Growth Engineer, Docker

• 3+ years of full-time software engineering work experience
• Proficient using Javascript/Typescript and React to build user interfaces
• Implementing growth experiments and A/B testing in frontend code, client-side or backend choose calls by emitting events
• Utilizing feature flagging tools such as Adobe Target, Unleashed, or similar technologies
• Experience with Snowflake integrations and dashboard tools such as Heap, Sigma and Looker
• Familiarity with data, data-pipeline and data storage technologies for the purposes of metrics and experiment analysis
• Exposure to backend API and server-side software development utilizing Golang or similar programming languages
• Strong communicator and collaborator with a pragmatic and flexible approach to experimentation and iteration
• Outcome-oriented and self-directed, with a passion for improving developer experience and product usability at scale
• Obsessed with growth and measuring success with metrics
• Flexible and dynamic, comfortable with ambiguity as well as precise requirements
• Works well with and builds trust across all organizations at any level
• Having a great sense of humor is a plus

Desirable

• We are looking for a Growth Engineer to join our Growth Product team and directly contribute to Docker’s product-led growth engine
• This role will partner closely with Product, Design, Marketing, and Data to build, launch, and optimize high-impact growth experiments across Docker Desktop, Hub, Scout, and more
• This is a full-stack engineering role focused on delivering measurable business outcomes like increased activation, retention, and expansion—by using code, data, and experimentation to help millions of developers get to value faster
• Build and ship behavior-based user experiences that drive onboarding, activation, and retention across Docker’s product suite
• Design and implement end-to-end growth experiments—from hypothesis to implementation to post-launch analysis
• Use product data and funnel analytics to identify friction, uncover opportunities, and prioritize engineering work that delivers business impact
• Collaborate with Product, Design, Data, Marketing, and Ops teams to deliver high-velocity experiments that improve core funnel metrics
• Write production-grade code across Docker’s stack, including frontend (React/JavaScript), backend (Go/Python), and cloud services
• Own implementation and maintenance of tracking instrumentation for Heap and Looker dashboards
• Own implementation of Adobe Target as an experimentation, personalization, and optimization engine
• Leverage A/B testing frameworks and in-app engagement tools to optimize personalized user journeys
• Build internal tools and automation to support rapid iteration and testing infrastructure
• Share experiment outcomes, insights, and next-step recommendations with stakeholders across product and business functions
• In the first 30 days:
• Onboard with the PLG team and our experimentation framework
• Ship your first experiment or product improvement with guidance from senior teammates
• Familiarize yourself with Docker’s codebases, analytics, and growth metrics
• In the first 90 days:
• Own and deliver multiple growth experiments across core surfaces
• Improve tracking, dashboards, or in-app engagement in targeted PLG flows
• Partner with PMs and analysts to iterate based on results and user signals
• In the first year:
• Deliver measurable improvements to key metrics such as activation, retention, or expansion
• Contribute to a repeatable growth experimentation system that supports Docker’s self-service revenue goals
• Influence the direction of Docker’s growth engine and become a technical leader within the PLG team