About Superhuman

The Opportunity

• Lead and grow a team of 8+ engineers, providing mentorship, career development, and fostering a high-performance engineering culture.
• Own the technical direction for proactive agent surfacing — from understanding user context to matching them with the right agent at the right time.
• Drive the development of models that interpret user activity across applications and match it with relevant agents from our growing ecosystem.
• Build evaluation frameworks to measure model quality and user impact, iterating rapidly based on what works.
• Ship compelling user-facing products across our Chrome extension, native desktop application, and integrations with Superhuman Mail and Coda Docs.
• Collaborate cross-functionally with product, design, ML research, and platform teams to deliver an end-to-end experience.
• Move us from a world where users must come and ask for help to one where we proactively use our deep understanding of user activity to surface the agent that can help them most.
• Balance technical ambition with pragmatic execution — shipping incremental value while building toward the proactive assistant vision.

Qualifications

• Has 3+ years of engineering management experience leading teams of 5+ engineers, with a track record of hiring, developing, and retaining strong talent.
• Brings hands-on experience training, fine-tuning, and evaluating ML models, with a strong intuition for model quality and data-driven iteration.
• Has shipped user-facing products at scale, with a deep appreciation for UX quality and a bias toward getting value in front of users quickly.
• Demonstrates strong technical breadth across browser/extension development, ML/AI infrastructure, and full-stack product engineering.
• Has experience building systems that operate across diverse surfaces (browser extensions, native apps, web applications) and understands the unique challenges of each.
• Shows a track record of managing ambiguity — defining strategy, making tradeoffs, and shipping in fast-moving, early-stage product areas.
• Communicates clearly and influences effectively across engineering, product, design, and leadership.
• Is energized by the challenge of building proactive AI experiences that anticipate user needs rather than waiting for explicit requests.

Compensation & Benefits

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

We encourage you to apply