Engineering Manager, Foundation Model Inference (FMAPI)

United States Digital Space LLC; Mountain View (CA); On-site; USD 190,000 - 261,250; Full time

Job summary

United States Digital Space LLC in Mountain View, CA is seeking an Engineering Manager for the Foundation Model Inference (FMAPI) team. You will lead a group of infrastructure engineers focused on large‑scale inference workloads, partner with product leadership, and drive multi‑quarter initiatives with quality and reliability.

This role requires proven leadership of software teams, strong judgment in distributed systems, and a track record of shipping complex projects.

Qualifications

• Experience managing and growing high‑performing software engineering teams.
• Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large‑scale backend services.
• Track record of delivering complex, multi‑quarter engineering initiatives with high quality and predictable execution.
• Experience partnering with product management to translate customer needs into roadmaps and shipped outcomes.

Responsibilities

• Lead and grow a team of infrastructure engineers within Foundation Model Inference (FMAPI).
• Shape the roadmap for real‑time and batch inference capabilities.
• Partner with product and engineering leadership to ensure reliability and service health.
• Uphold architectural and operational excellence while developing top talent.

Skills

Leadership

Distributed systems

AI/ML infrastructure

Roadmapping & execution

Education

BS in CS

Job description

Engineering Manager, Foundation Model Inference (FMAPI)

RDQ427R519

At the company, we are driven by a passion to empower data teams in tackling the world's most challenging problems — from revolutionizing transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to leverage deep data insights for transformative business improvements. If you are passionate about advancing data and AI technologies and are eager to lead a cutting‑edge product to success, we invite you to join our dynamic team at the company.

The Foundation Model Inference team is the backbone of the company’s generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise‑grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads.

The company is looking for an Engineering leader to lead part of our Foundation Model Inference organization. We are seeking a leader who can build strong teams, uphold a high technical bar, and drive execution on large multi‑quarter initiatives in a fast‑moving AI infrastructure environment.

The impact you will have

• Lead and grow a team of talented, product‑minded infrastructure engineers working on the company Foundation Model Inference and Foundation Model API; the team owns the systems powering large‑scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self‑hosted models (Qwen, GPT‑OSS, Llama).
• Help shape the roadmap for products spanning real‑time inference, provisioned throughput, and batch inference use cases.
• Partner closely with product and engineering leadership to deliver the right capabilities with strong reliability, quality, and service health.
• Build an inclusive, high‑performing team that attracts, develops, and retains exceptional engineers.
• Maintain a deep understanding of your team’s technical area and uphold a strong bar for architecture, implementation quality, and operational excellence.

What we look for

• Experience managing and growing high‑performing software engineering teams.
• Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large‑scale backend services, with the ability to maintain quality even in areas you have not worked on personally.
• A track record of delivering complex, multi‑quarter engineering initiatives with high quality and predictable execution.
• Experience partnering effectively with product management and peer engineering teams to translate customer and business needs into roadmaps and shipped outcomes.
• Operational rigor, including experience with service health, incident response, postmortems, and continuous improvement.
• Excellent communication, coaching, and hiring skills.
• BS in Computer Science or related field.

Pay Range Transparency

The company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, the company anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Zone 1 Pay Range

$190,000 — $261,250 USD

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.