Sr. Manager, Software Engineering - Applied AI
Skills
- Leadership of high-performing software engineering teams including Staff-level engineers.
- Experience in building and scaling distributed systems and SaaS products.
- Expertise in infrastructure, platform, DevOps, SRE, and cloud technologies including Kubernetes.
- Hands-on experience with AI-enabled applications, LLMs, vector databases, and RAG techniques.
- Strong communication skills with technical and non-technical audiences.
- Proven ability to lead cross-functional initiatives in fast-paced environments.
Responsibilities
- Translate company priorities into clear team objectives and strategic execution.
- Lead end-to-end engineering hiring practices focusing on quality and equity.
- Manage day-to-day team operations, balancing structure with empathy.
- Cultivate an engineering culture of ownership, collaboration, and growth.
- Champion AI-first tools and workflows to enhance software design and delivery.
- Build strong cross-functional partnerships for alignment and execution.
- Drive adoption of agile methodologies like Kanban and Scrumban.
Education
- Bachelor’s degree in Computer Science, Engineering, or related technical field preferably.
- Equivalent industry experience is also acceptable.
Benefits
- Competitive compensation and equity package.
- Comprehensive healthcare coverage.
- Flexible work environment with adaptable hours and flexible PTO.
- Supportive and inclusive culture with a focus on growth and community.
Average salary estimate
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