Technical Product Lead - AI & Digital Therapeutics

(Product-aware, Architecture-driven)

Location: Bengaluru / Hybrid / Remote (US overlap preferred)

Experience: 712 years

Reports to: Founder & CEO

Leads: Full-stack (MERN), AI/ML, Data, Platform Engineering

Parentof is a cognitive-AI company building AI-driven Digital Therapeutics (DTx) platforms for childrens attention, executive function, and behavioral skill development.

Over the last decade, Parentof has developed a proprietary cognitive intelligence stack (ARRC Engine) that integrates:

• Micro-behavioural telemetry
• Adaptive AI personalization
• Longitudinal outcome tracking
• Hybrid digital + real-world interventions

Our flagship product, Attention Hero, operates at the intersection of AI systems engineering, cognitive science, and scalable product architecture.

We are looking for a Technical Engineering Lead who can own the technical backbone of our AI DTx platform.

This role is engineering-first:

• You will own architecture, codebases, and system integrity
• Lead and grow engineering teams
• Make core technical decisions across frontend, backend, data, and AI systems
• Translate product intent into robust, scalable, compliant systems

Note: User research, growth marketing, and retention analytics are not the primary focus of this role.

• Own end-to-end system architecture across:
• MERN stack applications
• AI/ML services
• Data pipelines and telemetry systems
• Design scalable, modular, and secure architectures suitable for DTx use cases
• Define boundaries between product layers, AI services, and data systems
• Make build vs buy decisions for infrastructure and tooling

• Take ownership of existing and future codebases
• Enforce engineering best practices:
• Code quality
• Test coverage
• CI/CD pipelines
• Security and privacy standards
• Lead code reviews and architectural reviews
• Reduce technical debt while enabling fast iteration

• Lead, mentor, and scale engineering teams across:
• Frontend (React)
• Backend (Node.js / APIs)
• AI/ML and data engineering
• Own sprint planning, technical task breakdown, and delivery commitments
• Set engineering OKRs aligned with platform stability and scalability

• Partner closely with AI/ML engineers to:
• Productionize models
• Design inference pipelines
• Ensure explainability and traceability
• Oversee telemetry capture of micro-behavioural signals
• Ensure AI outputs are deterministic, auditable, and debuggable

• Own platform reliability, uptime, and performance
• Implement data security, privacy, and access controls
• Ensure architecture aligns with:
• FDA General Wellness expectations
• COPPA / FERPA / GDPR principles
• Prepare systems for audits, diligence, and enterprise customers

(Engineering-centric, not research-centric)

• Translate product and clinical intent into technical system requirements
• Challenge product assumptions with architectural realities
• Ensure engineering decisions preserve scientific validity of outcomes
• Act as the technical counterweight to product, research, and business teams
• Represent engineering perspective in leadership discussions

• 712 years of hands-on engineering experience
• Strong system design experience in full-stack web platforms
• Deep experience with JavaScript / TypeScript, Node.js, React
• Experience managing large, evolving codebases
• Prior ownership of platform architecture and engineering decisions
• Experience leading engineering teams

• Experience building AI/ML-powered platforms
• Exposure to healthtech, edtech, or regulated environments
• Experience designing data pipelines and telemetry systems
• Familiarity with cloud infrastructure (AWS / GCP / Azure)
• Experience supporting audits or technical due diligence