3 часа назад
Senior Engineering Manager (AI)
260 000 - 310 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineering Manager (AI): Leading delivery of the core AI-native requirements platform while managing engineers and remaining hands-on with coding, architecture, and enterprise customer execution. with an accent on agentic workflows, LLM-powered features, and scalable cloud services. Focus on building engineering practices, shipping reliable software for hardware companies, and shaping how AI is integrated into complex systems and requirements workflows.
Location: San Francisco, United States; on-site
Salary: $260,000–$310,000 per year plus equity
Company
develops an AI-native requirements platform that helps modern engineering organizations design, validate, and evolve complex systems.
What you will do
- Manage and grow an engineering team, including onboarding, feedback, and career development.
- Own product execution from customer scoping through shipping, measurement, and iteration.
- Review code, make architecture decisions, and contribute hands-on when projects require it.
- Establish engineering best practices and help build the engineering organization.
- Work directly with systems and requirements engineers at hardware companies.
- Shape AI product direction with engineers building agentic workflows and LLM-powered features.
Requirements
- 8+ years of experience developing production software, including designing, testing, and operating cloud services at scale.
- 2+ years of experience managing engineers, preferably in an early-stage or low-process environment.
- Experience shipping software relied on by enterprise customers.
- Current hands-on coding experience.
- Strong direct communication and the ability to give difficult feedback.
- Comfort working in a high-ownership, fast-paced environment focused on experimentation and iteration.
Nice to have
- Experience in aerospace, defense, automotive, or another regulated hardware domain.
- Experience with requirements, ALM, PLM, or systems engineering tools.
- Experience managing production teams building LLM-powered or agentic features.
Culture & Benefits
- On-site collaboration in San Francisco.
- High-ownership environment with rapid experimentation and iteration.
- Equity included in the compensation package.
- Technology stack includes TypeScript, Node, Python, LLM APIs, orchestration libraries, Postgres, and managed cloud services.
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