Senior Director, Software Engineering

Calendly Calendly · Enterprise · Remote · Engineering

Senior Director of Engineering to lead a team building critical core services for Calendly's shared services platform, with a focus on integrating AI/ML capabilities into core services, developer workflows, and product strategy. Requires extensive leadership experience and experience scaling an AI-first engineering organization.

What you'd actually do

  1. Defining and executing the vision and strategy for a key product area aligning with the Calendly’s goals and priorities
  2. Supporting and mentoring a team of managers and engineers, providing technical guidance and coaching on their career development
  3. Driving innovation and adoption of new technologies and methodologies that enhance Calendly’s services
  4. Ensuring the quality, performance, security, and scalability of a product line of business following best practices and standards
  5. Collaborating with other engineering teams, product managers, and stakeholders to understand the business requirements and deliver solutions that meet or exceed expectations

Skills

Required

  • 15+ years of software engineering experience
  • 10+ years in a leadership role
  • Experience helping to build and scale an AI-first engineering organization
  • Experience integrating AI/ML capabilities into core services, developer workflows, and product strategy
  • Experience leading high-performance engineering teams
  • Experience building highly-available distributed back-end systems
  • Experience as a change-agent, and drive adoption of modern engineering methodologies
  • Knowledge of cloud platforms, such as GCP and their services and tools
  • Experience operating in both high-growth startup technology companies and larger, more established organizations
  • Strong communication, collaboration, and problem-solving skills
  • Ability to iterate and ship fast

Nice to have

  • Passion for delivering high-quality products and services that delight customers

What the JD emphasized

  • AI-first engineering organization
  • integrating AI/ML capabilities into core services
  • developer workflows
  • product strategy
  • highly-available distributed back-end systems
  • cloud platforms, such as GCP

Other signals

  • AI-first engineering organization
  • integrating AI/ML capabilities into core services
  • product strategy