8 дней назад
Manager, Engineering (AI)
140 500 - 236 826$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Engineering (AI): Leading the technical development, architecture, and reliability of enterprise-grade identity security products built on cloud-native, event-driven microservices in AWS with an accent on software delivery, distributed systems, and engineering team development. Focus on owning engineering roadmaps, resource allocation, risk mitigation, architectural reviews, and AI-assisted development practices.
Location: United States; remote role with an in-person interview required
Salary: $140,500–$236,826 USD base salary for US-based employees; compensation varies by employment location and role.
Company
develops an AI-powered identity security platform for human and non-human identities, with a focus on zero-standing privilege, contextualized risk, and secure cloud-scale operations.
What you will do
- Lead a high-performing software engineering team responsible for core products.
- Own software design, code quality, delivery, operational excellence, and continuous improvement.
- Translate product vision into engineering roadmaps with Product Management and architecture leads.
- Manage resource allocation, sprint planning, delivery metrics, and risk mitigation.
- Drive architectural reviews, process optimization, and engineering initiatives across the organization.
- Coach engineers, establish career development frameworks, and support promotion readiness and retention.
Requirements
- Bachelor's degree in a related field or equivalent professional experience.
- 8+ years of professional software engineering experience, including cloud-scale systems.
- 3+ years of experience building, leading, and managing software engineering teams.
- Technical background in Java, distributed systems, event-driven microservices architecture, and AWS.
- Experience delivering software in an Agile/Scrum environment and developing technical talent.
- US-based availability and participation in an in-person interview are required.
Nice to have
- Experience with AI-assisted engineering, prompting, agentic workflows, and human-in-the-loop review.
- Experience with Cursor, Claude Code, scikit-learn, pandas, numpy, PyTorch, LLMs, foundation models, Bedrock, or Vertex AI.
Culture & Benefits
- Collaborative engineering organization working on enterprise-grade, cloud-native products.
- Medical, dental, and vision insurance, disability coverage, life insurance, and AD&D coverage.
- 401(k) plan with company matching, HSA employer contribution, and flexible spending accounts.
- Flexible vacation policy, eight paid holidays, sick leave, and paid parental leave.
- Employee assistance resources and optional legal, critical illness, accident, hospital indemnity, and pet insurance.
- Potential eligibility for a corporate or role-specific bonus, commission, and equity participation.
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