Senior Manager, Collaboration Platform Engineering

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

We're hiring a Senior Manager, Collaboration Platform Engineering to lead Nscale's collaboration and productivity platform capability as the company scales globally.

You’ll shape how Nscale uses Google Workspace, Slack, Atlassian, Notion and approved AI productivity tools. This role goes beyond administration: you'll own platform strategy, automation, governance and adoption, helping teams communicate, share knowledge and get work done.

You’ll lead a team building secure, scalable and AI-enabled collaboration platforms, partnering with business teams to turn their ways of working into practical platform improvements.

• Define and deliver the roadmap for Nscale's collaboration and productivity platforms.
• Maximise business value from Google Workspace, Slack, Atlassian, Notion and related tools.
• Establish standards for collaboration, knowledge management, workflow automation and information governance.
• Rationalise overlapping tools to reduce complexity, cost and duplication.
• Partner with business teams to understand how they work and drive adoption of approved platforms.

• Own the engineering, configuration and lifecycle of collaboration platforms.
• Keep platforms secure, reliable, scalable and integrated with identity, endpoint, security and service-management processes.
• Govern admin access, platform configuration, integrations, exceptions and significant changes.
• Manage platform health, performance, licensing, adoption and operational metrics.
• Provide escalation support for complex platform issues.

• Identify opportunities to automate manual business and Technology Operations processes.
• Build and govern automations using platform-native capabilities, APIs, scripts and workflow tooling.
• Improve joiner, mover, leaver, approval, request, reporting and collaboration workflows.
• Use platform data to improve reporting, service delivery, adoption and operational decision-making.
• Reduce manual work through practical automation without introducing unnecessary complexity.

• Drive adoption and value from approved AI productivity tools, including Gemini and other enterprise AI assistants where appropriate.
• Partner with Security, Legal and business teams to define safe, practical AI usage in collaboration, knowledge management and workflow automation.
• Identify use cases that reduce manual work, improve reporting, accelerate knowledge discovery or improve employee productivity.
• Support governance, licensing, access, training and measurement of AI productivity tools.
• Embed AI capabilities into practical workflows rather than treating them as standalone tools.

• Work with Information Security to implement platform security, access, logging and data-protection controls.
• Support audit evidence collection for SOC 2, ISO…