Overview As Senior Technical Recruiter, you lead end-to-end recruitment for critical technical roles across Engineering, Product, Data, AI/ML, and Security. You'll translate business priorities into proactive talent strategies, partnering with executives and the People team to build diverse, high-performing teams. You'll shape hiring plans, drive candidate experience, and use data to optimize choices in a fast-growth environment. This role offers meaningful impact by enabling scalable, fair talent decisions that support Poshmark's mission and community.
Compensation / Benefits- Equity
- Bonus
- Comprehensive benefits package
- Location: Redwood City, CA office
- Competitive compensation range
- Opportunity to influence scaling of recruiting practices
Responsibilities- Lead full-cycle recruiting for complex technical searches from intake to offer and closing
- Partner with executives and hiring leaders to define capability needs and aligned hiring plans
- Develop proactive pipelines for scarce skills in AI/ML, data, platform, infrastructure, and security
- Translate funnel and market data into actionable insights and adjust sourcing/compensation strategies
- Design structured interview plans to assess technical ability and required behaviors
- Deliver an exceptional candidate experience aligned with Poshmark's community brand
- Contribute external talent intelligence to workforce planning and build-versus-buy decisions
- Scale recruiting practices, improve playbooks, and leverage AI-enabled tools while safeguarding fairness and privacy
Key requirements- 7+ years of full-cycle recruiting with strong technical searches in dynamic environments
- Experience recruiting across multiple technical disciplines and levels, from ICs to senior leaders
- Strong technical fluency across architectures, data/AI capabilities, and business problems
- Consultative communication and ability to influence senior stakeholders
- Advanced sourcing and talent-mapping, including passive and underrepresented talent
- Experience using recruiting metrics and external market intelligence to improve outcomes
- Commitment to equitable hiring practices and evidence-based assessment
- consultative mindset
- strong communication
- judgment and influence
- AI/ML
- data engineering
- data science
