MakerSights

MakerSights

Director of Engineering - SAAS and MEAN stack hands on

San Francisco, CA, United States · Director

Sponsorship not specifiedDetected 3466 days ago
RESTLeadershipCommunication

About the role

  • We are looking for an ambitious hands-on lead engineer to drive our technology roadmap forward, contribute significantly to the growth and evolution of our platform and build a talented team beneath them. As an early team member, you will have the opportunity to work on all aspects of our platform:
  • - Help build a fast-growing, profitable business that delivers significant long-term value to its employees, brands and investors

Responsibilities

  • Building mobile-first, intuitive interfaces that drive strong user engagement
  • Helping craft our company strategy, ensuring the tech roadmap delivers upon all strategic goals
  • Interfacing with clients to ensure we deliver a product that drives value and meets their needs
  • Build great software. The features and data-sets you (and engineering team) ideate and develop will help brands radically improve their product development efficiency
  • Contribute to building a rich company culture, where talented people and teams are stretched to grow professionally and personally

Requirements

  • Have 6+ years professional software engineering experience, including 4+ years back-end

Nice to have

  • background in MEAN stack a plus

Benefits

  • As an early team member, you will have the opportunity to work on all aspects of our platform:
  • Help build a fast-growing, profitable business that delivers significant long-term value to its employees, brands and investors

Company info

  • We are looking for an ambitious hands-on lead engineer to drive our technology roadmap forward, contribute significantly to the growth and evolution of our platform and build a talented team beneath them.

Equal opportunity

  • All your information will be kept confidential according to EEO guidelines.

This listing is sourced directly from MakerSights's careers page and normalized into a canonical job model.