Technical Product Lead - AI & Digital Therapeutics

Technical Engineering Lead – AI & Digital Therapeutics

(Product-aware, Architecture-driven) Location:

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

7–12 years Reports to:

Founder & CEO Leads:

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

About Parentof

Parentof is a cognitive-AI company building

AI-driven Digital Therapeutics (DTx)

platforms for children’s 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

.

Role Summary 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.

Core Responsibilities 1. Architecture & System Design (Primary) 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 2. Codebase Ownership & Engineering Standards 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 3. Engineering Team Leadership 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

4. AI & Data Systems Integration

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

5. Platform Reliability, Security & Compliance 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 6. Product-Engineering Interface (Reframed Cross-Functional Leadership) (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 This role

does not

own user research, growth funnels, or marketing analytics — but ensures the

platform can support them

. Required Qualifications Must-Have 7–12 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 Strongly Preferred 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