Microsoft Talent Sourcer Microsoft AI 

Taiwan, Taoyuan City 

279605587

TalentSourcerto identify and engage top technical talent across
Engineering roles. You’ll support hiring for teams building foundational and consumer-facing AI systems—sourcing engineers across backend, infrastructure, mobile, full-stack, and platform roles, with the flexibility to support Product and Applied AI roles as business needs evolve.

You’ll work closely with recruiters, hiring managers, and fellow sourcers to build pipelines for highly skilled, often passive, technical talent. This role is best suited for someone who thrives in ambiguity, understands how to source beyond LinkedIn, and is comfortable pivoting across multiple technical domains. Experience with Bay Area startup talent and technical communities is a plus.

This is a hybrid role based in Mountain View, CA, with an expectation of being in-office at least 3 days per week.

Required/Minimum Qualifications

• Bachelor's Degree AND 4+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of end-to-end technical sourcing experience
• 3+ years of experience sourcing for software engineering or infrastructure roles
• 1+ years experience sourcing for Product Management or AI/ML-related roles

Additional or Preferred Qualifications

• 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.

• Familiarity with sourcing startup and growth-stage engineering talent

• Experience with creative sourcing methods: GitHub, portfolio sites, event rosters, alumni networks, Boolean/X-ray search

• Ability to manage multiple concurrent searches with high attention to quality and signal

• Comfort operating in fast-moving environments with shifting priorities and emerging needs

• Advanced collaboration, communication, and follow-through skills

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Stakeholder Collaboration

• Partner with recruiters and hiring managers to understand hiring goals, role nuances, and technical expectations across Engineering, Product, and AI teams.

• Participate in calibrations and pipeline reviews, offering insight into market availability and candidate signal.

• profile refinement and search prioritization based on talent availability and business urgency.

• Work collaboratively within a team environment, supporting aligned priorities across adjacent functions and roles.

Market Intelligence & Strategic Planning

• Conduct market research to identify target companies, high-signal engineering teams, and emerging startup talent.

• Map talent across backend, full-stack, infra, mobile, and applied AI profiles—balancing quality, location, and business alignment.

• Track hiring activity, team movements, and community dynamics across the startup and growth-stage tech ecosystem.

• Partner with peers to identify diversity opportunities and explore underrepresented communities in technical domains.

Outreach and Engagement

• Create high-context, technically aware outreach messages tailored to individual profiles.

• Source across multiple platforms: GitHub, Stack Overflow, LinkedIn, alumni networks, meetups, and engineering communities.

• Engage with talent in an informed and credible manner, with a focus on long-term relationship-building.

• Represent Microsoft’s opportunities with clarity and professionalism—conveying impact, scope, and team mission.

Talent Sourcing Expertise

• Execute structured searches across diverse profiles and functions, from backend engineers to AI product roles.

• Operate across 6–8 weeksourcing missions, delivering pipeline updates, candidate submissions, and conversion tracking.

• Flex across multiple roles simultaneously while maintaining a high-quality, consistent sourcing approach.

• Maintain CRM hygiene and contribute to team learnings by sharing search strategies, outreach wins, and trends.

Data-Driven Decision Making

• Track and report on candidate engagement, conversion rates, and funnel health to inform sourcing adjustments.

• Leverage internal systems to identify top talent, manage candidate flow, and collaborate cross-functionally.

• Use performance data and historical trends to influence targeting and inform future sourcing decisions.

• Translate feedback and sourcing signals into actionable improvements across profiles and outreach strategies.

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