Sr. Manager, WW Specialist SA - GenAI , Q Business

$180,900 - $312,800/Yr

Amazon - Houston, TX

Full-time - Senior

Houston, TX

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Sr. Manager, WW Specialist SA - GenAI position at Amazon involves leading the global Go to Market (GTM) strategy for the Amazon Q Business within the AWS Specialist Solutions Architects team. This role requires a deep understanding of generative AI and cloud solutions, as well as the ability to guide customers in building scalable, production-ready solutions. The position emphasizes collaboration with various teams to influence product development and ensure customer needs are met effectively.

Responsibilities

• Serve as a specialist advisor for Amazon Q Business, developing scalable best practices and educating the broader community.
• Assist customers in building production-ready solutions, including complex integrations with existing systems.
• Engage with customer executives to shape technology strategy and envision innovative solutions.
• Drive high-level discussions across organizations, represent the company at conferences, and communicate effectively to diverse audiences.
• Support new service launches, incubate new business, and influence product roadmap through close collaboration with internal teams and external customers.

Requirements

• BS/MS in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
• 7+ years of hands-on experience building and deploying cloud solutions.
• Experience developing enterprise search solutions integrating multiple datasources (e.g., Sharepoint, Confluence, Salesforce).
• Hands-on experience with Large Language Models, RAG-based systems, and Vector databases.
• Excellent communication and presentation skills for collaborating with internal and external stakeholders.

Nice-to-haves

• Hands-on experience with information retrieval patterns and scaling search systems (e.g., Opensearch, Lucene, Solr).
• Experience building enterprise-grade AI assistants, considering security, scalability, and agentic systems.
• Experience incubating new products in collaboration with Product teams.
• Ability to quickly adapt and dive into unfamiliar topics (e.g., security, databases, networking) based on prior experience.
• Strong background in advanced AI concepts and implementations relevant to enterprise solutions.

Benefits

• Comprehensive medical, financial, and other benefits packages.
• Equity and sign-on payments as part of total compensation.