Software Development Manager, Sales AI

Are you interested in shaping the future of Advertising and B2B Sales? Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, delivering billions of ad impressions and generating billions in revenue.
We are looking for a Software Development Manager to lead a team of engineers building an advertiser Intelligence Center (AIC) service — the contextual backbone that powers our AI agents. You will own the technical vision, people development, and delivery for the systems that aggregate, structure, and serve advertiser context to our agents, enabling AI-driven workflows that help account teams deliver better outcomes for advertisers at scale.This is a leadership opportunity to build and grow a high-performing engineering team in a greenfield space. You will define how advertiser knowledge is represented, retrieved, and reasoned over by autonomous agents — setting technical direction while developing engineers and shipping at pace. You will work at the intersection of large-scale data systems, Generative AI, and production agent frameworks, partnering closely with science, product, and sales leadership.
Why You Will Love This Opportunity
- Build a team from the ground up: Hire, develop, and lead engineers working on some of the most impactful AI systems in Amazon Advertising.
- Greenfield technical leadership: The advertiser intelligence center is being built now — you'll set the architecture, define the roadmap, and own delivery end-to-end.
- AI-native systems: Lead a team building agent frameworks, retrieval-augmented generation pipelines, and LLM-powered services in production.
- High visibility: Direct exposure to senior leadership across Advertising Sales, with clear line of sight from your team's work to business outcomes.
- Entrepreneurial culture: Small org, big mandate. We move fast, experiment often, and ship real products.
Key job responsibilities
- Hire, develop, and retain a team of strong software engineers — setting a high bar for technical talent and creating an environment where engineers grow.
- Own the technical vision and roadmap for the advertiser context center, translating business needs and science requirements into a clear engineering plan.
- Drive architectural decisions for high-throughput, low-latency context services that power AI agents at scale.
- Partner with Applied Scientists, Product Managers, and cross-functional leaders to align engineering delivery with business priorities.
- Ensure operational excellence across the team's services — setting standards for reliability, monitoring, incident response, and on-call practices.
- Remove blockers, manage dependencies across teams, and maintain delivery velocity in an ambiguous, fast-moving environment.
- Represent the team's work to senior leadership through clear written and verbal communication (documents, business reviews, roadmap narratives).
- Foster a culture of ownership, experimentation, and continuous improvement.
About the team
Within the Advertising Sales organization, Sales AI is building the intelligent systems that transform how account teams operate — from actionable insights and recommendations to Generative AI-powered agents that streamline end-to-end sales workflows
- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of engineering team management experience
- Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- MBA, or 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Experience managing and deploying ML products
- Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
- Strong written communication skills (Amazon's writing culture — narratives, PR/FAQs, operational documents)-
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