AI Engineering Lead

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July 31

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Goodnotes

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Education • Productivity • Artificial Intelligence

Goodnotes is a leading platform that reimagines digital note-taking with its innovative products, such as Goodnotes 6, available across iOS, Mac, Windows, Android, and Web. Millions worldwide enjoy the handwriting experience with its digital ink, which supports powerful AI features like spellcheck and word completion. Goodnotes offers seamless functionality, allowing users to annotate PDFs, type notes, and organize their entire library with ease. The platform also provides special licenses for schools, making it a valuable tool for educational purposes.

51 - 200 employees

Founded 2011

📚 Education

⚡ Productivity

🤖 Artificial Intelligence

💰 Seed Round on 2020-05

📋 Description

• Lead and mentor a small engineering team dedicated to designing, developing, and deploying AI-powered productivity solutions internally. • Actively architect and implement AI applications leveraging LLMs, generative AI, NLP, predictive analytics, and process automation. • Collaborate closely with stakeholders from diverse business units (Product, Design, Customer Support, Marketing, etc.) to understand their needs and translate them into AI solutions. • Drive AI adoption across the broader engineering organization by sharing best practices, enabling internal teams, and embedding AI capabilities into existing products and workflows. • Define technical strategies, create clear roadmaps, and manage end-to-end delivery of impactful AI solutions. • Advocate best practices in AI software development, model training, testing, and deployment, ensuring reliability and scalability. • Build a culture of continuous learning, innovation, experimentation, and productivity enhancement through AI. • Track effectiveness of AI initiatives and continuously improve through iterative feedback loops.

🎯 Requirements

• 7+ years experience in software engineering, with significant recent experience (at least 3 years) focused on AI/ML product development or implementation. • Proven experience developing, deploying, and maintaining AI solutions—ideally in enterprise or productivity contexts. • Demonstrated capability as a hands-on technical leader: still comfortable coding and prototyping, while effectively managing a small technical team. • Strong familiarity with current AI/ML frameworks and tools (e.g., PyTorch, TensorFlow, OpenAI API, LangChain, Hugging Face, vector databases, MCP, RAG, etc.). • Experience in productionizing AI solutions using cloud infrastructure (AWS preferred), and modern deployment techniques (e.g., Kubernetes, EKS, Terraform, ArgoCD). • Excellent communication, collaboration, and stakeholder management skills. • Strong problem-solving mindset, capable of creatively and pragmatically leveraging AI technology to address real business problems. • Deep curiosity and passion about leveraging AI to solve practical productivity problems. • A proactive, ownership-oriented mindset, comfortable with ambiguity and experimentation. • Desire to collaborate openly and foster an environment of continuous improvement, learning, and mentorship.

🏖️ Benefits

• Meaningful equity in a profitable tech startup • Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness • Sponsored visits to our Hong Kong or London office every 2 years • Company-wide annual offsite (we met in Lisbon in 2023, Bali in 2024, and Istanbul in 2025) • Flexible working hours and location (across Europe and Asia time zones) • Medical insurance for you and your dependents