Director, Engineering

Superhuman Superhuman · Consumer · Hub - Porto · Engineering, Product, Design, and Marketing

Engineering Director to lead and scale the Porto engineering site following the acquisition of Rows by Superhuman. Responsible for integrating a high-performing team, scaling the site, aligning architecture, roadmap, and culture, and evolving systems to support next-generation AI-powered products.

What you'd actually do

  1. Lead and grow the Porto engineering site from ~18 to 60+ engineers while maintaining a high bar for technical excellence and culture.
  2. Partner with Product and Design leaders to define and execute a shared roadmap aligned across Porto, Berlin, and US teams.
  3. Establish strong architectural alignment and prevent divergence across teams and geographies.
  4. Evaluate and guide technical decisions, ensuring sound tradeoffs between iteration and long-term system evolution.
  5. Build a high-performing engineering organization, including developing the EM layer and leadership bench.

Skills

Required

  • Proven experience leading and scaling engineering organizations (Director or senior EM level)
  • Strong architectural judgment
  • High technical credibility with senior and staff engineers
  • Experience scaling complex systems and maintaining technical excellence during periods of rapid growth
  • Demonstrated ability to integrate teams (e.g., post-acquisition or re-org) and drive organizational maturity
  • Strong people leadership skills, including managing managers, developing leaders, and making performance decisions
  • Track record of building high-performance, accountable, and collaborative engineering cultures
  • Experience working across multiple geographies, with strong cross-site collaboration and alignment skills
  • Clear and structured approach to decision-making, prioritization, and communication
  • Strong hiring instincts and experience building high-quality teams in competitive markets

Nice to have

  • AI productivity platform
  • AI-powered products
  • AI assistant

What the JD emphasized

  • scaling teams significantly
  • guide complex system design
  • integrate teams
  • managing managers
  • building high-quality teams