Talent Sourcer

• Act as a consultative partner to technical and research leaders across MAI, influencing profile definition, funnel design, and prioritization
• Present market insights, search progress, and candidate recommendations with clarity and confidence, particularly in ambiguous or evolving searches
• Drive rigor in calibration: challenge assumptions, align early, and advocate for sourcing approaches that optimize for long-term outcomes
• Guide hiring teams toward inclusive and differentiated sourcing strategies
• Conduct deep landscape analysis across global AI talent markets—mapping top labs, research groups, startups, and open-source contributors
• Build long-range pipelines around critical profiles using technical taxonomies, publication review, and trend-based forecasting
• Collaborate cross-functionally on campaigns and outreach tied to MAI’s highest-priority initiatives
• Identify gaps, opportunities, and competitive dynamics to continuously inform hiring strategy
• Craft high-context, personalized messaging that resonates with deeply technical audiences—anchored in the work, not generic EVP
• Engage talent through diverse channels: AMiner, GitHub, Arxiv, academic networks, niche communities, and technical events
• Represent Microsoft AI at key industry forums and conferences, where applicable
• Own early-funnel candidate experience—establishing trust, managing expectations, and minimizing friction
• Design and execute research-forward sourcing strategies to surface rare, highly specialized AI/ML talent
• Lead sourcing missions that span 6–8 weeks with clear goals: mapped markets, validated pipelines, and calibrated submissions
• Navigate multiple, concurrent searches across evolving profiles with urgency and precision
• Contribute to team learning and global connectivity through knowledge sharing and collaboration
• Use data to prioritize efforts, monitor pipeline health, and guide sourcing strategy
• Track mid-funnel performance metrics (e.g., resume pass-through, tech screen rates, offer conversion) to refine approach
• Leverage Microsoft’s sourcing tech stack—CRM, analytics, and ML-enabled systems—while identifying opportunities for optimization
• Translate sourcing signals into clear, actionable insights for planning and execution
• Embody our culture and values

• Bachelor's Degree AND 4+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role OR equivalent experience
• 5+ years of end-to-end talent sourcing experience
• 5+ years of experience analyzing talent market trends to consult hiring managers on recruiting strategies
• 4+ years of technical talent sourcing experience
• 2+ years of experience sourcing Artificial Intelligence (AI) talent
• Experience sourcing for frontier AI labs, early-stage startups, or technical teams building large-scale ML systems
• Deep familiarity with open-source and research ecosystems: GitHub, Arxiv, Hugging Face, Stack Overflow, and academic conferences (e.g., NeurIPS, ICML, CVPR)
• Proven success using Boolean/X-ray logic, publication-based sourcing, and outreach beyond traditional channels
• Comfort working in fast-paced, dynamic environments where velocity, experimentation, and ownership are key

Bachelor's Degree AND 8+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role OR Master's Degree AND 6+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role OR equivalent experience