Able - Technical Recruiter
Requirements
• 5+ years of technical recruiting, with full-cycle ownership of engineering searches. • Recent experience hiring AI or ML engineers at Senior level or above, and you can explain how a Principal differs from a Senior. • Enough technical fluency to discuss LLM applications, RAG, evaluation, fine-tuning and MLOps with engineers, and to probe their claims. • Hands-on, daily use of AI tools in your recruiting work, with examples of what changed because of them. • A track record of sourcing passive senior candidates through channels other than LinkedIn. • Fluent written and spoken English. You'll work with engineers and leaders across many countries. • A data-driven approach: you use funnel metrics to make decisions and explain them to hiring managers. Comfortable with Greenhouse or a similar ATS. • Experience designing recruitment strategies and improving hiring processes, not only running them, in a small team where processes are still being built. • Experience recruiting for consulting firms or agencies with client-driven hiring • Experience hiring across multiple LATAM countries and the US • Spanish or Portuguese • Experience with Juicebox AI or similar AI sourcing tools • What Success Looks Like • We’re looking for someone who brings more than technical skills. The right person for this role is: • AI-fluent. You already use AI tools in your day-to-day work to analyze information, automate repetitive tasks, draft materials, and work more efficiently. • AI-fluent. • A builder. You’re comfortable creating processes and systems where there isn’t a playbook yet. You’d rather ship a useful first version and improve it than wait for perfection. • A builder. • A clear communicator. You surface problems early, ask questions when something is unclear, and communicate what you know — and what you don’t. • A clear communicator. • Comfortable with ambiguity. Able is growing and evolving quickly. You’ll help shape the processes and systems you’ll eventually own. • Comfortable with ambiguity. • Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology. • This position is 100% remote in Latin America. Strong verbal and written communication skills in English are a requirement. • As a team member, you can expect: • To work 40 hours per week, and be available during normal business hours as needed • Payments made in USD • 18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years • Wellness + Remote Stipend • Able builds technology products in a portfolio model. We believe that people, teams, and processes are more important than the ideas themselves, so we’ve focused on bringing great people together, and investing in their growth. • We’ve built products in a variety of industries. Everything from media to finance to toys to healthcare. Sometimes we work with management teams to help their businesses grow faster or unlock value using technology. Other times we start or buy businesses outright. Each time, we look for opportunities to leverage technology built at the portfolio-level to drive value faster.
Responsibilities
• Specialize in AI, ML and engineering recruitment: own full-cycle hiring for AI and ML Engineers (Senior and Principal) and for full-stack, front-end and back-end engineers. That covers intake, sourcing, screening, scheduling, feedback, debriefs and offers. • Design and execute recruitment strategies: build a search plan for each role, covering target profiles, channels, messaging and timelines. Adjust it when the market says otherwise. • Find principal-level AI talent: build pipelines for Senior and Principal AI Engineers beyond LinkedIn. Look in GitHub, open-source projects, research papers, technical communities and referrals. • Level candidates accurately: screen against senior-vs-principal so the interview team only meets candidates at the right level. • Use AI tools to improve search: use AI tools and LLM assistants for market mapping, search strings, candidate research and outreach. • Turn recruiting data into insights: track time-to-fill, pass-through rates, sources and decline reasons in Greenhouse. Use them to show where searches stall and what to change. • Optimize hiring processes: tighten intake, scorecards, scheduling and candidate communication. Document playbooks and interview plans so searches run the same way every time.
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