Growth Engineer

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride!

Docker is a remote-first company with employees across Europe and the Americas that simplifies the lives of developers who are building world-changing apps. With over 18M developers using Docker each month and more than 70% of the Fortune 100 relying on Docker, we are shaping the future of cloud-native development.

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 organizations 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.

• 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.

• 5+ years of experience of full-stack or frontend development.

• Implementing desktop applications using the Electron framework.

• Direct experience implementing A/B Testing and Personalization using Adobe Target.

• Built data pipelines to generate metrics for the purposes of experimentation guide rails.

• 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.

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

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.

Please see the independent bias audit report covering our use of Covey here.

Perks

• Freedom & flexibility; fit your work around your life

• Designated quarterly Whaleness Days

• Home office setup; we want you comfortable while you work

• 16 weeks of paid Parental leave

• Technology stipend equivalent to $100 net/month

• PTO plan that encourages you to take time to do the things you enjoy

• Quarterly, company-wide hackathons

• Training stipend for conferences, courses and classes

• Equity; we are a growing start-up and want all employees to have a share in the success of the company

• Docker Swag

• Medical benefits, retirement and holidays vary by country

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

Due to the remote nature of this role, we are unable to provide visa sponsorship.

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