Full Stack Engineer

Location - SoHo, New York, NY - On-site, 5 Days Per Week)

Compensation - $175,000 – $250,000 Base + 0.2–0.5% Equity

Visa - Visa Sponsorship Not Available

Company Stage - Series A (Recently Raised $20M)

Industry - Artificial Intelligence, Consumer Technology, Fashion Technology, Computer Vision, Recommendation Systems, E-Commerce, Social Commerce

---

About the Company

The company is building the future of AI-powered shopping and personal styling through one of the fastest-growing consumer AI applications in the market.

Its platform combines computer vision, recommendation systems, generative AI, and personalization to help millions of users discover outfits, receive styling recommendations, virtually try on clothing, and shop more intelligently. The platform processes millions of images daily while continuously improving personalized fashion experiences through proprietary AI models.

Backed by Menlo Ventures alongside notable investors including Tony Xu (DoorDash), Karlie Kloss, and the co-founder of Rent the Runway, the company recently closed a $20M Series A and has been featured by Vogue, TIME Best Inventions, Forbes, and has become a Top 100 App Store application across multiple countries.

As a Full Stack Engineer, you'll build highly scalable consumer experiences across frontend applications, backend infrastructure, AI-powered recommendation systems, and data pipelines while working directly with the CEO and a small elite engineering team.

This is an exceptional opportunity to join an AI-native consumer startup where engineers own products end-to-end, collaborate closely with leadership, and build technology used by millions of consumers every day.

---

What You'll Do

• Build and own full-stack product features across Alta's AI-powered shopping platform
• Develop beautiful, high-performance frontend experiences using React, Next.js, and modern web technologies
• Design and build scalable backend services using Python, Node.js, and TypeScript
• Scale backend infrastructure supporting millions of user interactions and image processing workloads
• Build and improve recommendation systems powering personalized shopping experiences and social discovery
• Develop data pipelines (ETL) to process product catalogs from thousands of brands
• Work on AI-powered features including virtual try-on, outfit generation, personalization, and ranking algorithms
• Ship consumer-facing features rapidly through experimentation, A/B testing, and continuous iteration
• Partner closely with Product, Design, AI, and Leadership to launch impactful customer experiences
• Improve product performance, scalability, reliability, and engineering quality
• Contribute to architecture decisions across frontend, backend, infrastructure, and AI-powered product systems
• Translate customer feedback into polished user experiences with exceptional attention to detail

---

Ideal Candidate Background

Experience Requirements

• 2–6 years of full-stack software engineering experience
• Experience building consumer-facing products at scale
• Experience working at VC-backed startups or notable technology companies
• Experience owning features end-to-end from concept through production
• Experience building high-growth consumer products with measurable user impact
• Experience operating in fast-moving startup environments
• Strong product ownership with demonstrated engineering execution
• Experience building data-heavy applications preferred

Technical Requirements

• Strong proficiency with React, Next.js, TypeScript, Python, and Node.js
• Experience building scalable frontend applications with exceptional user experience
• Experience designing backend APIs and production infrastructure
• Strong understanding of modern web architecture and software engineering best practices
• Experience working with AI-powered products, recommendation systems, or computer vision applications preferred
• Experience building ETL pipelines and large-scale data processing systems
• Familiarity with SwiftUI or iOS development is a plus
• Experience working with experimentation frameworks and A/B testing
• Ability to work across frontend, backend, infrastructure, and data engineering
• Strong engineering fundamentals across scalability, performance, and maintainability

Education

• Bachelor's degree in Computer Science or another technical discipline from a top engineering program preferred
• Strong academic background from a Top-30 Computer Science university preferred
• Exceptional candidates with outstanding technical achievements considered

Soft Skills

• Strong product intuition
• Customer-obsessed mindset
• Excellent communication skills
• High ownership mentality
• Comfortable operating in ambiguity
• Strong collaboration skills
• Design-oriented thinking
• Fast learner with high curiosity
• Bias toward execution and rapid iteration
• Passion for consumer products and AI-powered experiences

---

Compensation & Benefits

• Base Salary: $175,000 – $250,000
• Equity Package (0.2–0.5%)
• Fully On-site Engineering Team (SoHo, NYC)
• Opportunity to build one of the fastest-growing AI consumer products
• Direct collaboration with the Founder & CEO
• Small, elite engineering team with significant ownership
• Opportunity to work on proprietary AI models, computer vision, and recommendation systems
• High-impact engineering culture with rapid career growth
• Featured product with millions of users and global recognition
• Opportunity to define the future of AI-powered shopping

---

Why Join

This is an opportunity to build one of the most exciting AI-native consumer applications in the world.

You'll work at the intersection of artificial intelligence, computer vision, recommendation systems, social commerce, and consumer product engineering while shipping experiences used by millions of shoppers globally.

As a Full Stack Engineer, you'll own products from idea through production, collaborate directly with the founder, and build technology that transforms how consumers discover fashion through AI.