Forward-Deployed AI Engineering Manager (Hybrid)

SB Energy; San Francisco (CA); Hybrid; USD 140,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401(k) with company match

Paid time off + holidays

Parental leave

Wellness benefits

Hybrid work arrangements

Phone/internet/data reimbursement

Device purchase support

Job summary

SB Energy in San Francisco, CA seeks a hands-on Manager - Forward-Deployed AI Engineering to build practical AI systems that teams rely on daily. You will partner with domain experts, ship reliable software on Azure, and own delivery from prototype to deployment.

The role requires Codex fluency, strong Python/TypeScript skills, and experience with MCP tool calling, authentication, and observability across services. Travel up to 10% may be required.

Qualifications

• Bachelor's degree in a technical field required; Master's/PhD preferred.
• 5–8+ years in data center engineering, energy infrastructure, or enterprise AI.
• Proven ability to build, deploy, debug, and maintain software with shipped work.
• Strong coding in Python/TypeScript with APIs, Git, testing, and integration.
• Deep Codex fluency for structuring tasks and repo context; code review skills.
• Hands-on Azure experience delivering apps or integrations with secure practices.
• Experience with MCP, tool calling, retrieval, and AI integration patterns.
• Curiosity, persistence, and ability to work with technical and non-technical stakeholders.

Responsibilities

• Use Codex to create reusable, personalized skills, plugins, and agents.
• Connect approved systems and data through APIs with MCP tools.
• Deploy Azure solutions with identity, secrets, and networking practices.
• Test tasks and trace issues across code, data, model behavior, and integrations.
• Use Codex to explore repos, implement features, and review code.
• Write and maintain applications, services, and data workflows.
• Launch with users and drive adoption with guides and training.
• Learn workflows and turn requests into practical scope with business owner.
• Measure quality, cycle time, and adoption; report outcomes.

Skills

Python

TypeScript

Codex

Azure

APIs

Git

Testing

Data engineering

AI integration

Education

Bachelor's degree in Computer Science or related

Master's or PhD preferred

Tools

Azure

MCP

Codex tooling

Job description

SB Energy in San Francisco, CA seeks a hands-on Manager - Forward-Deployed AI Engineering to build practical AI systems that teams rely on daily. You will partner with domain experts, ship reliable software on Azure, and own delivery from prototype to deployment.

The role requires Codex fluency, strong Python/TypeScript skills, and experience with MCP tool calling, authentication, and observability across services. Travel up to 10% may be required.