Technical Account Manager - UK

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 200,000; Full time

Job summary

United States Digital Space LLC is seeking a Technical Account Manager to partner with strategic clients, articulate engagement plans, and drive architectural guidance across AI platforms. You’ll work with cloud, Kubernetes, and data ecosystems while ensuring secure, scalable, and optimized deployments.

The role emphasizes strong communication, post-sales support, and hands-on problem solving in a hybrid work environment.

Qualifications

• 7+ years of experience in a customer-facing technical role.
• Native or bilingual proficiency in English.
• Strong communication and client relationship skills.
• Experience supporting both pre- and post-sales engagements.
• Proficiency in Linux system administration, including networking.
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning.
• Familiarity with the Hadoop and/or Spark ecosystems.

Responsibilities

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including: the company platform architecture and deployment, platform operations and upgrades, best practices for platform usage, security, data management, and compute resources, ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving the company, such as edge computing, deep learning, and MLOps

Skills

Cloud platforms

Kubernetes

Linux administration

Identity management

Pre/post-sales support

English proficiency

Client communication

Hadoop/Spark familiarity

Tools

LDAP

Kerberos

Active Directory

IAM

Job description

the company is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, the company connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on the company to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the the company blog, LinkedIn, X, and YouTube.

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands‑on support across a range of areas, including:

• the company platform architecture and deployment
• Platform operations and upgrades
• Best practices for platform usage
• Security, data management, and compute resources
• ML-Ops, monitoring, and scaling strategies

• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long‑term technical strategy.
• Explore and support advanced use cases involving the company, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer‑facing technical role
• Native or bilingual proficiency in English
• Strong communication and client relationship skills
• Experience supporting both pre‑ and post‑sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands‑on experience with cloud platforms (AWS, Azure, GCP)
• Hands‑on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML‑Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Customer‑facing situational peer interview
• Final Interview with the VP Field Engineering

#LI-JR1#L1-AH1

What are you waiting for!

At the company, you'll be part of a journey to shape the ever‑evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to the company! And if you’d like to learn even more about working here, you can visit our the company LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. the company also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [e-mail]