Own the technical customer journey for enterprise compute accounts, from discovery and solution design through POCs, onboarding, production support, incident communication, and ongoing technical reviews.
Développez des fonctionnalités produit de bout en bout dans un rôle full-stack à dominante backend, en concevant des services, API et pipelines de données fiables tout en contribuant au frontend.
Build and maintain backend-focused, end-to-end product features using Python, Node.js, PostgreSQL, and MongoDB, while contributing to frontend development, data pipelines, and system architecture.
Build and maintain backend services, APIs, and data pipelines in Python and Node.js, while contributing to frontend features and shaping reliable, scalable product systems from design through production.
Leads and mentors a team building production distributed systems, shaping P2P networking, compute orchestration, and platform architecture while balancing hands-on technical ownership with people leadership.
Own and scale group accounting, consolidation, reporting, and controls across international entities, while modernizing finance operations through NetSuite, automation, and AI-enabled accounting workflows.
Own and scale distributed infrastructure across bare-metal GPU systems, Kubernetes, networking, virtualization, and multiple sites, improving reliability through automation, observability, and incident response.
Build and operate scalable ML inference infrastructure, owning production model serving, deployment pipelines, GPU performance, observability, and reliability across distributed AI systems.
Build and operate production-grade ML inference infrastructure, optimizing GPU serving for reliability, low latency, and cost efficiency while shaping scalable deployment and observability practices.
Build and operate production-grade ML inference infrastructure, from model serving and deployment pipelines to GPU optimization and observability, ensuring scalable, reliable, low-latency systems.
Own the launch and early growth of a health technology business in Japan, building local operations, developing partnerships, navigating the healthcare ecosystem, and driving execution with autonomy.
Own the reliability and evolution of Linux and Kubernetes infrastructure, leading cluster operations, network architecture, automation, observability, and incident response across distributed environments.
Own and scale distributed infrastructure across bare-metal GPU systems, Kubernetes, networking, and multiple sites, improving reliability through automation, observability, incident response, and hands-on operations.
Partner with commercial, operations, and product teams to guide financial decisions, build infrastructure investment models, and present deployment ROI and total cost of ownership to clients and partners.
Own quality and validation of GPU/HPC servers across manufacturing sites, leading hardware bring-up, stress testing, troubleshooting, and performance benchmarking in Linux-based test environments.
Build Pragmatike’s venture capital partnership channel by engaging investors and startup ecosystem leaders, developing fund-level relationships, and creating business opportunities with portfolio companies.
Build recruiting systems from scratch and lead technical and cross-functional hiring, partnering with founders, product, and engineering to attract talent and shape hiring practices.
Build and refine the outbound sales engine by prospecting startup founders, CTOs, and hiring leaders, generating new business opportunities, and shaping outreach strategy alongside the founders.
Leads and develops an AI engineering team, setting technical direction and delivering AI product capabilities and production inference infrastructure with a focus on reliability, performance, and scale.
Lead and grow an AI engineering team, owning delivery and roadmap for AI product features and production inference infrastructure while setting technical direction, engineering standards, and cross-team priorities.
Lead and grow an AI engineering team, set technical direction, and deliver AI product features and production inference infrastructure, balancing people leadership with hands-on technical guidance.
Lead and grow an AI engineering team, set technical direction, and deliver AI product capabilities and production inference infrastructure, balancing people leadership with hands-on technical guidance.
Build and improve an outbound sales engine by prospecting startup leaders, creating new business opportunities, managing a pipeline, and shaping sales strategy alongside the founders.
Build recruiting systems from scratch and lead technical and cross-functional hiring, partnering with founders and product and engineering to attract talent and shape the candidate experience.
Page 2 · 48 results
