Senior Product Engineer

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that’s reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it’s the quality and diversity of human-generated data that truly differentiates products and models.

What you’ll bring to the role

• Deep understanding of modern web applications
• Experience building TypeScript/JavaScript applications and using NoSQL databases
• Experience using Python
• Knowledge of Event-Driven Architecture
• Experience using AWS (Serverless) and/or GCP
• Understand the importance of driving quality into code through test automation
• Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment (e.g. Rum, Tracing)
• Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like
• Care about the product life cycle and are customer value focused
• Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback
• Passionate about software development with an appetite for learning and self-improvement

What you’ll be doing in the role

• As a member of a cross-functional, stream-aligned team, you will work collaboratively with the team’s engineering manager, product manager, designer, and up to 4-5 other engineers, including a tech lead
• Using agile software development practices and a product mindset, you will work as a team to plan, build, and support software that our customers love
• You will be highly self-motivated and energetic and enjoy working in a fast-paced environment with a bias for action
• Collaborating with teams outside of product engineering, working closely with customers and understanding their needs
• Be happy working in all the major cloud providers: AWS, GCP, and Azure
• With a You Build It, You Run It mindset, you will have intimate knowledge of our products from code commit through to production operation
• Supporting production systems with monitoring tools such as Datadog
• Strive for stable systems observability
• You will champion our principles, fuel a growth mindset by getting involved in communities, and help improve our engineering culture
• Pushing the boundaries, questioning the status quo, ensuring what we are doing and what we are building has high value and impact for our users

Key Technologies

• Cloud Platforms: Google Cloud Platform and AWS
• Programming Languages: Python, JavaScript, and TypeScript
• Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures
• Databases: MongoDB and DynamoDB
• DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge, and Datadog