Senior Customer Success Manager (AI Cloud)

Location: San Francisco, California, US

Company

hirify.global Technologies develops and operates energy-efficient AI infrastructure and hirify.global AI Cloud, a large-scale GPU cloud platform for training and deploying AI models.

What you will do

• Own the end-to-end lifecycle for a portfolio of strategic enterprise customers, from onboarding and migration through hypercare, go-live, retention, and expansion.
• Design and run implementation programs covering environment setup, access and security alignment, data and workload migration, cutover planning, and validation.
• Coordinate delivery across project management, engineering, support, SRE, and architecture teams to remove blockers and manage escalations.
• Provide high-touch engagement during early workloads through proactive monitoring, customer check-ins, incident management, and governance.
• Lead optimisation reviews using cost, performance, utilisation, data-flow, health-score, and revenue metrics to improve adoption and identify growth opportunities.

Requirements

• Experience in B2B SaaS or infrastructure in customer success, account management, technical account management, professional services, or a similar client-facing role with commercial accountability.
• Strong commercial acumen and stakeholder management skills across operational users, senior executives, and procurement.
• Technical literacy in cloud, APIs, data, and AI/ML fundamentals, with the ability to translate between business outcomes and technical implications.
• Excellent communication, facilitation, presentation, QBR, SLA reporting, and executive update skills.
• Strong analytical, problem-solving, organisational, and project-management capabilities for managing multiple accounts and cross-functional workstreams.

Culture & Benefits

• Founder-led environment with fast decision-making, accessible leaders, and minimal bureaucracy.
• Early ownership and direct responsibility for business outcomes.
• Opportunity to work with experts in AI infrastructure, energy systems, and next-generation compute.
• Work focused on sustainable AI infrastructure designed to support the energy grid and surrounding communities.