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.