
2 - 10 employees
đŻ Recruiter
đ¤ B2B
âď¸ SaaS
Recruitment ⢠B2B ⢠SaaS
matchmatch is a premium recruitment firm focused on VC-backed startups in the EU and US. They provide executive search for C-suite and VP-level hires, technical engineering hiring (founding engineers, tech leads, AI/ML specialists) with deep technical vetting, go-to-market and revenue hires (sales, marketing, growth, customer success), and embedded recruitment where a recruiter joins the client's team for 3â6 months. They specialize in early-stage companies (pre-seed to Series A) with teams of 2â70 and funding between $500Kâ$10M, covering hiring across 15+ countries and cities like Berlin, London, and San Francisco. Metrics include 250+ people recruited, 75 vacancies closed last year, 40 days average time to fill. The team comprises operators and startup veterans with roles like Head of Talent & People, Sourcing Lead, and Talent Sourcer.
đĽ 1 hour ago
Where this job comes from
Posted on matchmatch's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago

2 - 10 employees
đŻ Recruiter
đ¤ B2B
âď¸ SaaS
Recruitment ⢠B2B ⢠SaaS
matchmatch is a premium recruitment firm focused on VC-backed startups in the EU and US. They provide executive search for C-suite and VP-level hires, technical engineering hiring (founding engineers, tech leads, AI/ML specialists) with deep technical vetting, go-to-market and revenue hires (sales, marketing, growth, customer success), and embedded recruitment where a recruiter joins the client's team for 3â6 months. They specialize in early-stage companies (pre-seed to Series A) with teams of 2â70 and funding between $500Kâ$10M, covering hiring across 15+ countries and cities like Berlin, London, and San Francisco. Metrics include 250+ people recruited, 75 vacancies closed last year, 40 days average time to fill. The team comprises operators and startup veterans with roles like Head of Talent & People, Sourcing Lead, and Talent Sourcer.
⢠Design and build personalized recommendation systems, semantic search and similar-fragrance discovery ⢠Develop candidate retrieval, ranking and re-ranking approaches ⢠Solve cold-start challenges and identify useful user signals ⢠Build data pipelines and ML-powered services that support recommendations ⢠Define evaluation metrics, run experiments and measure recommendation quality ⢠Make practical architecture decisions and take systems from idea to production ⢠Contribute to backend and product engineering when needed ⢠Work directly with the founders, engineers and product team ⢠Help define the recommendation architecture and decide what to build ⢠Use AI coding agents such as Claude Code and Codex as a core part of the development workflow
⢠Hands-on experience building or improving recommendation systems, search ranking or personalization in production ⢠Strong understanding of retrieval, ranking, ML models and experimentation ⢠Ability to design and own systems end-to-end, not just individual models ⢠Solid software engineering and backend development skills ⢠Experience working with user behavior data and measuring product impact ⢠Product mindset and ability to make independent technical decisions ⢠Comfort working in a small team with evolving priorities ⢠Interest in AI-first engineering and using coding agents in daily development ⢠Experience in e-commerce, marketplaces, consumer products or discovery platforms is a plus ⢠Willingness or ability to use AI coding agents such as Claude Code and Codex in daily development
⢠Equity / share in the long-term success of the company ⢠Remote work flexibility ⢠Office available for local teammates in Warsaw
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