Staff Software Engineer I

About The Role

Build end-to-end solutions by designing and implementing full-stack features across frontend and backend systems. Contribute hands-on in React, TypeScript, and Python stacks, and directly develop AI-powered capabilities such as agentic workflows, LLM integrations, and MCP-based tooling.

• Set technical standards by establishing and upholding best practices for code quality, performance, accessibility, testing, and maintainability through reviews and contributions.
• Collaborate cross-functionally with product, design, and engineering teams to shape requirements, define APIs, and deliver cohesive user experiences.
• Drive execution by breaking down complex initiatives, providing reliable estimates, and ensuring delivery from development through production.
• Mentor engineers by supporting their growth through pairing, code reviews, and ongoing technical guidance.

Requirements

• 6+ years of professional software engineering experience building and shipping production web applications used by real customers, with active, hands-on coding contributions in the last 2–3 years.
• Strong experience with modern frontend frameworks such as React, along with a solid understanding of TypeScript and frontend architecture.
• Hands-on experience building APIs and services with Python as a core language, working knowledge of Node.js, and familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration frameworks, and Model Context Protocol (MCP).
• Proven ability to lead through influence rather than authority, improving systems, reducing technical debt, and guiding architectural decisions.
• Comfortable operating in fast-paced, ambiguous environments, with strong communication skills and a collaborative mindset.

Preferred Qualifications

• BA or BS in Computer Science or equivalent practical experience.
• Experience with performance optimization for web applications, including monitoring, profiling, and tuning for scale.
• Hands-on experience building AI-powered product features, including working with LLM APIs, RAG pipelines, or agentic workflows in a production environment.
• Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features.

Benefits

• Hybrid work model with flexible arrangements, including work from anywhere for up to 8 weeks per year.
• Comprehensive benefits: flexible vacation, two company-wide Mental Health Days off, Headspace app access, retirement savings with company match, tuition reimbursement, and employee incentive programs.
• Career development and growth through continuous learning programs and a skills-first approach.
• Social impact opportunities: two paid volunteer days off annually, pro-bono consulting projects, and ESG initiatives.
• Additional benefits: optional hospital, accident, sickness, life, and AD&D insurance; Flexible Spending and Health Savings Accounts; fitness reimbursement; Employee Assistance Program; Group Legal Identity Theft Protection; 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; and Employee Stock Purchase Plan.

Pay

Base compensation range varies by location:

• New York City, San Francisco, Los Angeles, Irvine, CA; McLean, VA; Washington, DC: $136,000 USD - $253,000 USD.
• Other eligible US locations: $118,400 USD - $219,800 USD.
• Ontario, Canada: $140,600 CAD - $190,600 CAD.

Base pay is positioned within the range based on knowledge, skills, experience, and internal equity. This role may also be eligible for an Annual Bonus based on enterprise and individual performance.