SonderMind

Engineering Manager

SonderMind

full-time

Posted on:

Origin:  • 🇺🇸 United States • Colorado

Visit company website
AI Apply
Manual Apply

Salary

💰 $190,000 - $220,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AndroidCloudDistributed SystemsiOSMicroservices

About the role

  • About SonderMind: SonderMind believes everyone deserves one personalized, connected, and effective mental health destination; our clinicians leverage digital tools to deliver high-quality care and to develop thriving practices. Remote-first, global team across US and Europe.
  • Role: Engineering Manager leads and scales a diverse, distributed engineering team in an AI-driven environment across mobile, front-end, full-stack, and AI/ML.
  • You will partner with product managers, designers, and clinical experts to align technology with our mission, ensuring robust, scalable solutions that are delightful for users.
  • This is a high-impact leadership role blending hands-on technical insight with strategic thinking.
  • Our benefits include flexible hybrid work, generous PTO, therapy coverage, comprehensive medical plans, 401K with match, and more.

Requirements

  • You have led, inspired, and mentored diverse engineering teams, scaling talent across regions and cultivating a high-performance culture.
  • You bring deep technical expertise in building scalable systems and AI/ML products – with a track record of deploying distributed architectures that perform at enterprise scale.
  • You have a sharp user-first mindset, with a passion for mobile-first design and intuitive product experiences that delight customers.
  • You excel at cross-functional collaboration and communication, effectively aligning engineers with designers, product managers, and other stakeholders to achieve shared goals.
  • You thrive in fast-paced, ambiguous environments, adeptly balancing quick wins with long-term strategy while maintaining quality and reliability.
  • You lead by example with a hands-on approach, remaining technical enough to dive into code or architecture decisions and guide your team through complex problems when needed.