Software Development Manager, Amazon Data Services

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

This role manages an engineering team responsible for building external-facing software capabilities to recruit, onboard, and manage a large crowd of external annotators who provide data for training and evaluating large language models. The focus is on the platform and processes for managing this crowd, which is a critical component of the data pipeline for AI model development.

What you'd actually do

  1. Lead AI driven software capabilities that enable hiring, recruiting and vetting of 50K+ external candidates who are subject matter expert in STEM, SWE, Finance and other complex domains for Nova and other Gen AI model data collection needs.
  2. Drive alignment and execution of key business goal to recruit, hire and register legitimate external experts who can help train and improve AI model on complex domains.
  3. Define technology stack, guide and review key architectural decisions.
  4. Hire exceptional individuals and mentor team members in reaching their career goals.

Skills

Required

  • 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 livesite operations
  • Experience partnering with product or program management teams

Nice to have

  • 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

What the JD emphasized

  • external facing
  • PR, legal and compliance

Other signals

  • procuring data needed for building and validating large-language models
  • human-created and human-in-the-loop data that is used to train and evaluate large language models
  • external crowd sourcing where AGI Data Services can directly hire/recruit, engage and manage the crowd to generate high quality ground truth
  • AI driven software capabilities that enable hiring, recruiting and vetting of 50K+ external candidates who are subject matter expert in STEM, SWE, Finance and other complex domains for Nova and other Gen AI model data collection needs