Description

About the Team

The User Insights team within Digital Enterprise Technology (DET) is building foundational architecture for Salesforce’s “Customer Zero” mission — validating software and experimentation at enterprise scale before products reach the broader market.

This is a brand-new, highly autonomous team building a Unified Feature Flag & Experimentation Engine used across Salesforce. You’ll work with modern technologies including Next.js, React, Node.js, AWS, and AI-assisted development workflows.

Role Overview

We’re looking for a strong Full Stack Engineer with balanced frontend and backend experience to help build scalable, customer-facing enterprise products and experimentation platforms.

This role is ideal for a product-minded engineer who enjoys working across the stack, thrives in ambiguous environments, and partners closely with Product Managers and cross-functional teams to deliver impactful solutions.

Responsibilities

• Design, build, and maintain full-stack applications using Next.js, React, Node.js, and AWS
• Develop scalable APIs, backend services, and customer-facing product experiences
• Collaborate with Product Managers, TPMs, and stakeholders to translate business needs into technical solutions
• Own projects end-to-end from architecture through production support (“You Build It, You Run It”)
• Leverage AI tools in day-to-day development workflows to improve speed and quality
• Contribute to code reviews, testing, CI/CD, and engineering best practices
• Support experimentation, feature flagging, and analytics capabilities across the platform

Required Qualifications

• Strong full-stack engineering experience with both frontend and backend development
• Required: Next.js, React, TypeScript, and Node.js experience
• Experience building customer-facing products and modern web applications
• Experience with AWS cloud services and scalable distributed systems
• Strong understanding of APIs, relational databases (Postgres), and data modeling
• Experience working in fast-paced, ambiguous, or high-growth environments
• Excellent communication, collaboration, and stakeholder management skills
• Experience using AI-assisted development tools and reviewing AI-generated code

Preferred Qualifications

• Experience with feature flagging, experimentation, or A/B testing platforms (GrowthBook, LaunchDarkly, Optimizely, etc.)
• Familiarity with Snowflake, Apache Airflow, Terraform, or ETL/data pipelines
• Experience with Docker and Kubernetes
• Startup or product engineering experience preferred

Why Join Us

• Join an early-stage, highly visible team with significant ownership and impact
• Build platforms used across Salesforce by 70,000+ employees
• Work with modern technologies and AI-driven engineering workflows
• Help shape the future of experimentation and product insights at enterprise scale

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.