Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. The role involves leading client-facing projects across cloud infrastructure, Kubernetes, and AI/data initiatives, while acting as a trusted advisor to clients and ensuring delivery excellence.
Responsibilities:
- Lead end-to-end delivery of client-facing projects across cloud infrastructure, Kubernetes, and AI/data initiatives
- Act as the primary point of contact for clients, building trust and guiding them through complex technical programs
- Translate business objectives into clear delivery plans, aligning stakeholders across client and internal teams
- Work closely with engineering teams to understand technical tradeoffs, dependencies, and risks to drive execution
- Manage delivery in iterative and evolving environments, especially for projects where scope and outcomes may develop over time
- Proactively identify risks, issues, and dependencies, and drive practical, outcome-oriented resolutions
- Ensure strong financial and commercial management of projects, including scope control, change management, and margin awareness
- Facilitate clear, concise communication across all levels, including executive stakeholders
- Contribute to account growth by identifying follow-on opportunities and helping shape new engagements
- Continuously improve delivery practices, bringing structure where needed while maintaining flexibility for innovation
Requirements:
- 5+ years of experience managing client-facing technical projects in a professional services or consulting environment
- Proven ability to lead complex, cross-functional programs with distributed teams
- Strong client presence with the ability to influence stakeholders and operate as a trusted advisor
- Solid technical fluency - you can 'speak engineering' and understand how systems are built, even if you're not hands-on
- Experience working in cloud-native environments (e.g., Kubernetes, containers, distributed systems)
- Ability to thrive in ambiguous, fast-moving environments, especially where solutions are being defined in parallel with delivery
- Strong communication, organization, and problem-solving skills
- A pragmatic, outcome-driven mindset - you focus on delivering value, not just managing tasks
- Comfort managing projects where success is iterative and hypothesis-driven, rather than fully predefined
- Experience with Kubernetes, OpenStack, or similar infrastructure platforms
- PMP or equivalent certification
- Experience with proposal development or pre-sales support
- Familiarity with modern delivery tools and agile methodologies
- Experience delivering or supporting AI/ML, data platform, or automation projects
- Familiarity with concepts such as LLMs, data pipelines, model lifecycle, or experimentation workflows
- Comfort managing projects where success is iterative and hypothesis driven, not necessarily pre-determined