Software Engineer, Data Growth

As a Software Engineer in Data Growth, you will help transform how web3 customers discover, onboard, and adopt products by building scalable automation, self-service experiences, and intelligent workflows. This role exists to reduce operational complexity, accelerate customer onboarding, and improve the efficiency of growth-related processes through modern software engineering, AI-enabled solutions, and systems thinking.

• Design and build automation capabilities that reduce manual effort across customer onboarding and operational workflows.

• Develop self-service experiences that enable customers to onboard, configure, and access products with minimal human intervention.

• Improve customer growth outcomes by reducing onboarding cycle times and increasing process scalability.

• Re-architect systems and workflows to support efficient provisioning, data sourcing, and customer enablement.

• Apply AI technologies and modern engineering practices to identify opportunities for process transformation and operational efficiency.

• Collaborate across technical and business teams to solve complex problems and create sustainable, scalable solutions.

• Drive continuous improvement by identifying bottlenecks, eliminating friction, and improving end-to-end customer experiences.

• Experience building software products or platforms using TypeScript.

• Experience leveraging AI technologies, tools, or frameworks to improve products, workflows, or operational processes.

• Exposure to Web3 technologies, ecosystems, or decentralized applications, or experience in electronic trading environments.

• Strong systems-thinking capabilities with the ability to understand complex interconnected processes and architectures.

• Demonstrated ability to rapidly learn, analyze, and solve complex technical and operational problems.

• Experience designing and implementing automation solutions that improve efficiency and scalability.

• Strong collaboration and communication skills with the ability to work across multiple stakeholders and functions.

• Experience developing applications or services using Golang.

• Experience building self-service platforms, onboarding systems, or workflow automation products.

• Familiarity with customer growth, onboarding, provisioning, or operational excellence initiatives.

• Experience improving data sourcing, data quality, or data integration processes.

• Knowledge of distributed systems, APIs, and cloud-native architectures.

All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST).

We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date.

Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.

Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit, is subject to our Recruiting Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.