Tech Manager (AI Product)

Appnovation; Kuala Lumpur; On-site; MYR 180,000 - 340,000; Full time

Benefits offered by this job

Private Medical Plan

EPF

Wellness Allowance

ME Days

Employee Assistance Programme

Fertility and Menopause Leave

Job summary

Appnovation is seeking an experienced Tech Manager to lead a full-stack and cloud engineering team. The role bridges technical strategy, architectural direction, and hands-on execution across cloud services and AI-powered product initiatives.

You will collaborate with product managers and clients to scale modern AI solutions, balancing technical leadership with team advocacy and robust software delivery.

Qualifications

• Proven experience in technical leadership or software team leadership.
• Hands-on full-stack development with modern frontend and backend technologies.
• Expertise in cloud services architecture for scalable product platforms.
• Experience with AI integrations and LLM API/OSS models.
• Strong governance of code quality, agile delivery, and architecture decisions.

Responsibilities

• Lead and mentor a multidisciplinary team of full-stack and cloud engineers.
• Define the engineering roadmap and align cloud architecture with business goals.
• Oversee design, implementation, and deployment of scalable full-stack applications.
• Collaborate with product managers, designers, and stakeholders to translate requirements.
• Enforce CI/CD best practices and secure cloud operations.

Skills

Technical leadership

Full‑stack development

Cloud architecture

AI integration

Agile delivery

Code governance

Tools

React/Next.js

Python/Node.js/Java

AWS/GCP/Azure

Job description

About Us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

About Us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

About The Role

We are seeking an experienced, visionary Tech Manager with a robust full-stack background to lead our agile engineering team in driving AI-powered product initiatives. In this role, you will bridge technical strategy, architectural direction, and hands‑on execution across cloud services and full-stack environments. You will collaborate closely with cross‑functional leadership, product managers, and clients to scale modern AI solutions. The ideal candidate combines technical leadership with team advocacy, possessing a deep passion for cloud infrastructure, scalable full‑stack web applications, and artificial intelligence integration.

Key Responsibilities

• Lead, mentor, and empower a multidisciplinary team of full-stack and cloud engineers, fostering a culture of innovation, accountability, and technical excellence.
• Drive the technical vision and engineering roadmap for our core AI product offerings, aligning cloud architecture and full-stack execution with strategic business goals.
• Oversee end-to-end design, implementation, and deployment of scalable full-stack applications powered by cloud environments and machine learning models.
• Collaborate directly with product managers, UX designers, and senior stakeholders to translate complex requirements into actionable technical deliverable milestones.
• Enforce engineering best practices, robust CI/CD automation pipelines, secure cloud operations, and rigorous code reviews to maintain application scalability and reliability.

What We Are Looking For

Must-Have

• Proven experience in technical leadership, management, or software team lead roles overseeing cloud-native full-stack solutions.
• Strong hands‑on background in full-stack application development (modern frontend frameworks such as React/Next.js alongside backend services like Python, Node.js, or Java).
• Demonstrated expertise in Cloud Services architecture (AWS, GCP, or Azure) for building scalable, secure, and cost‑effective product platforms.
• Practical understanding of AI integrations, machine learning pipeline execution, or working with leading LLM APIs and open‑source models (e.g., OpenAI, Anthropic, Hugging Face).
• Strong technical governance experience across code quality, agile delivery methodologies, rapid prototyping, and architectural decision‑making.

Nice-to-Have

• Experience designing and deploying production‑grade Generative AI, MLOps, or Retrieval‑Augmented Generation (RAG) architectures.

Who You Are

• You balance hands‑on technical depth with compassionate leadership, effectively mentoring engineers while steering architectural decisions.
• You are curious and continuously push boundaries to integrate emerging technologies, cloud practices, and AI frameworks into impactful products.
• You communicate clearly and adapt your delivery approach across technical teams, key business stakeholders, and executive leadership.
• You take full ownership of delivery outcomes, staying resilient and strategic when navigating complex engineering requirements or changing priorities.

What Appnovation Has To Offer

• Private Medical Plan
• EPF
• Wellness Allowance
• ME Days
• Employee Assistance Programme
• Fertility and Menopause Leave

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.