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Goodnotes · 1 month ago

Engineering Manager – AI Transformation & Developer Experience

Asia Timezone OR Europe Timezone

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

Goodnotes is a company focused on merging human creativity with AI capabilities to enhance productivity and learning. The Engineering Manager will lead a team to develop AI-driven solutions to improve developer experience and productivity within the organization.

AppsComputerConsumerSoftware

Responsibilities

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

Qualification

AI-driven developer productivityProduction AI systemsModern AI/ML ecosystemsProductionizing AI on AWSStakeholder managementSoftware engineeringTechnical prototypingTeam leadershipContinuous learning

Required

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