Software Development Manager, Analytics and Data Management

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Manager leading a team to build and scale a conversational AI assistant (SpektrBot) for interacting with a large advertising data lake. The role involves managing engineers, driving execution on core products like RAG pipelines and multi-agent architectures, ensuring operational excellence, and coordinating with various partner teams to deliver AI-powered data insights through natural language.

What you'd actually do

  1. Manage and grow a team of 6+ software development engineers building SpektrBot's conversational AI platform
  2. Drive engineering execution across parallel workstreams including accuracy improvement, latency reduction, domain expansion, and partner integrations
  3. Coordinate with 15+ partner teams across 7 VP organizations (DemandTech, MADS, Ads Support, AMC, Sales, Finance, APM-A) to onboard datasets and deliver integrations
  4. Own engineering excellence including code standards, architecture reviews, automated testing (1000+ questions across 20+ business domains), and operational readiness
  5. Lead roadshows and GTM activities to drive SpektrBot adoption across Ads, onboarding new customer teams and evangelizing capabilities to stakeholders

Skills

Required

  • Experience managing engineers building production ML/AI systems, ideally in GenAI, LLM, or conversational AI domains
  • Track record of coordinating across multiple partner teams and VP organizations to deliver complex technical programs
  • Ability to drive engineering excellence including code standards, automated testing, and operational best practices across a growing team
  • Ability to earn trust across different levels and multiple groups of a large organization
  • Strong oral and written communication skills, ability to run effective roadshows and evangelize products to stakeholders
  • Sound business judgment, proven ability to influence others, and strong analytical thinking skills
  • Ability to think strategically and act tactically, managing parallel workstreams without losing sight of the big picture
  • Manage and grow a team of 6+ software development engineers
  • 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

Nice to have

  • Ability to get a lot done in a startup environment with a mix of ambiguity and opportunity
  • Willingness to roll up your sleeves and do whatever is necessary, with a general manager / owner mentality and an entrepreneurial drive
  • Player-coach mentality, willing to ship code alongside your team when needed to unblock delivery or set technical direction
  • Ability to have fun and inspire team members to enjoy work, be action-oriented, and stretch their imagination

What the JD emphasized

  • building the platform that powers SpektrBot's conversational AI experience
  • ship core products including query orchestration services, RAG pipelines, multi-agent architectures, SQL generation systems, and automated evaluation frameworks
  • scale the platform from 4K to 20K monthly queries
  • managing engineers building production ML/AI systems, ideally in GenAI, LLM, or conversational AI domains
  • Track record of coordinating across multiple partner teams and VP organizations to deliver complex technical programs
  • Ability to get a lot done in a startup environment with a mix of ambiguity and opportunity
  • Willingness to roll up your sleeves and do whatever is necessary, with a general manager / owner mentality and an entrepreneurial drive
  • Player-coach mentality, willing to ship code alongside your team when needed to unblock delivery or set technical direction

Other signals

  • building the platform that powers SpektrBot's conversational AI experience
  • ship core products including query orchestration services, RAG pipelines, multi-agent architectures, SQL generation systems, and automated evaluation frameworks
  • scale the platform from 4K to 20K monthly queries