Senior Software Engineer

Babylist is the leading platform for expecting and new families, generating $750M in revenue in 2025. They are hiring Senior Software Engineers to work on systems that power a $1B+ GMV marketplace, focusing on revenue growth, product experience, and platform infrastructure.

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

Requirements:

• 6+ years of experience delivering end-to-end solutions that drive business growth
• Experience testing, monitoring, and running production software systems
• React and Ruby on Rails experience (or similar tech stack experience like Python/Django or Javascript/Node.js with strong desire to learn Ruby on Rails)
• Passion for identifying gaps in team processes or execution and love driving impactful improvements
• Adaptable and open to working on different types of problems, from revenue systems to customer-facing features to infrastructure
• Pay close attention to detail
• Actively use AI coding tools (Copilot, Cursor, Claude Code, or similar) as part of daily workflow
• Bring the architectural judgment to know when to trust AI-generated code and when to course-correct
• Comfortable with a higher experimentation rate — including bets that don't pan out
• Past experience in e-commerce, consumer growth marketing, adtech, or marketplace systems