Software Development Manager, Analytics and Data Management

About the role

Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle.

Responsibilities

• Manage and grow a team of 6+ software development engineers building SpektrBot's conversational AI platform
• Drive engineering execution across parallel workstreams including accuracy improvement, latency reduction, domain expansion, and partner integrations
• Coordinate with 15+ partner teams across 7 VP organizations (DemandTech, MADS, Ads Support, AMC, Sales, Finance, APM-A) to onboard datasets and deliver integrations
• Own engineering excellence including code standards, architecture reviews, automated testing (1000+ questions across 20+ business domains), and operational readiness
• Lead roadshows and GTM activities to drive SpektrBot adoption across Ads, onboarding new customer teams and evangelizing capabilities to stakeholders
• Organize and run sprint planning across multiple concurrent technical workstreams, unblocking engineers and ensuring delivery velocity
• Partner with Applied Scientists (peer) and Data Engineers to align on technical direction for RAG architectures, embedding pipelines, and SQL generation systems
• Own operational excellence for production systems serving thousands of internal customers, including on-call, monitoring, alarming, and incident response
• Hire, develop, and retain top engineering talent while building a collaborative and high-ownership team culture

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 existing systems experience
• 8+ years of leading the definition and development of multi-tier web services experience
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live-site operations
• Experience partnering with product or program management teams