Nscale

Technology

CustomerSupportOperationsStrategist

$85–125k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Customer Support Operations Strategist at Nscale. Skills: Operational analytics, Reporting frameworks, KPI management, Data analysis. Lead development of operational analytics. Manage reporting function”

What You'll Achieve.

Improve decision-making; Optimize support investments; Strengthen customer outcomes; Enable proactive operational management; Enable faster risk identification; Enable faster inefficiency identification; Enable data-driven decision-making; Improve reliability; Improve scalability; Improve support efficiency; Improve customer outcomes; Reduce manual effort

Industry & Context.

Technology
Problems you'll solve

Problem solving; Insight generation; Analytical thinking; Root cause analysis

What They're Looking For.

Must Have

5+ years experience, Experience with Jira, Experience with ServiceNow, Experience with monitoring systems, Experience with internal tooling, Experience with JQL, Experience with dashboards, Experience with filters, Experience with automation workflows, Experience with data integration, Experience with large operational datasets, Experience with multiple data sources, Familiarity with ITIL practices, Familiarity with service operations metrics, Familiarity with infrastructure support models

Nice to Have

Understanding of cloud infrastructure operations, Understanding of observability, Understanding of reliability metrics

What You'll Do.

Lead development of operational analytics

Manage reporting function

Deliver predictive intelligence

Partner with Support Leadership

Partner with Engineering

Partner with Datacenter Operations

Partner with Customer Success

Operationalize dashboards

Define reporting frameworks

Operationalize reporting frameworks

Measure service performance

Measure infrastructure reliability

Measure customer experience

Measure operational efficiency

Transform operational data

Improve decision-making

Optimize support investments

Strengthen customer outcomes

Establish reporting and analytics function

Enable proactive operational management

Enable faster risk identification

Enable faster inefficiency identification

Enable data-driven decision-making

Design operational dashboards

Build operational dashboards

Maintain operational dashboards

Design reporting frameworks

Build reporting frameworks

Maintain reporting frameworks

Develop executive reporting

Develop operational reporting

Develop customer-facing reporting

Communicate service performance

Communicate SLA/SLO adherence

Communicate reliability trends

Communicate operational health

Communicate customer experience metrics

Create scalable visualizations

Standardize KPI definitions

Standardize reporting structures

Standardize measurement methodologies

Define operational KPIs

Track operational KPIs

Evolve operational KPIs

Ensure data integrity

Ensure data consistency

Ensure data governance

Establish metric ownership

Establish refresh cadences

Establish reporting standards

Partner with leadership

Mature operational measurement frameworks

Analyze operational data

Analyze infrastructure data

Identify inefficiencies

Identify optimization opportunities

Deliver actionable recommendations

Improve support efficiency

Improve customer outcomes

Conduct deep-dive analyses

Analyze recurring incidents

Analyze performance degradation

Analyze operational bottlenecks

Support Problem Management

Support RCA initiatives

Provide predictive guidance

Plan support capacity

Plan operational scaling

Leverage Jira reporting capabilities

Develop automated pipelines

Integrate operational data sources

Improve reporting automation

Improve self-service analytics

Align on reporting requirements

Align on operational priorities

Tailor reporting outputs

Support leadership reviews

Support operational business reviews

Support executive presentations

Establish operational reporting governance

How You'll Work.

Team & Collaboration

Support Leadership; Engineering; Datacenter Operations; Customer Success; Customer-facing teams; Cross-functional teams

Communication Scope

Executive presentations; Data-driven storytelling

Full Job Description

. About Nscale 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. Customer Support Operations Strategist Role Overview The Customer Support Operations Strategist will lead the development and management of Nscale’s operational analytics and reporting function, delivering the visibility, insights, and predictive intelligence required to scale a high-performance AI Infrastructure organization. This role partners closely with Support Leadership, Engineering, Datacenter Operations, and Customer Success teams to define and operationalize KPIs, dashboards, and reporting frameworks that measure service performance, infrastructure reliability, customer experience, and operational efficiency. The successful candidate will transform operational data from platforms such as Jira, ServiceNow, monitoring systems, and internal tooling into actionable insights that improve decision-making, optimize support investments, and strengthen customer outcomes. As Nscale’s AI Infrastructure organization scales, there is a growing need for a centralized operations analytics capability that can consistently deliver reporting and insights across three critical stakeholder groups: Operational metrics for internal support management Exe

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