Recruitment Machine Builder
- רמת גן
- משרה קבועה
- משרה מלאה
- Built recruitment infrastructure at a similar-stage AI/ML/tech company during hypergrowth
- Designed and implemented scalable sourcing strategies that actually work at volume
- Created recruitment pipelines that deliver predictable results, not just random hires
- Mastered advanced sourcing techniques beyond basic LinkedIn searches
- Implemented data-driven recruitment processes with meaningful metrics that drive decisions
- Build talent pipelines before positions open because you understand market dynamics
- Influence hiring strategy based on market intelligence and competitive analysis
- Design candidate experience that converts top talent in competitive markets
- Anticipate hiring needs and build talent pipelines before requisitions open
- Map the competitive landscape and understand where the best talent works
- Design sourcing strategies for hard-to-find AI/ML engineers, product leaders, and sales talent
- Build long-term relationships with passive candidates who aren't ready to move... yet
- Manage 10-15+ open positions simultaneously without dropping the ball
- Source candidates using advanced techniques: Conference networking, referral programs, direct outreach campaigns
- Run efficient interview processes that move fast while maintaining quality standards
- Close communication with candidates who have multiple offers, because you know how to sell the vision
- Build scalable interview processes that work for both technical and non-technical roles
- Create feedback loops that continuously improve your recruitment effectiveness
- Track metrics that matter: time-to-hire, source effectiveness, interview-to-offer ratios, candidate quality scores
- Analyze market data to adjust compensation recommendations and sourcing strategies
- Provide market intelligence that influences business decisions about team structure and timing
- Optimize continuously based on what the data tells you, not what feels right
- 3+ years of high-growth tech recruitment with at least 2 years at an deep complex product company
- Built recruitment from 0→1 or scaled from 50→200+ employees
- Recruited technical talent in competitive markets (AI/ML engineers, senior developers, product leaders)
- Closed candidates with multiple competing offers in hot markets
- Startup/scale-up DNA: comfortable with ambiguity, rapid change, and wearing multiple hats
- Speed + quality: can move fast without sacrificing standards
- Cross-functional collaboration: works seamlessly with engineering, product, sales, and marketing teams
- Fluent Hebrew and English (we operate globally)
- Data-driven mindset (decisions based on metrics, not gut feelings)
- Relationship building (can develop long-term talent relationships)
- Proficiency with ATS systems and recruitment tools (Spark Hire, LinkedIn Recruiter, etc.)
Mploy