Technical Manager (AI Product)
Quick Summary
Lead, mentor, and empower a multidisciplinary team of full-stack and cloud engineers, fostering a culture of innovation, accountability, and technical excellence.
Must-Have Proven experience in technical leadership, management, or software team lead roles overseeing cloud-native full-stack solutions.
Appnovation is the AI Product Company. Headquartered in Vancouver, Canada, with teams around the world, Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to market.
About the Role
~1 min readWe are seeking an experienced, visionary Technical 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.
Responsibilities
~1 min read- →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.
- 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.
- Should be fluent in English & conversational in Mandarin/Cantonese language.
- Experience designing and deploying production-grade Generative AI, MLOps, or Retrieval-Augmented Generation (RAG) architectures.
- 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.
- Private Medical Plan
- EPF
- Wellness Allowance
- ME Days
- Employee Assistance Programme
- Fertility and Menopause Leave
Accommodations are available upon request throughout the recruitment process.
Location & Eligibility
Listing Details
- Posted
- September 18, 2026
- First seen
- September 18, 2026
- Last seen
- October 9, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- October 9, 2026
Signal breakdown
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