8 days ago
Base Salary
$210k - $284k/yr
Responsibilities
- Advise generative AI startups on architectures and technology decisions across their business lifecycle.
- Help customers develop, train, tune, and deploy generative AI foundation models at scale using AWS technology.
- Design scalable, reliable, and secure solutions and support adoption of appropriate AWS services.
- Communicate customer needs to AWS engineering and product teams to influence platform and service roadmaps.
- Build technical relationships across the startup ecosystem, including accelerators, incubators, and venture capital firms.
- Create technical content and present at events to share knowledge with the broader startup community.
Requirements
- 10+ years of experience in relevant technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- Bachelor's degree in computer science, engineering, mathematics, or equivalent.
- Experience developing technology solutions and evangelizing end-to-end technology roadmaps for cloud transformations.
- Experience communicating with technical and non-technical audiences, including C-level stakeholders, through training, workshops, and publications.
- Knowledge of distributed systems design and implementation, large-scale automation and workflow management, and database design and implementation.
- Strong presentation and whiteboarding skills with comfort speaking to executives, IT management, and developers.
- Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud.
Benefits
- Health insurance including medical, dental, vision, prescription, Basic Life and AD&D insurance, and optional supplemental life plans.
- Employee assistance and mental health support, a medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- Work-life flexibility, mentorship, knowledge-sharing, learning experiences, and career-development resources.
Tech Stack
Categories
Solutions Engineering
