--- title: 'Member of Technical Staff at Catalog' canonical: 'https://feeny.ai/job/member-of-technical-staff-catalog-san-francisco-wqt7jsswabbq' type: 'job' last_seen: '2026-09-12' --- # Member of Technical Staff at Catalog - **Company:** Catalog - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-10-15 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/catalog/d4d8504c-01c0-4e1e-9767-1db25caca225 ## Job description Catalog is building the commerce layer for AI - the missing infrastructure that lets agents not just search the web, but understand, reason about, and transact with products. We power the next generation of AI experiences that will reshape how people discover and buy online. ## Role As a Member of Technical Staff, you will ship core systems, set engineering culture, and move the mission from prototype to platform. You will work across the stack and own problems end to end. You might be a fit if you - Have built zero to one products that users love and trust. - Blend strong engineering with sharp product taste and data intuition. - AI-native. - Move fast, write clean code, and instrument everything. - Want high ownership in a small, talent-dense team in San Francisco. Example problems - Design and ship agentic-search APIs that return structured, live product data in milliseconds. - Integrate checkout rails so agents can transact with any merchant. - Stand up an embeddings and retrieval layer that balances recall, precision, and cost. - Launch a product graph and ranking pipeline that learns from real outcomes. ## Nice to have - Shipped data products in production. - Experience with recommendation systems or information retrieval. - Familiarity with developing APIs, search indexes, and data pipelines. ## How we work Small team, high trust, high intensity. We bias to in-person collaboration in North Beach, San Francisco. We debate, decide, and ship. If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. ## About Catalog ## Company Overview - **One-liner**: Catalog builds the product data infrastructure for agentic commerce, transforming merchant catalogs into structured, machine-readable data that AI agents can understand, rank, and buy from. - **Entity Type**: Private (Pre-Seed) - **Headquarters**: San Francisco, California, United States - **Founded**: 2025 - **Founders**: Hamish Gunasekara (CEO) and Dylan Farrell (CTO) ## Core Business - **Primary industry**: Agentic Commerce Infrastructure / Software Development - **Target customers**: B2B — merchants, retailers, and e-commerce brands (from Shopify and WooCommerce stores to enterprise) who want their products discovered and recommended by AI shopping agents (ChatGPT, Gemini, Claude, Perplexity). - **Mission or purpose statement**: To become the operating system for agentic commerce: the rails AI uses to discover and reason about products across the open web [getcatalog.ai](https://www.getcatalog.ai/about-us). ## Products & Services - **Catalog Platform (Core SaaS)**: A product data layer that ingests raw merchant data, normalizes and enriches it with structured attributes (fit, material, use cases, etc.), and distributes it in real-time to every major AI channel via protocols like Agentic Commerce Protocol (ACP), Universal Commerce Protocol (UCP), and MCP. Includes continuous synchronization of pricing, stock, and catalog changes. - **AI Readiness Audit**: A free tool that scores a brand's website on 6 dimensions (crawl access, product schema, machine-readable policies, etc.) across 90+ checks, benchmarking it against category leaders. - **Agentic Storefronts**: A parallel, AI-native storefront that exposes the same products, prices, and stock in a structure AI agents can read, enabling discovery, cart building, and checkout within a conversation — with the merchant staying the merchant of record. - **Measurement & Analytics**: Dashboards showing AI referrals by channel, product, and query, plus surfacing rates and catalog completeness scores. - **Agentforce Commerce / WooCommerce MCP**: Specific integrations for Salesforce Agentforce and WooCommerce that supply structured product attributes and expose store capabilities to agents. ## Market Standing - **Valuation/Market Cap**: Not disclosed (pre-seed stage) - **Key Metric**: Total Funding — $3M USD (pre-seed round) - **Notable Investors/Partners**: Acrew Capital (lead), WndrCo, Hustle Fund - **Growth Signals**: Raised $3M pre-seed in March 2026; team has grown from 2 co-founders to 3 employees (+40% monthly headcount growth); actively hiring a founding engineer; already live across multiple AI surfaces (ChatGPT, Gemini, Perplexity, Google Merchant Center); early traction with Shopify and WooCommerce merchants. ## Competitive Advantages - **First-mover in a nascent category**: Catalog is one of the first dedicated infrastructure plays for "agentic commerce," a space that is just emerging as AI agents become a primary shopping surface. - **Deep co-founder domain expertise**: CEO Hamish Gunasekara was an early data scientist at Afterpay and led merchant integrations at Block/Square/Cash App; CTO Dylan Farrell studied pure mathematics at Harvard and built product recommendation engines at Curinos [getcatalog.ai](https://www.getcatalog.ai/about-us). - **Protocol-native approach**: Supports ACP, UCP, MCP, and Google Merchant Center's new fields — ensuring compatibility with every major AI buying protocol rather than building a walled garden. - **Deterministic data, not generative**: Unlike AI tools that hallucinate, Catalog produces structured, deterministic product objects (no made-up attributes), building trust with merchants who need accurate data in AI recommendations. - **Zero-engineering setup**: Ingestion works directly from existing commerce platforms (Shopify, WooCommerce) and websites — no schema redesign or months-long integration projects. ## Strategic Focus - **Expand engineering team**: Using the $3M pre-seed to hire engineers and researchers who can ship core systems (agentic-search APIs, embeddings/retrieval layers, product graph/ranking pipelines, checkout rails) [getcatalog.ai](https://www.getcatalog.ai/blog/catalog-raises-3m-pre-seed). - **Deepen AI platform integrations**: Beyond ChatGPT, Gemini, and Perplexity, Catalog aims to be the default product data layer across all major AI ecosystems. - **Scale merchant adoption**: Move from early Shopify/WooCommerce adopters to larger enterprise merchants and marketplaces. - **Build the "operating system" for agentic commerce**: Long-term vision to become the universal layer for how AI discovers, reasons about, and transacts with products across the open web. ## Why Work Here - **Extreme early-stage impact**: As one of the first ~5 employees, you'll define engineering culture, architecture, and product direction from the ground up — ownership of problems from prototype to platform. - **High-leverage technical problems**: Working on agentic-search APIs (millisecond response times), embeddings/retrieval at scale, product graph ranking pipelines, and checkout integration for AI agents — all at the intersection of ML, infrastructure, and commerce. - **Strong founding team**: Co-founders with deep experience in fintech, ML, and commerce (Afterpay, Square, Curinos, Harvard math background) — building a category-defining company. - **Backed by top-tier investors**: Acrew Capital (known for backing early-stage infrastructure and fintech) leads the round, with WndrCo and Hustle Fund participating. - **Culture**: Described as "first-principles thinking" and "ambitious work" — ideal for engineers who like hard technical problems and want a hand in defining how AI interacts with the real economy [getcatalog.ai](https://www.getcatalog.ai/about-us). - **Location & work model**: Onsite in San Francisco, California (SOMA / SF proper). Currently a small team (3 people), so likely high-collaboration, in-person culture. - **Open roles**: Actively hiring a **Founding Engineer / Member of Technical Staff** as of July 2026 [jobright.ai](https://jobright.ai/jobs/info/68ff99050ab3b222462ac44e). ## Sources 1. [getcatalog.ai](https://www.getcatalog.ai/) 2. [getcatalog.ai/about-us](https://www.getcatalog.ai/about-us) 3. [getcatalog.ai/blog/catalog-raises-3m-pre-seed](https://www.getcatalog.ai/blog/catalog-raises-3m-pre-seed) 4. [linkedin.com/company/catalogai](https://www.linkedin.com/company/catalogai) 5. 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