Sr Manager, Software Development Engineering - Evisort AI

Workday Workday · Enterprise · Vancouver, BC +1

Sr. Manager, Software Development Engineering for Evisort AI at Workday, focusing on leading a team to develop and scale AI-powered contract management solutions. The role involves collaborating with cross-functional teams, mentoring engineers, and ensuring the performance and maintenance of key platform areas, with a strong emphasis on LLMs, AI agents, RAG, and enterprise AI architectures.

What you'd actually do

  1. Partner with engineering, machine learning, product management, and design teams to bring our vision, strategy, and roadmap to life.
  2. Develop a collaborative environment that values diverse perspectives, encourages experimentation and innovation, and promotes a deep understanding of both our business and engineering best practices.
  3. Be responsible for the development, maintenance, and performance of key areas of our platform, adopting a "you build it, you run it" attitude.
  4. Clearly and proactively connect with your team and partners.
  5. Provide engineers with the support, resources, and constructive feedback they need to thrive and grow professionally.
  6. Recruit, hire, develop, and retain versatile engineers from all backgrounds.

Skills

Required

  • 5+ years of experience in software engineering leadership, with a strong focus on cloud-based systems and AI/ML
  • 10+ years of experience with design and development for mission critical systems at scale
  • Proven ability to seek out and hire the highest performing professionals to build cutting edge products with AI capabilities
  • Extensive experience in building and operating SaaS products in cloud environments (AWS and Python ecosystem preferred)
  • Advanced knowledge of modern software development practices (devops, automated testing, observability, AI code generation / review / testing, etc)
  • Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
  • Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
  • Successful track record of leading cross-functional teams in fast-paced, agile environments
  • Strong problem-solving, communication, and collaboration skills.
  • Comfortable navigating ambiguity to turn hard problems into clear and compelling solutions through reasoning and research

Nice to have

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

What the JD emphasized

  • AI/ML
  • AI
  • LLMs
  • AI agents
  • RAG
  • orchestration frameworks
  • enterprise-grade AI architectures
  • AI capabilities

Other signals

  • AI platform for managing people, money, and agents
  • leading contract management solutions
  • delivering outstanding AI at scale
  • advancing our AI initiatives
  • Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks
  • enterprise-grade AI architectures