10 часов назад
Decision Engineering Team Lead (AI)
269 000 - 335 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Decision Engineering Team Lead (AI) (Go/Python/TypeScript/LLM agents): Building AI-powered tools and decision systems for infrastructure development and delivery workflows with an accent on technical leadership, production software, and measurable productivity gains. Focus on designing shared AI infrastructure, shipping agentic tools, reviewing architecture, and growing a team of Decision Engineers while remaining hands-on.
Location: On-site in New York, NY; Austin, TX; San Francisco, CA; or Seattle, WA
Salary: $269,000–$335,000 base salary per year, plus equity
Company
builds and operates large-scale compute infrastructure for AI, including power acquisition, data center development, and hardware and software operations.
What you will do
- Lead a small team of Decision Engineers, set technical direction, and maintain a high delivery standard.
- Build and ship AI-powered tools and agents for infrastructure development and delivery workflows.
- Identify high-impact AI augmentation opportunities and deliver tools with measurable productivity gains.
- Design and maintain shared AI infrastructure, including AGENTS.md, SKILLS.md, and reusable organizational skills.
- Develop engineers through technical reviews, guidance, and hiring.
- Partner with team and functional leadership to translate business goals into an AI tooling roadmap.
Requirements
- 7+ years of software engineering experience, including 2+ years leading a team while continuing to code.
- Experience shipping production systems and internal tools relied on by operational teams.
- Production-grade experience with Go, Python, and TypeScript, plus strong full-stack web application development using React, Next.js, or similar frameworks.
- Hands-on experience with LLM APIs, MCP servers, and agentic frameworks.
- Deep understanding of AI coding agents, including Claude Code and Cursor, and the surrounding agent frameworks.
- Technical depth for architecture reviews, unblocking engineers, roadmap ownership, and communication with non-technical stakeholders.
Nice to have
- Experience at a fast-scaling automation, robotics, or infrastructure software company.
Culture & Benefits
- Competitive total compensation including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
- Commitment to pay equity and compensation transparency.
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