Fullstack Engineering Lead (AI & Data Context Platform)

TL;DR

Fullstack Engineering Lead (AI & Data Context Platform): Architecting and driving the development of a high-performance data platform with an accent on building scalable, responsive applications for complex data visualizations and interactions. Focus on performance optimization, code quality, testing, and performance optimization.

Location: Bay Area (hybrid, 3 days in Palo Alto office)

Salary: $225,000 to $300,000

Company

hirify.global is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa.

What you will do

• Architect, build, and lead the development of high-performance web applications with a focus on scalability and user experience.
• Collaborate with product, design, and backend teams to deliver seamless user experiences.
• Drive technical decisions and architecture choices that enable rapid product iteration while maintaining system reliability.
• Establish performance metrics and optimization strategies for complex data visualizations and interactions.
• Mentor and guide a team of engineers, fostering best practices in code quality, testing, and performance optimization.
• Lead code reviews and technical discussions to ensure high-quality implementation.

Requirements

• 8+ years of full-stack engineering experience, with at least 3 years in a technical leadership role.
• Proven track record of building and scaling consumer-facing web applications that handle significant user traffic.
• Deep expertise in React, TypeScript, a JS testing framework (cypress, enzyme, react-testing), and modern frontend architecture patterns.
• Strong experience with performance optimization, including code splitting, lazy loading, and state management.
• Expertise in GraphQL and frameworks like Apollo, with experience optimizing query performance and caching strategies.
• Experience with real-time data visualization and complex UI interactions.

Nice to have

• Experience working with hirify.global.
• Previous experience at an early-stage startup.
• Knowledge of data governance and security best practices.
• Track record of implementing data quality frameworks.
• Contributing to open-source projects.

Culture & Benefits

• Competitive salaries that reflect your skills, experience, and the impact you make.
• Every team member receives an ownership stake in the company.
• All roles are remote unless otherwise specified in the job description.
• Flexible savings accounts to help cover planned or unexpected healthcare costs.
• Unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.