Amazon.com Services LLC

Software Development, selling partner services

SoftwareDevelopmentManager,VendorAgenticExperience

$185–250k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Software Development Manager, Vendor Agentic Experience at Amazon.com Services LLC. Skills: Agentic solutions, AI-powered experiences, Team management. Lead technical strategy and execution. Scope complex projects”

What You'll Achieve.

Accelerate delivery; Achieve world-class AI-powered experiences

Industry & Context.

Software Development, selling partner services
Problems you'll solve

Solving complex problems; Data-driven decisions

What They're Looking For.

Must Have

3+ years engineering team management, 7+ years working directly within engineering teams, 3+ years designing or architecting systems, 8+ years leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for full software/hardware/networks development life cycle, Experience partnering with product or program management teams

Nice to Have

Experience communicating with users, other technical teams, and senior leadership, Experience recruiting, hiring, mentoring/coaching and managing teams of Software Engineers

What You'll Do.

Lead technical strategy and execution

Scope complex projects

Deliver simple elegant solutions

Drive development schedule from design to release

Build innovative GenAI powered agentic solutions

Make appropriate trade-offs to optimize time-to-market

Build best-in-class engineering team

Deliver excellent results through rapid iterations

Design state-of-the-art approaches

Solve complex and ambiguous problems

Cultivate engineering and operational excellence

Provide thought leadership

Establish technical vision for team

Mentor and grow superstar SDEs

How You'll Work.

Team & Collaboration

Partner teams; Product or program management teams

Communication Scope

Presenting ideas; Communicate effectively

Process & Methodology

Development schedule

Full Job Description

Are you an innovative and accomplished professional seeking a highly visible role with a significant impact to Selling Partners? Are you comfortable presenting your ideas to Amazon’s senior leaders? If yes, then we want to talk with you. Selling Partners depend on us to provide robust and scalable AI-powered solutions that help them make faster, data-driven decisions and automate complex workflows to grow their business. We are looking for a Software Development Manager to lead the technical strategy and execution for our agentic experiences team for Selling Partners. You will scope complex projects and deliver simple elegant solutions. You will drive the development schedule from design to release, build innovative GenAI powered agentic solutions to accelerate delivery, and make appropriate trade-offs to optimize time-to-market. Your solutions will help achieve our vision of world-class AI-powered experiences. The right person for this role will have proven ability to execute strategically and tactically to turn ambiguous users and business needs to successful products. You can communicate effectively with senior leaders and have the ability to earn trust and influence partner teams. This is a unique opportunity to be a founding leader for a high impact area. Key job responsibilities • Building a best-in-class engineering team that delivers excellent results through rapid iterations • Designing and developing state-of-the-art approaches to solving complex and ambiguous problems • Cultivating engineering and operational excellence through metrics and continuous learning • Providing thought leadership and establishing technical vision for the team • Mentoring and growing superstar SDEs to take on increasingly higher responsibilities Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and ex

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