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- Tasks: Lead a team to create AI-powered tools that enhance developer productivity and happiness.
- Company: Join Goodnotes, a visionary tech startup transforming digital note-taking with AI.
- Benefits: Enjoy meaningful equity, flexible hours, wellness budget, and sponsored global office visits.
- Why this job: Be at the forefront of AI innovation, shaping the future of developer experience.
- Qualifications: 8+ years in software engineering with leadership experience in AI-driven transformations.
- Other info: Collaborative culture focused on continuous learning and impactful AI solutions.
The predicted salary is between 48000 - 72000 £ per year.
At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we're merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.
Our Values:
- Dream big — Be visionary, strategic, and open to innovation
- Build great things — Work in service of our users, always improving and pushing higher
- Operate like an owner — Take responsibility with bold decision-making and bias for action
- Win like a sports team — Be trusting and collaborative while empowering others
- Learn and grow fast — Never stop learning and iterate fast
- Share our passion — Share ideas and practice enthusiasm and joy
- Be user obsessed — Empathetic, inquisitive, practical
About the team:
This role is perfect for an engineering leader who is passionate about using AI to supercharge developer productivity and happiness. You will own both (1) building an internal "AI agency" that delivers high-impact AI solutions across all functions, and (2) fundamentally improving how our 200+ engineers build software—tooling, workflows, CI/CD, code generation/review, local dev environments, knowledge retrieval, and engineering intelligence.
About the role:
This is the role for you if you're excited to work on the things listed below:
- Lead and mentor a small engineering team dedicated to designing, developing, and deploying AI-powered productivity solutions internally.
- Lead the transformation of our engineering practices by applying AI to developer tooling and workflows (e.g., AI-assisted code review, test generation, documentation, debugging, onboarding ramps, engineering metrics/dashboards, and internal knowledge retrieval).
- Own the Developer Experience roadmap in close partnership with platform and toolchain teams; measure and improve key metrics such as build times, deployment frequency, PR cycle time, and engineer satisfaction.
- 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.
The skills you will need to be successful in the above:
- 8+ years in software engineering, with at least 3–4 recent years in a DevEx/platform/infrastructure leadership role at a high-growth tech company.
- Proven track record of leading AI-driven developer productivity transformations (examples: AI code assistants, automated testing frameworks, RAG-based internal search, engineering copilots, or similar initiatives that delivered measurable velocity/quality gains).
- Demonstrated experience building and deploying production AI systems—ideally internal tools that engineers love using every day.
- Hands-on technical leader: still writes and reviews code regularly, prototypes quickly, and can dive deep when needed.
- Deep expertise with modern AI/ML ecosystems (PyTorch, LangChain, OpenAI/Anthropic/Cohere APIs, vector DBs, RAG, agent frameworks, evaluation tooling) and developer platforms (GitHub Actions, Buildkite/CircleCI, Kubernetes/EKS, observability stacks, Backstage or similar).
- Strong experience productionizing AI on AWS (EKS, Bedrock, SageMaker, RDS/Vector stores, Terraform/Infra-as-Code).
- Exceptional stakeholder management: able to translate vague "this is slow" complaints from engineers or other departments into concrete, high-ROI AI solutions.
- Passion for both (a) shipping delightful internal products and (b) removing friction from the daily life of engineers.
Even if you don't meet all the criteria listed above, we would still love to hear from you! Goodnotes places a lot of value on learning and development and will support your growth if needed.
The interview process:
- An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you'd like to join Goodnotes.
- Live system design & Technical interview: two 1-hour live system design exercises about software and ML with some of our engineers. This is where you get to see what it would be like working at Goodnotes as well as the chance to ask any engineering questions you may have.
- Hiring Manager interview: A call with your hiring manager who is overseeing and managing entire engineering function in Goodnotes. This is the person who will be managing you day to day, working on your growth and development with you as well as support you throughout your career at Goodnotes.
- Values interview – Meeting with members of the Goodnotes Team to answer behavioral questions related to our Values.
- CEO interview: A call with our founding CEO.
What's in it for you:
- 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
Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.
Engineering Manager – AI Transformation & Developer Experience in London employer: Goodnotes
Contact Detail:
Goodnotes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager – AI Transformation & Developer Experience in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Goodnotes. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by diving deep into AI and developer experience topics. Show us you're not just a candidate, but someone who’s genuinely excited about transforming how engineers work!
✨Tip Number 3
Practice your storytelling skills. When you get the chance to share your experiences, make them engaging and relevant to the role. We want to see your passion for AI and how you've made an impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Engineering Manager – AI Transformation & Developer Experience in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and developer experience shine through. We want to see how you can merge creativity with technology, so share any relevant projects or experiences that highlight your passion!
Tailor Your Application: Make sure to customise your application to reflect the specific role and values of Goodnotes. Highlight your experience in leading AI-driven transformations and how you've improved developer productivity in past roles. We love seeing candidates who align with our mission!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and skills, especially those related to AI and software engineering. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Goodnotes!
How to prepare for a job interview at Goodnotes
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies and tools relevant to the role. Familiarise yourself with concepts like LLMs, generative AI, and predictive analytics. Being able to discuss these topics confidently will show that you're not just a leader but also a hands-on technical expert.
✨Showcase Your Leadership Style
Prepare examples of how you've led teams in the past, especially in transforming developer experiences. Think about specific projects where you implemented AI solutions that improved productivity. This will help demonstrate your ability to mentor and inspire your future team.
✨Understand the Company Values
Goodnotes values innovation, collaboration, and user obsession. Be ready to discuss how your personal values align with theirs. Share stories that reflect your passion for building great things and your commitment to continuous learning and improvement.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions that show your interest in the role and the company. Inquire about their current challenges in developer experience or how they envision AI transforming their workflows. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
