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Lead design and implementation of enterprise platform features: operate Kubernetes, build controllers, architect and deploy secure air-gapped systems, drive customer implementations end-to-end, mentor engineers, and ensure platform reliability for mission-critical deployments.

Lead and build the product marketing function for an AI/data platform: define positioning, run GTM launches, enable sales with toolkits, own competitive intelligence, drive demand and analyst relations, create technical content, gather customer insights, and hire and mentor a small PMM team to scale.

Drive revenue expansion and new customer acquisition by prospecting, owning the full sales cycle, building C-level relationships, and collaborating with engineering to deliver tailored data/AI solutions to mid-market and enterprise customers in regulated industries.

Own deployment lifecycle of Shakudo in customer Kubernetes environments: design architectures, develop and troubleshoot Helm charts, operate across cloud and on-prem clusters, improve automation and observability, resolve production incidents, advise customers, and translate recurring issues into product/platform improvements.

The Senior Engagement Manager will drive customer success by managing end-to-end engagements, ensuring project delivery, prioritizing work, and establishing strong stakeholder relationships.

The Account Executive will drive revenue by engaging mid-market and enterprise businesses in data-sensitive sectors, managing the sales process, and building relationships with C-level stakeholders.

Drive customer success in AI adoption by managing complex engagements, collaborating with technical teams, and communicating effectively with stakeholders.

As a Business Development Representative at Shakudo, you will lead outbound efforts to generate opportunities and expand market presence in SMBs and enterprises.

As a Forward Deployed Engineer, you'll engage customers to understand their workflows and design data and AI solutions for production, focusing on successful outcomes and integrating systems into their operations.

Operate and maintain production infrastructure and internal services, including DGX/GPU clusters, bare-metal Kubernetes servers, CI/CD pipelines, and the customer-facing AI Gateway. Drive reliability, security hardening, observability, and DevOps best practices; contribute to product hardening and roadmap. Ensure uptime for internal and customer-facing systems.