Klarity
Recruiting Lead
San Francisco (Klarity HQ) · Full-time
Sponsorship not specified$200k-$300kDetected 69 days ago
NLPOutbound SalesRecruiting
About the role
- Klarity's People organization is actively evolving - including an ongoing search for a VP of People - which means team structure, systems, and ownership are still taking shape.
- This role is best suited for someone who sees that as an opportunity, not a risk.
- You won't inherit a mature recruiting function.
Responsibilities
- Own full-cycle recruiting for priority roles across engineering and technical functions, from intake through close.
- Build Klarity's recruiting foundation - interview processes, evaluation frameworks, sourcing strategies, and workflows that create consistency and scale over time.
- Drive top-of-funnel quality through outbound sourcing in highly competitive markets.
- Partner closely with founders and hiring managers on role scope, talent calibration, and hiring decisions.
- Build and refine AI-native recruiting workflows across sourcing, screening, and ops - and share what compounds.
- Significant full-cycle recruiting experience, OR demonstrated success building a 0→1 recruiting function at a startup that has scaled
- Level: Recruiting Lead (IC).
- Relocation support to San Francisco Bay Area (where applicable)
Requirements
- You know how to identify and engage highly sought-after candidates who are unlikely to apply inbound - people fielding offers from the best companies in the world and skeptical of outreach.
- You have a strong point of view on talent and challenge hiring managers when warranted.
Nice to have
- Experience supporting technical or product-related hiring strongly preferred
Compensation
- $200k-$300k
Benefits
- Equity in addition to competitive cash compensation
- 100% Employer-Paid Medical, Dental & Vision options!
- Paid Parental Leave
- $500 Annual Learning Fund
- $100 Monthly Wellness Fund
- Office-related Perks:
Equal opportunity
- equal opportunity employer.
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This listing is sourced directly from Klarity's careers page and normalized into a canonical job model.