Forward Deployed Infrastructure Engineer

United States Digital Space LLC; Greater London; On-site; GBP 103,000 - 155,000; Full time

Benefits offered by this job

Flexible PTO

Medical, dental, and vision benefits

Life insurance and disability benefits

Retirement plan dependent on country

Parental leave

Fertility and family building benefits

Lunch and snacks

Discretionary benefit stipend

Free alphorn lessons

Job summary

United States Digital Space LLC is seeking a Forward Deployed Infrastructure Engineer to own end-to-end customer deployments and shape how the AI platform is deployed across enterprise environments. You will define standards, tooling, and processes to scale deployments and collaborate across Engineering, Product, Sales, and Customer Success.

You will lead architecture conversations, manage lifecycle of deployments, and develop runbooks and automation to ensure reliable operations for enterprise

Qualifications

• 4+ years in infrastructure, DevOps, platform engineering or solutions architecture with customer deployments.
• Experience deploying in enterprise environments with security reviews and change management.

Responsibilities

• Own deployment architecture conversations and execution across customer environments.
• Manage the full infrastructure lifecycle for key customers: deployment, upgrades, scaling, incident support.
• Develop and maintain deployment runbooks, upgrade procedures, and automation tooling.
• Partner with Engineering to ensure deployability and operability across requirements.
• Collaborate with Sales/Customer Success to scope infra requirements during pre-sales/onboarding.
• Communicate with platform engineers, security, and DevOps teams to align constraints and compliance.
• Focus on upgrades, rollbacks, monitoring, and failure modes from planning through execution.

Skills

AWS

Terraform

Container orchestration

Cloud networking

Security/compliance

CI/CD

Observability

Go/GraphQL/LLM

Customer deployments

Education

Degree in Computer Science or related field

Tools

Prometheus

Grafana

Datadog

Job description

About usAt the company, we're building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.

Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding the company, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.

What You'll Do:As a Forward Deployed Infrastructure Engineer at the company, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how the company's AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage the company's AI platform infrastructure - ensuring every deployment meets their security, compliance, and operational requirements. In addition, you'll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how the company scales some of its most complex customer engagements.

• Own deployment architecture conversations and execution - designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.

• Manage the full infrastructure lifecycle for some of the company’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.

• Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.

• Partner with engineering teams to ensure the company's platform is deployable and operable across diverse customer requirements.

• Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements.

• Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans.

What You'll Bring: 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles - with significant time spent on customer-facing deployment work.

• Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing).

• Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes.

• Ability to navigate ambiguity with enterprise stakeholders - from platform engineers to CISOs - and turn infrastructure conversations into actionable deployment plans.

• Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought.

• Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams.

• Degree in Computer Science or a related field, or equivalent professional experience.

Even better: Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments.

• Past experience at an early-stage company where you built deployment operations, playbooks, and tooling.

• Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar).

• Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers.

Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.

• Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.

• Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.

• Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.

• Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.

What we offerWe want our benefits to reflect our values and offer the following to full-time employees:

• Flexible (unlimited) paid time off

• Medical, dental, and vision benefits for you and your family

• Life insurance and disability benefits

• Retirement plan dependent on country of employment

• Parental leave

• Fertility and family building benefits through Carrot

• Lunch, as well as delicious snacks and coffee to keep you energized

• Discretionary benefit stipend giving people the ability to spend where it matters most

• Free alphorn lessons

These benefits are further detailed in the company's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in the company's equity plans subject to the terms of the applicable plans and policies.

Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.