Technical Product Manager

Responsibilities

• Define product vision, goals, success metrics, roadmap, and adoption strategy for internal Customer Experience products
• Own the roadmap and evolution of internal products, workflows, and operational tooling
• Drive initiatives that improve operational scalability and reduce manual overhead
• Manage the full lifecycle of feature requests: intake, triage, prioritization, solution design, rollout, and validation
• Partner with Customer Experience stakeholders to identify workflow gaps and automation opportunities
• Work closely with Engineering teams to deliver internal systems, integrations, and automations
• Improve operational visibility through dashboards, reporting, and workflow tracking
• Ensure delivered solutions are adopted in real workflows and provide measurable impact

Requirements

• 5+ years of experience in Product Management, Technical Program Management, or Operations in cloud, SaaS, or infrastructure environments
• Strong product mindset with experience building internal tools or operational platforms
• Experience working with engineering teams on technical systems and integrations
• Ability to identify operational inefficiencies and turn them into scalable solutions
• Strong organizational, analytical, and stakeholder management skills
• Experience with Jira, Confluence, and workflow management systems
• Fluent English

Preferred Qualifications

• Experience with AI/ML infrastructure or cloud platforms
• Background in Customer Experience Operations, Support Operations, or Professional Services Operations
• Experience with workflow automation and operational analytics
• Familiarity with feature request management and internal product enablement

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment.