Full Stack Product Engineer

Job summary

Own product features end to end, from discovery and architecture through frontend experiences, backend APIs, and data models. Build AI-powered marketing and growth products, analytics systems, experiment-management tools, and scalable SaaS workflows in collaboration with Product, Design, customers, and ML Engineers.

Job details

Full Stack Product Engineer 💰 $180K–$320K + ISO Equity | 🌎 Remote — US/Canada | 🚀 Full-Time Visa: H-1B Transfer, TN, O-1 & OPT Transfer | About the Role We’re hiring Senior Full Stack Product Engineers to build the next generation of AI-powered marketing and growth products. You’ll own features end-to-end—from product discovery and architecture to polished frontend experiences, backend APIs, and data models. You’ll work closely with Product, Design, Customers, and ML Engineers to turn complex AI/ML capabilities into intuitive products used by non-technical users. What You’ll Build 🚀 0→1 product features for SaaS marketing and growth platforms 📊 Analytics, observability, and marketing intelligence systems 🤖 Interactive interfaces powered by AI/ML models 🧪 Tools for designing and managing complex growth experiments 🔧 Scalable APIs, data models, CRUD workflows, and frontend systems What We’re Looking For Must-Have 5–12 years of software engineering experience; Senior level minimum 2+ years at a fast-paced Series A–D startup building high-quality SaaS products Strong full-stack/product engineering background Expert-level TypeScript + SQL and working proficiency with Go Strong understanding of API design, databases, migrations, data models, and CRUD applications Proven experience building customer-facing, user-centric products Ability to independently architect complex frontend systems Demonstrated ownership, career growth, and increasing technical responsibility Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or Electrical Engineering from a top-40 university You’ll Thrive Here If You Have Strong product intuition and customer empathy Excellent communication and cross-functional collaboration skills High technical aptitude, curiosity, and ownership Experience taking products/features from 0→1 Comfort working in a fast-moving startup environment Not a Fit If Your recent experience is primarily software consulting/services You haven’t spent approximately 2+ recent years at a product-focused startup Your roles have consistently been short-term without meaningful ownership or progression Tech Stack React • TypeScript • Go • SQL • APIs • SaaS • AI/ML • Data/Analytics Why Join? Build highly interactive, AI-powered products at the intersection of software engineering, marketing technology, analytics, and machine learning—with substantial ownership and direct customer impact. 📍 Remote: US & Canada | 💵 $180K–$320K | 🛂 Visa Transfers/Sponsorship Available

What you’ll do

Own product features end to end, from discovery and architecture through frontend experiences, backend APIs, and data models. Build AI-powered marketing and growth products, analytics systems, experiment-management tools, and scalable SaaS workflows in collaboration with Product, Design, customers, and ML Engineers.

Requirements

Requires 5–12 years of software engineering experience, including at least two years at a fast-paced product-focused startup in a senior role, with strong full-stack product engineering experience and expert TypeScript and SQL skills plus working proficiency in Go. Candidates must have a relevant bachelor’s degree from a top-40 university and demonstrate customer-focused product development, frontend architecture, technical ownership, and career progression.

Benefits

• Equity

Listed skills

• TypeScript · Preferred
• SQL · Preferred
• Go · Preferred
• React · Preferred
• Data analysis · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Full-Stack Engineering
• Product Engineering
• TypeScript
• SQL
• Go
• React
• API Design
• Database Design
• Data Modeling
• Frontend Architecture
• SaaS Development
• AI/ML Integration
• Analytics
• Customer-Facing Product Development
• Cross-Functional Collaboration

Job areas

• Software
• Technology
• Marketing
• Data & Analytics
• Engineering