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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Technical Lead Manager, Applied AI - DeepMind (Remote from Bali, Indonesia)

Google
Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung
Salary Estimate
USD 120.000 – USD 200.000
Newest
Live Update
3 Agustus 2026
Deadline
3 Agu 2027

job description

Join Google’s DeepMind as a Technical Lead Manager in Applied AI and drive the future of scalable generative AI product development from the vibrant hubs of Bali, Indonesia. This is a rare opportunity to lead high-impact AI initiatives while mentoring world-class engineering teams in one of the most innovative tech environments on the planet.

In this role, you’ll spearhead the design, development, and deployment of cutting-edge AI solutions that push the boundaries of what’s possible. You’ll collaborate with cross-functional teams, including researchers, engineers, and product managers, to transform groundbreaking AI research into real-world applications. With Google’s unparalleled resources and DeepMind’s pioneering expertise, you’ll have the platform to shape the next generation of AI-driven products.

Based in Bali’s dynamic tech communities—whether it’s the creative energy of Canggu, the cultural heart of Ubud, or the coastal innovation of Jimbaran—you’ll enjoy a unique work-life balance while contributing to projects with global impact. Google offers world-class benefits, including health coverage, professional development, and flexible work arrangements tailored to your needs.

If you’re a visionary leader with a passion for AI and a track record of delivering scalable solutions, we want to hear from you. Apply today and be part of the team redefining the future of artificial intelligence.

Responsibility

  • Lead AI Product Development: Drive the end-to-end development of scalable generative AI products, from concept to deployment, ensuring alignment with business and technical goals.
  • Technical Leadership: Provide hands-on technical guidance to engineering teams, reviewing architectures, code, and system designs to ensure scalability, efficiency, and innovation.
  • Cross-Functional Collaboration: Partner with AI researchers, data scientists, product managers, and UX designers to integrate cutting-edge AI models into user-facing applications.
  • Team Mentorship: Mentor and coach high-performing engineers and AI specialists, fostering a culture of continuous learning, experimentation, and excellence.
  • Strategic Roadmapping: Define and execute the technical roadmap for AI initiatives, prioritizing features and innovations that deliver maximum impact.
  • Performance Optimization: Identify and resolve bottlenecks in AI systems, optimizing for speed, accuracy, and resource efficiency.
  • Stakeholder Communication: Translate complex AI concepts into clear, actionable insights for non-technical stakeholders, including executives and clients.
  • Innovation & Research: Stay ahead of industry trends in AI/ML, evaluating and adopting emerging technologies to maintain Google’s leadership in applied AI.

Qualifications

  • Proven Experience: 8+ years in software engineering, with at least 3 years in a technical leadership role focused on AI/ML or generative AI.
  • AI/ML Expertise: Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch), large language models (LLMs), and scalable AI infrastructure.
  • Technical Proficiency: Strong coding skills in Python, C++, or Java, with experience in distributed systems, cloud computing (GCP/AWS), and data pipelines.
  • Product Mindset: Experience shipping AI-powered products at scale, with a focus on user needs, performance metrics, and business outcomes.
  • Leadership & Mentorship: Demonstrated ability to lead and inspire engineering teams, with a track record of developing talent and driving technical excellence.
  • Problem-Solving: Exceptional analytical and problem-solving skills, with the ability to tackle ambiguous challenges in AI system design and implementation.
  • Communication Skills: Excellent written and verbal communication, with the ability to articulate technical vision to both technical and non-technical audiences.
  • Education: Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field (or equivalent practical experience).

Required Skills

Artificial Intelligence Machine Learning Deep Learning Generative AI Large Language Models (LLMs) TensorFlow PyTorch Python C++ Distributed Systems Cloud Computing GCP AWS Data Pipelines Scalable AI Product Development Technical Leadership Team Mentorship System Design

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