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kubernetes machine learning ai model deployment containerization📋 Description
- Build and scale the Professional Services Practice
- Design reference architectures and success patterns to accelerate adoption
- Create repeatable, monetizable instruments (SOWs, training programs, premium add-ons) scalable across customers
- Collaborate with product, marketing, and revenue teams to integrate services into GTM
- Identify offerings that drive expansion, renewals, and long-term value
- Support partnerships and alliances in enabling service delivery partners
🎯 Requirements
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm
- Deep technical expertise in containerization, container and software supply chain security practices, Kubernetes, SDLC architectures, and enterprise-scale environments
- Excellent facilitation and stakeholder management to lead exec-level architecture conversations and influence senior stakeholders without formal authority
- Hands-on experience with AI/ML workflows, model deployment, and agentic AI deployment in enterprise environments
- Direct experience delivering high quality services engagements that deliver customer value while also delivering revenue and ARR growth
- Technical training development experience (workshops, certification programs, digital learning)
🎁 Benefits
- Freedom & flexibility; fit your work around your life
- 16 weeks of paid Parental leave
- Technology stipend of $100 net/month
- Equity; all employees share in company success
- Remote-first culture, with offices in Seattle and Paris
- Medical benefits, retirement and holidays vary by country
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