,000 organizations, AI builders and IT teams use our AI infrastructure platform to power everything from early-stage R&D to mission-critical public sector and enterprise-grade AI pipelines. We’re growing quickly and looking for curious, self-driven individuals who are excited to shape the future of AI and the infrastructure that powers it. Our customers are tackling some of the world’s most important challenges -revolutionizing healthcare, discovering new medicines, securing global finance, protecting national security, and preserving our planet’s ecosystems. About the role We’re looking for a Director of Product Marketing to tell ClearML’s story to educate the market. This is a strategic and executional role: you’ll define how we position the platform, map and influence the buyer journey and build the content engine that carries our message to the right audiences at the right moments. You’ll operate at the intersection of AI infrastructure, market strategy, and high-quality content, shaping narratives that resonate with infrastructure admins and IT leaders.   You’ll develop the product marketing scaffolding that gives our content effort direction - buyer journey maps, ICP frameworks, positioning, and sales enablement architecture, and then drive execution against it. That means building and running a repeatable content flywheel that transforms technical SME inputs into polished, audience-ready assets, owning an industry monitoring cadence that lets us move quickly on market moments, and making sure every piece of content we produce has a clear buyer purpose.   This role is roughly 70% strategy and execution across product marketing and content operations, and 30% hands-on writing of the highest-impact content yourself. What You’ll Do Product Marketing, Positioning & GTM Strategy - Develop product positioning and messaging: define how ClearML is framed in the market, what differentiates us from alternatives, and how our value maps to the specific challenges of platform engineers, IT leaders, and infrastructure decision-makers. - Build and maintain a buyer journey map — from awareness through POC to purchase — defining ICPs, personas, purchasing committee members, and the specific content and channels that influence each stage. Use this framework as the strategic backbone for all content prioritization decisions. - Own market intelligence: lead a weekly review with marketing, product, and leadership to monitor the latest AI hype-cycles, ecosystem announcements, and competitive moves. Quickly synthesize the signal, find ClearML’s angle, and activate a timely response — blog post, social, or both. Relevance has a short shelf life. - Develop a brand awareness strategy targeted at IT leaders. Produce 3-4 high-impact thought leadership pieces (CXO guides, industry surveys, executive white papers) a year, targeting senior buyers who factor brand reputation into purchasing decisions rather than rely solely on technical evaluation. - Translate positioning into a full suite of market-facing assets that address key use cases across the funnel: solution briefs, thought leadership articles, white papers, platform narratives, executive blog posts, and case studies. - Produce partner-ready channel enablement content — joint solution briefs, co-branded data sheets, technical assets for distribution through channel partners (OEMs, distributors, VARs) so sales reps are equipped to position ClearML effectively in the field. - Partner with Product and Sales to ensure messaging reflects real buyer needs, addresses objections at every stage, and supports active deal cycles. - Serve as an internal authority on AI market dynamics and how ClearML fits within them, contributing to go-to-market strategy at a senior level.   GTM Narrative, Strategy & Execution - Build, operate, and own the technical content flywheel: systematically intake SME-generated material (release notes, video scripts, technical guides, lab validations) and convert it into the right market-facing format: blog post, data sheet, solution brief, or channel asset. Exercise strong editorial judgment about format and purpose. - Build and maintain a content architecture: develop a taxonomy and tagging system organized by audience (platform engineer, IT practitioner, C-level executive) and topic so content is discoverable, filterable, and useful to sales at the right moment in a deal cycle. - Own sales content enablement: alert sales when new assets become available, maintain a central organized repository, and ensure reps can quickly surface the right material during active conversations. - Build and maintain an integrated content calendar aligned to the product roadmap, market moments, and industry events with the appropriate resources for execution. - Direct a team of technical marketing writers and engineers for content production: provide strategically grounded briefs, clear direction, and substantive feedback to ensure technical accuracy and quality. - Own the content review and approval process, coordinating across marketing, product, and technical stakeholders to keep content accurate, compelling, and on brand. - Track content performance and use data to refine strategy, doubling down on formats and topics that move the needle with target audiences.

• We’re looking for a Director of Product Marketing to tell ClearML’s story to educate the market. • This is a strategic and executional role: you’ll define how we position the platform, map and influence the buyer journey and build the content engine that carries our message to the right audiences at the right moments. • You’ll operate at the intersection of AI infrastructure, market strategy, and high-quality content, shaping narratives that resonate with infrastructure admins and IT leaders. • You’ll develop the product marketing scaffolding that gives our content effort direction - buyer journey maps, ICP frameworks, positioning, and sales enablement architecture, and then drive execution against it. • That means building and running a repeatable content flywheel that transforms technical SME inputs into polished, audience-ready assets, owning an industry monitoring cadence that lets us move quickly on market moments, and making sure every piece of content we produce has a clear buyer purpose. • This role is roughly 70% strategy and execution across product marketing and content operations, and 30% hands-on writing of the highest-impact content yourself.

• Agent Development: Design and optimize the clearml-agent, a Python service responsible for pulling jobs, setting up environments, and executing ML pipelines. • Kubernetes Integration: Write logic to interact directly with K8s APIs, manage Pod life-cycles, and handle Custom Resource Definitions (CRDs). • Resource Management: Implement logic for dynamic resource allocation (GPU/CPU/Memory) and container orchestration. • Systems Programming: Build robust daemons and services that interact with OS-level primitives (systemd, signals, I/O streams). • Networking: Troubleshoot and optimize TCP/IP connections, DNS resolution, and firewall traversal to ensure seamless connectivity for users.