Manager, Customer Success Engineering

🕒 April 13

🏄 California – Remote

🏄 California – Remote

💵 $125k - $153k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍🔧 Technical Customer Success Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DigitalOcean

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

☁️ SaaS

SaaS • Cloud Computing

DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.

📋 Description

• Lead, hire, train, mentor, and develop a high-performing team • Establish performance metrics and conduct regular 1:1s, performance reviews, and career development planning • Own end-to-end support operations, including queue management • Drive improvements in key support metrics such as CSAT and response times • Act as the ultimate point of technical escalation for enterprise customers

🎯 Requirements

• 5+ years of experience in Technical Support, Customer Success, or Technical Account Management • 2+ years of people management experience • Solid understanding of AI/ML concepts • Deep familiarity with GPU infrastructure and AI inference workloads • Proficiency in reading and debugging code (Python preferred) • Excellent verbal and written communication skills

🏖️ Benefits

• Competitive salary • Bonuses based on performance • Equity compensation options • Employee Assistance Program • Flexible time off policy • Reimbursement for conferences, training, and education • Access to LinkedIn Learning courses