Senior Software Engineers to join our engineering organization. You'll work on systems that power a $1B+ GMV marketplace, serving over 9 million families annually. Our engineering teams build everything from advertising platforms and commerce tools to registry systems and health products
Qualifications:
- High-performing engineer with 10+ years of experience delivering end-to-end solutions that drive business growth
- Expert with React and Ruby on Rails experience and Python/Django or Javascript/Node.js and are excited about further developing your craft and quality of work
- Proficient using AWS, MySQL, Redis, and NetSuite
- You're adaptable and open to working on different types of problems, from revenue systems to customer-facing features to infrastructure
- Past experience in e-commerce, consumer growth marketing, adtech, or marketplace systems
- You actively use AI coding tools (Copilot, Cursor, Claude Code, or similar) as part of your daily workflow, bring the architectural judgment to know when to trust AI-generated code and when to course-correct, and are comfortable with a higher experimentation rate — including bets that don’t pan out
Responsibilities:
- Provide leadership around process, tooling, systems, and software architecture. We benefit from more knowledge and learning how others solve problems. You will feel excited to bring in new ways of solving problems.
- Improve and help maintain existing systems — and lead the team in adopting AI-first approaches to do it faster
- As a Senior Engineer, you’re expected to help define how we use AI tooling to accelerate code quality, reduce friction, and raise the bar on what’s possible. This includes knowing when AI-generated code needs architectural correction, not just acceptance.
- Work closely with product managers, designers, and data teams to design, implement, and deploy systems that support our growing business
- Make architectural decisions that balance speed, quality, and long-term maintainability
- Work in a close, supportive team solving real-world problems and making decisions
- Mentor other team members through design and architecture planning, code reviews, and knowledge-sharing sessions