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Staff Engineer – Experimentation Team

April 30, 2026

<h4>About the Job:</h4> As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. <h4>Responsibilities:</h4> <ul class="ak-ul" data-local-id="f0d41202-4500-43a9-8b4b-6ddfd7404ab8" data-indent-level="1"> <li> Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis. Ensure statistical correctness across all experiment types. </li> </ul> <ul class="ak-ul" data-local-id="c487b615106e" data-indent-level="1"> <li> Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. </li> </ul> <ul class="ak-ul" data-local-id="4312e12305d6" data-indent-level="1"> <li> Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. </li> </ul> <ul class="ak-ul" data-local-id="bc1cee49accd" data-indent-level="1"> <li> Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. </li> </ul> <ul class="ak-ul" data-local-id="7b7a37e69988" data-indent-level="1"> <li> Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. </li> </ul> <ul class="ak-ul" data-local-id="084267b0c466" data-indent-level="1"> <li> Mentor engineers and raise the team's bar for statistical rigor and system design. </li> <li> Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting. </li> </ul> <h4>Qualifications:</h4> <ul class="ak-ul" data-local-id="3d814296-4fde-47e7-b0ca-34d2aae9ecc1" data-indent-level="1"> <li> 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. </li> </ul> <ul class="ak-ul" data-local-id="418c4277f9af" data-indent-level="1"> <li> Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction (CUPED), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs. </li> </ul> <ul class="ak-ul" data-local-id="5b2ee075a94d" data-indent-level="1"> <li> Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL-based allocation. </li> </ul> <ul class="ak-ul" data-local-id="bda97bc4e08a" data-indent-level="1"> <li> Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar. </li> </ul> <ul class="ak-ul" data-local-id="8df9bc3fdc93" data-indent-level="1"> <li> Expertise in Go, Python, or similar for backend services and statistical computation. </li> </ul> <ul class="ak-ul" data-local-id="862551c5d059" data-indent-level="1"> <li> Experience with event-driven architectures, data pipelines, and large-scale data processing. </li> </ul> <ul class="ak-ul" data-local-id="24f94e3970ac" data-indent-level="1"> <li> Cloud environments (AWS, GCP) with infrastructure-as-code. </li> </ul> <ul class="ak-ul" data-local-id="c2a5bafab527" data-indent-level="1"> <li> Technical leadership: setting direction, breaking down complex problems, influencing across teams. </li> </ul> <ul class="ak-ul" data-local-id="d6ef6ba42a29" data-indent-level="1"> <li> Ability to translate statistical concepts for product and engineering audiences. </li> </ul> <div> Pay: Target pay ranges based on Geographic Zones* for Level 5: <ul class="ul1"> <li class="li1">Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350*</li> <li class="li1">Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**</li> <li class="li1">Zone 3: All other US locations - $182,600 - $251,0202**</li> </ul> LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. </div> <h4>About LaunchDarkly:</h4> Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: <ul> <li>Improving the velocity and stability of software releases, without the fear of end customer outages</li> <li>Delivering targeted experiences by easily personalizing features to customer cohorts</li> <li>Maximizing the business impact of every feature through the ability to experiment and optimize</li> <li>Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types</li> <li>Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability</li> </ul> At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at <a href="mailto:hr@launchdarkly.com">hr@launchdarkly.com</a>. Do you need a disability accommodation? Fill out this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdYb_7upYMtdRVXzvXGHGfQw0pU2FNma-6Rwp-I6NjKm7SYNw/viewform">accommodations request form</a> and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @<a href="http://launchdarkly.com" target="_blank">launchdarkly.com</a> email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit <a href="https://launchdarkly.com/careers/" target="_blank">Careers | LaunchDarkly</a> directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to <a href="mailto:careers@launchdarkly.com" target="_blank">careers@launchdarkly.com</a>.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...