Description :

Role Overview :

We are looking for a seasoned Technical Product Manager with 10+ years of experience in AI-enabled product engineering, end-to-end architecture ownership, and modern full-stack technologies. The role requires leading multi-disciplinary teams to deliver scalable, API-driven platforms, advancing innovation through applied R&D, and leveraging low-code/no-code tools. The ideal candidate will have deep expertise in API-First architecture encompassing Next.js, GraphQL, Python microservices, AWS infrastructure, RAG pipelines, and Agentic AI systems. Experience integrating ERP and enterprise systems into LLM-based and automation-focused solutions is essential.

Roles and Responsibilities :

- Lead end-to-end product delivery across multiple technology products and platforms, owning the full architecture lifecycle from design to production

- Drive architecture discussions including API-First design, microservices decomposition, and cloud infrastructure decisions ensuring alignment with product strategy

- Collaborate with engineering, product, and business teams to define requirements, timelines, and delivery milestones

- Manage full-stack engineering initiatives involving AI/ML, frontend (Next.js), backend (Python, Node.js), and databases (PostgreSQL, PG Vector)

- Oversee AWS infrastructure design and operations across AppRunner, EC2, RDS, EBS, S3, and associated services

- Govern and evolve the API Backend including the API Layer (Next.js Service), Data Access Layer (GraphQL), Storage & Infrastructure Layer, and AI Platform Layer

- Conduct R&D to evaluate new technologies and enhance product capabilities, particularly in LLM, RAG, and Agentic AI domains

- Implement Agile best practices : sprint planning, backlog management, and risk mitigation

- Monitor KPIs, budget, and performance metrics to ensure on-time, high-quality delivery

- Ensure smooth integration of low-code/no-code accelerators to reduce development timelines

- Maintain technical documentation and ensure security and compliance standards are met (encryption, audit logs, SSL/TLS)

Qualifications and Skills :

Bachelor's or Master's degree in Computer Science, Engineering, IT, or equivalent field

10+ years of professional experience in technical project management with hands-on architecture ownership

Deep expertise in full-stack development including :

- Frontend : Next.js / React JavaScript frameworks (AWS AppRunner deployment)

- Backend : Python (EC2-hosted microservices), Node.js / Next.js Service (AWS AppRunner)

- API / Data Layer : Hasura GraphQL server (AWS AppRunner), REST API design and governance

- Databases : PostgreSQL with PG Vector extensions, AWS RDS with encryption and audit logs

- File & Static Storage : AWS S3 (user uploads, AI pipeline docs, static files)

End-to-end architecture ownership experience including :

- API-First architecture design defining Presentation, API, Data Access, Storage, and AI Platform layers

- Secure API Gateway design and governance

- AI Processing Pipeline : Ingestion & Parsing, Chunking & Metadata Extraction, Embedding, LLM integration

Hands-on AI/ML experience including :

- LLM-based models for recommendation systems, predictive insights, and extraction from unstructured data

- RAG (Retrieval-Augmented Generation) pipeline design and operations

- Agentic AI systems design and deployment

- Vector database usage (PG Vector / PostgreSQL) for semantic search and embedding

- Experience with microservices, REST APIs, and GraphQL in production environments

- Knowledge of DevOps practices : CI/CD, version control, and environment management

- Exceptional R&D mindset with the ability to evaluate and adopt emerging technologies

- Excellent stakeholder communication, presentation, and coordination skills

- Strong analytical, problem-solving, and decision-making abilities

- Proven cross-functional team management across engineering, product, and business units

- Ability to thrive in fast-paced environments with changing priorities and multiple concurrent projects