Member of Technical Staff
$120k - $170kRecruiting from Scratch
Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Member of Technical Staff (Founding Engineer) Location: San Francisco, CA (North Beach) Company Stage of Funding: Seed Stage / AI Commerce Infrastructure Startup Office Type: On-site (5 days/week in San Francisco) Salary: $120,000 - $170,000 Base Equity: 0.25% - 0.75% Bonus: Competitive total compensation package Visa: Open to visa sponsorship and relocation support (candidate must already be located in the U.S.)
Company Description Our client is building the commerce layer for AI. The platform enables AI agents such as ChatGPT, Claude, Gemini, and other frontier models to understand, reason about, and transact with products across the real economy. The company transforms product data into formats optimized for AI-native commerce and agent-driven shopping experiences. Founded in 2025 and currently operating with a lean team of approximately 5 employees. Raised $3M in seed funding and founded by operators who previously helped build Cash App Commerce and other large-scale commerce platforms. The company sits at the intersection of AI infrastructure, ecommerce, search, retrieval systems, and agentic APIs. Catalog partners directly with ecommerce brands and frontier AI labs to bridge the gap between traditional commerce systems and AI-native purchasing experiences. Engineers work directly alongside founders and have significant influence on architecture, product direction, customer conversations, and company culture. The team operates in a high-trust, high-intensity startup environment focused on rapid execution and ownership. The company is building foundational infrastructure that could become a critical layer in the emerging AI commerce ecosystem.
What You Will Do Build backend infrastructure powering AI-native commerce systems Design and ship production APIs, retrieval systems, search infrastructure, and data pipelines Build systems that enable AI agents to understand, reason about, and transact with product data Develop embeddings pipelines, vector search architectures, recommendation systems, and information retrieval infrastructure Own projects end-to-end from architecture and design through deployment and iteration Collaborate directly with founders on product strategy and technical direction Build scalable systems for structured product data ingestion and transformation Develop agentic APIs used by frontier AI models and applications Improve data quality, search relevance, and retrieval performance across the platform Participate in customer conversations and help shape product roadmap decisions Leverage modern AI coding tools to maximize engineering velocity Help define engineering culture and technical standards as one of the earliest engineers Drive technical decisions across backend, infrastructure, and AI systems Operate in a fast-moving startup environment with significant ownership Help establish long-term technical foundations for future company growth
Ideal Candidate Background 1-5 years of software engineering experience Experience building backend systems, APIs, data pipelines, or infrastructure products Experience shipping 0-to-1 products used by real customers Experience at startups or highly regarded technology companies Strong backend engineering fundamentals Experience building production-grade APIs and distributed systems Experience with search infrastructure, embeddings, retrieval systems, recommendation systems, or data platforms Strong interest in AI-native products and infrastructure Experience using AI coding tools such as Cursor, Copilot, Claude Code, or similar Bachelor's degree in Computer Science or related technical field Graduated from a strong technical university Strong ownership mentality and willingness to work directly with founders Comfortable operating in highly ambiguous startup environments Strong communication and collaboration skills Interest in entrepreneurship, startups, and building products from scratch Ability to work onsite in San Francisco five days per week
Strong Signals Experience at companies such as Cursor, Replit, Vercel, Cohere, Modal, Pinecone, LangChain, Weaviate, Anyscale, Supabase, Convex, Neon, Mercury, Ramp, Brex, Shopify, Stripe, Square, Databricks, Hugging Face, Snowflake, or similar Startup experience with significant product ownership Active GitHub profile with meaningful side projects Personal projects demonstrating technical curiosity and initiative Experience building APIs, search systems, recommendation engines, or retrieval infrastructure Experience with vector databases, embeddings, semantic search, or ranking systems AI-native engineering workflows and tooling History of shipping products quickly and independently Strong backend engineering depth Strong technical curiosity outside of work Evidence of entrepreneurial ambition Experience working directly with customers Strong product intuition 0-to-1 startup building experience Ability to thrive in high-intensity startup environments Track record of ownership and execution
Compensation and Benefits Base salary: $120,000 - $170,000 Equity: 0.25% - 0.75% Visa sponsorship available Relocation assistance available Direct exposure to founders and company strategy Opportunity to shape engineering culture from the earliest stages High ownership and visibility across the organization Work alongside experienced founders from Square and Cash App Opportunity to help build foundational infrastructure for AI commerce Rapid learning environment with broad technical exposure Significant upside through equity ownership Fast-moving startup with strong market opportunity
Why Join This is an opportunity to join one of the earliest teams building infrastructure for AI-native commerce. The company is tackling a foundational problem: helping AI agents understand and transact with products across the real economy. As a founding engineer, you'll have outsized influence on architecture, product direction, engineering culture, and company success. The team is exceptionally small, creating opportunities for ownership and growth that are difficult to find elsewhere. You'll work directly with experienced founders who have previously helped build products at massive scale. The technical challenges span AI infrastructure, retrieval systems, search, ecommerce data, APIs, and agentic workflows. If you're excited by AI infrastructure, startup ownership, commerce systems, and building foundational technology from the ground up, this role offers exceptional learning, responsibility, and long-term upside.
Company Description Our client is building the commerce layer for AI. The platform enables AI agents such as ChatGPT, Claude, Gemini, and other frontier models to understand, reason about, and transact with products across the real economy. The company transforms product data into formats optimized for AI-native commerce and agent-driven shopping experiences. Founded in 2025 and currently operating with a lean team of approximately 5 employees. Raised $3M in seed funding and founded by operators who previously helped build Cash App Commerce and other large-scale commerce platforms. The company sits at the intersection of AI infrastructure, ecommerce, search, retrieval systems, and agentic APIs. Catalog partners directly with ecommerce brands and frontier AI labs to bridge the gap between traditional commerce systems and AI-native purchasing experiences. Engineers work directly alongside founders and have significant influence on architecture, product direction, customer conversations, and company culture. The team operates in a high-trust, high-intensity startup environment focused on rapid execution and ownership. The company is building foundational infrastructure that could become a critical layer in the emerging AI commerce ecosystem.
What You Will Do Build backend infrastructure powering AI-native commerce systems Design and ship production APIs, retrieval systems, search infrastructure, and data pipelines Build systems that enable AI agents to understand, reason about, and transact with product data Develop embeddings pipelines, vector search architectures, recommendation systems, and information retrieval infrastructure Own projects end-to-end from architecture and design through deployment and iteration Collaborate directly with founders on product strategy and technical direction Build scalable systems for structured product data ingestion and transformation Develop agentic APIs used by frontier AI models and applications Improve data quality, search relevance, and retrieval performance across the platform Participate in customer conversations and help shape product roadmap decisions Leverage modern AI coding tools to maximize engineering velocity Help define engineering culture and technical standards as one of the earliest engineers Drive technical decisions across backend, infrastructure, and AI systems Operate in a fast-moving startup environment with significant ownership Help establish long-term technical foundations for future company growth
Ideal Candidate Background 1-5 years of software engineering experience Experience building backend systems, APIs, data pipelines, or infrastructure products Experience shipping 0-to-1 products used by real customers Experience at startups or highly regarded technology companies Strong backend engineering fundamentals Experience building production-grade APIs and distributed systems Experience with search infrastructure, embeddings, retrieval systems, recommendation systems, or data platforms Strong interest in AI-native products and infrastructure Experience using AI coding tools such as Cursor, Copilot, Claude Code, or similar Bachelor's degree in Computer Science or related technical field Graduated from a strong technical university Strong ownership mentality and willingness to work directly with founders Comfortable operating in highly ambiguous startup environments Strong communication and collaboration skills Interest in entrepreneurship, startups, and building products from scratch Ability to work onsite in San Francisco five days per week
Strong Signals Experience at companies such as Cursor, Replit, Vercel, Cohere, Modal, Pinecone, LangChain, Weaviate, Anyscale, Supabase, Convex, Neon, Mercury, Ramp, Brex, Shopify, Stripe, Square, Databricks, Hugging Face, Snowflake, or similar Startup experience with significant product ownership Active GitHub profile with meaningful side projects Personal projects demonstrating technical curiosity and initiative Experience building APIs, search systems, recommendation engines, or retrieval infrastructure Experience with vector databases, embeddings, semantic search, or ranking systems AI-native engineering workflows and tooling History of shipping products quickly and independently Strong backend engineering depth Strong technical curiosity outside of work Evidence of entrepreneurial ambition Experience working directly with customers Strong product intuition 0-to-1 startup building experience Ability to thrive in high-intensity startup environments Track record of ownership and execution
Compensation and Benefits Base salary: $120,000 - $170,000 Equity: 0.25% - 0.75% Visa sponsorship available Relocation assistance available Direct exposure to founders and company strategy Opportunity to shape engineering culture from the earliest stages High ownership and visibility across the organization Work alongside experienced founders from Square and Cash App Opportunity to help build foundational infrastructure for AI commerce Rapid learning environment with broad technical exposure Significant upside through equity ownership Fast-moving startup with strong market opportunity
Why Join This is an opportunity to join one of the earliest teams building infrastructure for AI-native commerce. The company is tackling a foundational problem: helping AI agents understand and transact with products across the real economy. As a founding engineer, you'll have outsized influence on architecture, product direction, engineering culture, and company success. The team is exceptionally small, creating opportunities for ownership and growth that are difficult to find elsewhere. You'll work directly with experienced founders who have previously helped build products at massive scale. The technical challenges span AI infrastructure, retrieval systems, search, ecommerce data, APIs, and agentic workflows. If you're excited by AI infrastructure, startup ownership, commerce systems, and building foundational technology from the ground up, this role offers exceptional learning, responsibility, and long-term upside.
Vacancy posted 4 days ago
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