Staff Software Engineer (Experimentation Platform)

• We are looking for a Staff Software Engineer to lead the development of Discord’s next-generation experimentation platform, including building state-of-the-art AI assisted experimentation workflows

• You will lead and mentor engineers, fostering their growth and enhancing their skills

• 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

Benefits

• Discord HQ: At Discord, we believe great work can happen anywhere, whether in person or virtually. Our flexible work model empowers our people to choose where they work best: at home, in one of our offices like our San Francisco HQ, or a mix of both.

• Grow together: Look forward to developing both professionally and personally alongside your colleagues at Discord. All of our managers go through a leadership program, and we offer enriching trainings for everyone. No matter what your interests or skills are, there’s a place on our platform for you to find and build belonging.

• Money matters: Discord strives to offer fair and competitive compensation packages, including equity. You’ll have room to grow and be rewarded based on your contributions and impact at the company. Take advantage of our retirement offerings (including 401k matching in the US) to meet your financial goals.

• Health benefits; At Discord, we health-care about you! We offer medical, dental, vision, reproductive, gender-affirming, and mental healthcare to our employees.

• Family support: Spend some quality time with the next generation with 12+ weeks parental leave, as well as fertility, adoption, and surrogacy benefits.

• R&R: Stay refreshed with four weeks of PTO, 16 paid holidays each year including a week off for the winter holidays, and flexible sick time (which includes mental health days).

• Wellness on us: Take advantage of a $375 quarterly stipend for your gym membership or other activities to keep you feeling great.

• Giving back: Whatever social cause you’re passionate about, take a day (or two) off to make an impact. While you’re at it, take advantage of $1,000/year in donation matching to charitable organizations!- You are proficient in Python and SQL. Experience with Typescript or Rust is a plus

• Strong product sense and communication skills - you understand your customers and work well cross-functionally

• Experience and with and/or exposure to a variety of datastores (relational, NoSQL, data warehouse solutions)

• 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 experience with experimentation tooling; experience building core parts of experimentation platforms from scratch is a huge plus

• You have 7+ years of experience as a full-stack SWE

• A track record of developing engineers at multiple levels, and a habit of tracking industry trends to bring new techniques to technical problems

• You have built internal tools, and are familiar with A/B testing and statistical frameworks

• You have built systems with strong data governance controls that respect privacy and security principles

• Experience building human-in-the-loop AI systems and AI product evaluation

• Experience with cloud-computing platforms such as Google Cloud Platform or AWS

• Deep understanding of statistics, data science, or large scale data processing

• Full-stack development or product engineering experience

• Experience with modern data processing stacks