Senior Engineering Manager, AI Gateway

United States Digital Space LLC; Deutschland; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

United States Digital Space LLC is seeking an Engineering Manager for AI Gateway to lead a hands-on team focused on building innovative tools and infrastructures. You will set technical direction and actively contribute to building software while fostering a high-performing and inclusive team environment.

Ideal candidates will have 8+ years of relevant experience, including leadership roles in complex system development, preferably in AI and developer platforms. This position offers a unique opportunity to shape the future of AI integration.

Qualifikationen

• 8+ years of industry experience, with at least 4 years in managing software teams.
• Proven success in shipping and maintaining complex systems, preferably in AI or cloud.
• Strong technical depth; able to guide architectural discussions and unblock teams.

Aufgaben

• Lead the technical direction for AI Gateway and assist in building it.
• Create software to support the software development lifecycle for AI Gateway.
• Inspire a team to meet the fast-paced demands of the AI ecosystem.

Kenntnisse

Team leadership

Software engineering

Developer tools expertise

Recruitment and mentoring

Tools

APIs

SDKs

Dashboards

Jobbeschreibung

Available Locations: Austin, TX | Hybrid

What You'll Do

As the Engineering Manager for AI Gateway, you will lead a small, high‑velocity team building that layer. This is a deeply hands‑on role. You will be in the code, in the design docs, in customer conversations, and in the trenches with your team. We’re looking for a generative builder who can move from half‑formed idea to working prototype quickly, and bring a team along with that energy. We are obsessively agent‑pilled. We don’t just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader company agent stack relentlessly, and we expect you to as well.

In This Role, You Will

• Set the technical and product direction for AI Gateway alongside engineers and PMs, then roll up your sleeves and help build it.
• Build the software and the software that builds the software. Your team needs to build the context and toolchain that let agents help build, operate, monitor, and improve AI Gateway itself.
• Inspire and energize a team shipping at the pace the AI ecosystem demands. Provider APIs change weekly, new models drop daily, and the gap between “good idea” and “in production” is measured in days, not quarters.
• Obsess over developer experience. Every error message, SDK choice, dashboard flow, and line of docs matters. You should have strong taste about what makes developer tools feel great.
• Recruit, mentor, and grow engineers. Build a small team that punches massively above its weight.
• Partner closely with Workers AI, Agents, and the broader Developer Platform teams to deliver a unified inference layer that feels like one product.

Examples Of Desirable Skills, Knowledge And Experience

• A minimum of 8 years of relevant industry experience, including at least 4 years managing software engineering teams.
• Proven track record leading teams that have shipped and operated complex, large‑scale systems, preferably in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, or high‑scale APIs.
• Significant technical depth, with the ability to guide architectural discussions, make credible technical decisions, review designs, and unblock your team.
• Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, and internal platforms to know what makes them delightful or painful.
• Demonstrated ability to hire, coach, and develop senior engineers, and to build high‑performing, inclusive teams that ship. You care about teams and team culture.
• A hands‑on approach to leadership: you consider yourself a builder, stay close to the code, know the numbers, know the customer, and know what to build next.

Bonus Points

• Experience building AI/ML infrastructure, inference platforms, model gateways, or LLM‑powered applications.
• Experience building developer‑facing APIs or SDKs at scale.
• Hands‑on experience with proxy, edge, or gateway systems.
• You’ve built or heavily customized your own agentic dev environment: custom agents, harnesses, or tooling that changed how you ship.
• Familiarity with the current AI ecosystem: providers, model capabilities, agent frameworks, and where the rough edges are.
• A track record of writing publicly about developer tools or systems you’ve built.
• You’ve built something with AI Gateway, Workers AI, or a competing product, and have opinions about what’s missing.