Full Stack Engineer (D2C), San Francisco, CA

Who You Are

• We're looking for a product-minded, AI-native engineer who doesn't just ship features - but builds intelligent systems. AI is not an add-on here; it's embedded into how we design, build, and scale.
• If you actively leverage AI to move faster, think in systems, and enjoy operating in ambiguity - this role is for you.

What You'll Do Here

• Collaborate closely with engineers, product managers, designers, and cross-functional partners to build scalable, AI-powered product experiences.
• Design, implement, and maintain highly scalable and performant backend services using Ruby on Rails.
• Build modern, responsive frontend applications using React.js (and React Native where applicable).
• Integrate AI-driven capabilities into business workflows (LLM-powered features, intelligent automation, semantic search, copilots, or workflow agents).
• Architect systems that combine traditional service-oriented architecture with AI components (model APIs, orchestration layers, evaluation loops).
• Continuously improve code quality through refactoring, automated testing, system testing, and deployment automation.
• Leverage AI development tools responsibly to increase velocity and maintain high-quality standards.
• Review code developed by other engineers and provide thoughtful feedback on performance, scalability, security, and maintainability - including AI-generated code.
• Maintain a deep understanding of business requirements and partner with stakeholders to design thoughtful, scalable solutions.
• Collaborate across marketing, platform, DevOps, data, product, and analytics teams to ensure engineering decisions align with broader company goals.
• Use data and experimentation to make informed engineering and product decisions.
• Monitor production systems, including AI-driven features, using observability and monitoring tools.

What You Bring

• 2+ years of professional experience as a software engineer.
• 2+ years of production experience with Ruby on Rails.
• 2+ years of experience with React.js or React Native.
• Hands-on experience integrating or building AI-powered features into business workflows (e.g., LLM integrations, AI-assisted user experiences, automation pipelines).
• Experience designing, building, deploying, operating, and maintaining service-oriented architectures.
• Strong experience with relational and non-relational databases.
• Experience navigating ambiguous and complex project requirements with ownership and clarity.
• Experience with observability and monitoring systems (NewRelic, CloudWatch, Sentry).
• Strong written and verbal English communication skills.
• A product mindset with the ability to balance deterministic software systems and probabilistic AI systems.

Bonus Points For

• Experience building AI copilots, internal productivity tools, or intelligent automation systems.
• Familiarity with vector databases, embeddings, semantic search, or AI retrieval patterns.
• Exposure to Elasticsearch.
• Experience with React Native.
• Experience working with Docker and containerized environments.
• Familiarity with the Amazon AWS ecosystem.
• Experience working in a small, fast-moving team, ideally at a startup.
• Contributions to AI-related side projects, prototypes, or open-source initiatives.

Why This Role Is Different

• AI is embedded in our product strategy and engineering culture.
• Engineers are encouraged to experiment, prototype, and rethink workflows through intelligent automation.
• You'll help shape how AI is implemented across the organization - not just consume APIs.

Additional information

The following compensation information is provided to comply with job posting disclosure requirements in Colorado, New York, Washington, and California.

Base Pay Range

$140,000.00 - $160,000.00. Base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements. Range is dependent on the leveling process during the interview process.