Tech Lead
7 days ago
You'll be the
technical backbone
of TrainTrack — responsible for designing, building, and deploying the first complete version of the product.
You'll own architecture decisions, write production-ready code, integrate wearable data, and collaborate directly with the founding team and AI engineer to make the algorithm work in the real world.
This is a builder's role — ideal for someone who loves working across the stack, thrives in early-stage environments, and wants to shape a product that can redefine fitness intelligence.
Key Responsibilities
1. Architecture & Development
- Design and build the
core platform architecture
across frontend, backend, and cloud. - Develop
two mobile apps
(physiotherapist + user) using a shared codebase (React Native / Flutter). - Build the
backend
/ Python) with secure authentication, role management, and data APIs. - Set up
databases
for storing assessments, workouts, and wearable data. - Implement integrations with third party APIs
- Deploy the
AI engine
(score generation, workout recommendation, predictions) via APIs.
2. Technical Leadership
- Work closely with data and AI engineers to define APIs and model deployment.
- Translate product and sports science inputs into scalable technical systems.
- Manage
DevOps
: cloud setup, CI/CD pipelines, code versioning, and server monitoring. - Eventually recruit, mentor, and manage junior engineers and mobile devs.
3. Product Execution
- Rapidly prototype, test, and iterate on product features with physiotherapists and users.
- Ensure clean, modular, and maintainable code for long-term scalability.
- Maintain high standards of
security, privacy, and performance
for health data.
Ideal Background & Skills
Technical Stack:
- Frontend:
React Native or Flutter - Backend:
or Python (FastAPI / Django) - Database:
PostgreSQL / MongoDB / Firebase - AI Integration:
REST / GraphQL APIs, FastAPI model serving - Cloud:
AWS or GCP (Lambda, EC2, S3, Cloud Functions) - Version Control & CI/CD:
GitHub, Docker, Jenkins / GitHub Actions
Nice-to-Have:
- Familiarity with
wearable data APIs
(Apple HealthKit, Google Fit, Garmin Connect, Strava). - Experience working with
AI/ML engineers
and model deployment. - Knowledge of
data visualization
, Recharts, or equivalent). - Awareness of
health data privacy standards
(GDPR, HIPAA).
Soft Skills:
- You're a
builder at heart
— capable of independently delivering across the stack. - Strong communicator who thrives in
cross-functional collaboration
(design, AI, product, physio). - Curious about
fitness, biomechanics, and human performance
. - Excited by early-stage ownership and shaping something from the ground up.
What You'll Get
- Opportunity to
build a product from 0 → 1
that merges health, AI, and human performance. - Work closely with a passionate founding team shaping the future of intelligent fitness.
- Freedom to choose tools, architecture, and early team direction.
- Competitive compensation and early-stage
equity options
.
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