Job Opportunities API

CAN YOU HELP US FIX THE WORLD'S MOST BROKEN SUPPLY CHAIN? The fashion industry produces over 100 billion garments a year. 60% end up in landfill, not because people don't want these clothes, but because the supply chain for getting secondhand fashion from donation to resale is completely offline, manual, and broken. Fleek is fixing this. Our mission is to make secondhand the first choice. We're building the infrastructure powering the global secondhand clothing trade, through a B2B marketplace and the AI systems digitising the supply chain behind it. Through Fleek, vintage stores, online resellers, and retail buyers source graded secondhand inventory directly from wholesalers and rag houses across multiple countries. Our key enabler is FleekSort, an AI model fine-tuned on secondhand fashion, that can grade, price, and categorise items with just a photo, turning what has historically been an opaque and manual trade into a structured, searchable, and tradable global inventory layer. Since 2022, we've saved 9 million items from landfill and tripled in size year-on-year. We've raised ~$50M from a16z, Y Combinator, HV Capital, and others, and have recently closed our Series B. Our advisors and private investors include operators behind Depop, Shopify, and Postmates. Today, we serve thousands of resellers and retailers across the UK, Europe, and the US. With the secondhand fashion market projected to reach $350B by 2027, Fleek is building the AI-native operational and financial backbone for secondhand commerce globally. We're looking for people who want to build something that matters, and move fast doing it. Sound good? Keep reading. ABOUT THE ROLE You'll join our GTM Acquisition team (new business) as our first GTM Engineer, reporting to our GTM lead. Your job is to build and scale the infrastructure we use to acquire the two kinds of customer we serve: online resellers (Depop, Vinted, Whatnot, eBay, Instagram shops) and physical vintage shops, from Brick Lane to Paris to New York. Today, acquisition is manual and unscalable. This role exists to fix that. You'll build the custom tooling that turns one-off outreach into a repeatable engine: lead scraping, enrichment, outreach automation, sequencing, lead scoring, and honest funnel tracking, connected into our commercial operating system and the handoff to account management. The target is not incremental: we want this engine to take us to 500+ reseller closures. This is a hybrid role for a rare profile: part sales engineer, part AI/automation builder. You take a problem, build something repeatable that handles it, ideally something an agent could run, then move on, rather than doing the same thing by hand every week. WHAT YOU'LL DO - Build the acquisition engine: design and ship the end-to-end system that sources, enriches, qualifies, and contacts prospects across both customer segments, replacing manual prospecting with repeatable infrastructure. - Automate sourcing and enrichment: build scrapers and enrichment pipelines across eBay, Depop, Vinted, Whatnot, and Instagram that surface qualified prospects with real signals: item volume, platform, geo, estimated spend, and store maturity. - Engineer outreach at scale: build multi-channel sequences (email, Instagram DM, WhatsApp, calls) that are personalised systematically by AI, not sprayed or hand-cranked, and designed around real constraints like Instagram's ~40 DMs per day cap. - Own the funnel: model and instrument every stage from sourced to reachable to contacted to replied to qualified to booked, with honest conversion assumptions, and use the data to decide where the engine leaks and what to fix next. - Design for two very different channels: online resellers are mostly Instagram-only, while physical shops have full contact details and can be grouped by city for visits. You'll build distinct playbooks for each and decide where AI does the work versus a person. - Build agents, not processes: wherev