Own technical direction, architecture, and delivery quality within your domain
Write production code regularly
around 40–60% hands-on
Lead and mentor a team of 3-4 engineers
and scale it further timely
Turn product goals into clear engineering plans together with PM, CPO, and CTO
Make pragmatic technical decisions for an early-stage, high-trust health product
Own quality: tests, observability, performance, security, and production reliability
Help build systems that handle sensitive mental health data responsibly
Drive engineering rituals: planning, estimations, retrospectives, design reviews, ADRs
Participate in hiring and onboarding
Work with AI and clinical teams to integrate LLM features safely into user-facing workflows

5+ years of commercial software engineering experience
1.5+ years as a Tech Lead, Team Lead, Staff Engineer, or Senior Engineer with leadership responsibilities
Strong hands-on expertise in at least one of: Python backend, Python AI services, native iOS / Kotlin Multiplatform mobile
Experience building SaaS, mobile, consumer health, or other products with real users
Strong ownership mindset
from backlog breakdown to deployment, monitoring, and support
Ability to work in early-stage ambiguity, make trade-offs, and move fast without sacrificing quality
Solid architecture fundamentals: APIs, databases, queues, integrations, reliability patterns
Comfortable with Docker, CI/CD, cloud deployments, and production operations
Understanding of security, privacy, and sensitive data handling — or willingness to learn fast
Product thinking: you care not only about how the system works, but why it matters to users
English — Intermediate+ for documentation and distributed team communication.

Future equity/option benefits
High ownership, low bureaucracy, and direct access to leadership
Join early and influence architecture, product direction, and engineering culture
Small, strong technical team and experienced CTO
No legacy systems and no bloated technology zoo
we make deliberate technical choices
Work at the intersection of AI, mental health, consumer product, and clinical support

Tech Lead

Key skills