Senior Technical Account Manager, AI/ML

🕒 June 3

🤠 Texas – Remote

🤠 Texas – Remote

💵 $140.8k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍🔧 Technical Account Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 29%

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

• Develop and maintain deep expertise in the DigitalOcean product portfolio and evolving cloud ecosystem • Design, diagram, and plan infrastructure architectures tailored to customer use cases • Conduct technical consultation sessions and workshops • Maintain cloud infrastructure best practices and relevant certifications/coursework • Manage and maintain DigitalOcean’s key accounts • Drive customer engagement, retention, and expansion of DigitalOcean workloads • Conduct QBRs with key accounts and align future growth strategies • Identify cost reduction and performance optimization opportunities • Collaborate with Engineering, Marketing, and Account Managers • Monitor customer usage trends, identify risks, and uncover growth opportunities • Represent customer needs in product development and support processes • Liaise with Engineering and Support to resolve escalations and technical challenges • Deliver presentations explaining DigitalOcean offerings • Contribute to technical documentation and provide training to teams and partners • Develop tools and scripts to improve Technical Account Management efficiency • Stay current with industry trends and enhance customer engagement strategies

🎯 Requirements

• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation • Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go) • Understanding of provisioning and deployment strategies, with knowledge of Terraform, Ansible, and Docker • Proficiency with at least one major cloud platform: AWS, Google Cloud Platform, or Azure • Proven track record of successfully troubleshooting technical problems • Familiarity with Git, SQL, basic database administration, CI/CD tools, and AI/ML infrastructure principles • Passion for delivering exceptional customer experiences and building technical solutions aligned with business goals • Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations • Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth • Experience advocating for customer needs and translating feedback into actionable insights • Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences • Ability to create and deliver technical presentations and training sessions • Self-starter with a passion for technology and open-source projects • Extra credit for experience in Technical Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments • Cloud certifications and NVIDIA certifications for GPU and AI/ML are extra credit • Experience with networking, automation tools, virtualization, and databases is extra credit • Familiarity with Docker, Kubernetes, and DigitalOcean’s API is extra credit • Linux certifications are extra credit • Experience working with Gainsight and Salesforce is extra credit

🏖️ Benefits

• Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses • Employee Assistance Program • Local Employee Meetups • Flexible time off policy • Bonus eligibility based on company and individual performance • Equity compensation, including equity grants upon hire • Option to participate in the Employee Stock Purchase Program