BackEnd Engineer: Experiments

ABOUT US

The company is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. The company is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

ABOUT THE TEAM

The Experiments team at the company builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic.

We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage.

Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager.

THE ROLE

This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure.

Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry

(Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.)

WHAT YOU’LL DO

• Build and maintain backend services for experiment assignment, logging, and report generation

• Improve scalability, performance, and reliability of experiment reporting pipelines

• Add product-facing features to the UI to help users launch experiments and interpret results

• Take technical ownership of projects: shape solutions, break down work, and drive execution with the team

• Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions)

You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls.

REQUIREMENTS

MUST-HAVE

• Strong experience building and owning production backend services in Python

• Experience with monitoring, alerting, and debugging user-facing systems

• Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics)

• Ability to ship maintainable software (tests, code review, incremental delivery)

MINDSET

• You take ownership: you can turn ambiguous problems into an executable technical plan

• You care about building systems people trust and rely on

NICE-TO-HAVE

• Experience with experimentation systems, metrics platforms, or A/B testing workflows

• Experience with PySpark and/or Databricks

• We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain

LOCATION / TIME ZONES

• We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible

BENEFITS

• 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year

• 🌎 Fully remote team - choose where you live

• 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office

• 💻 Apple laptops provided for new employees

• 🧑‍🎓 Training and development budget - refreshed each year for every employee

• 👪 Maternity & Paternity leave for qualified employees

• 🧠 Work with smart people who will help you grow and make a meaningful impact

• 💵 Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results

• 📈 Stock options - offered in addition to the base salary

• 🎉 Regular team offsites to connect and collaborate

DIVERSITY, EQUITY, AND INCLUSION AT the company

At the company [link for members] we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.

How we handle your data. By submitting this application, you acknowledge that the company will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice [link for members] After that period your data will be deleted or anonymized.