Design, build, and support Discord's next generation experimentation platform: scope of work would include core services, data pipelines, configuration tooling, statistical analysis tools and UX.
Collaborate with external (sometimes non-technical) stakeholders and customers throughout the company
Understand and influence product telemetry practices to support experimentation needs.
Use your technical expertise to build delightful user experience and high-scale data systems that power internal teams and product features used by many millions of users every day
Deliver business results by collaborating with stakeholders across Discord to experiment on features, machine learning models and more.
What you should have
You have 7+ years of experience as a full-stack SWE
You have built internal tools, and are familiar with A/B testing and statistical frameworks.
You have experience with experimentation tooling; experience building core parts of experimentation platforms from scratch is a huge plus.
You have extensive experience leading complex technical projects with successful outcomes; you can take a high-level goal and achieve a shippable solution
You have built systems with strong data governance controls that respect privacy and security principles.
You are proficient in Python and SQL. Experience with Typescript or Rust is a plus.
Experience and with and/or exposure to a variety of datastores (relational, NoSQL, data warehouse solutions)
Strong product sense and communication skills - you understand your customers and work well cross-functionally.
A track record of developing engineers at multiple levels, and a habit of tracking industry trends to bring new techniques to technical problems.
Bonus Points
Experience building human-in-the-loop AI systems and AI product evaluation.
Experience with cloud-computing platforms such as Google Cloud Platform or AWS.
Experience with modern data processing stacks.
Full-stack development or product engineering experience.
Deep understanding of statistics, data science, or large scale data processing.