Staff Recruiter

EarnIn•Mountain View, CA

2d•Hybrid

About The Position

EarnIn is a pioneer in earned wage access, dedicated to building products that provide real-time financial flexibility for individuals living paycheck to paycheck. Our community members can access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We are supported by an experienced leadership team, world-class funding partners like A16Z, Matrix Partners, DST, and Ribbit Capital, and a strong core business with significant growth potential. We are expanding rapidly and seeking to onboard top talent to contribute to our next phase of growth. POSITION SUMMARY We are looking for a Staff Recruiter to join EarnIn's Talent Acquisition team. This role offers the opportunity to partner directly with leadership in building an AI-Native center of excellence within Talent Acquisition. This function will integrate AI tools and workflows into all aspects of the hiring process. The demand for specialized experience has increased, making this role crucial for shaping our hiring strategies in an AI-native world. It's an opportunity to build a leading center of excellence for AI talent acquisition and potentially grow into broader leadership roles. This position is ideal for an experienced recruiter ready for the challenge of influencing hiring practices at a high-growth tech company. You will be expected to lead by example, mentor colleagues, and bring structure, clarity, and strategic thinking to your work. Key responsibilities include driving hiring productivity for critical roles, contributing to strategy, managing stakeholders, and executing programmatic initiatives. The base salary range for this full-time position is $207,000-$254,000, plus equity and benefits. Salary ranges are determined by role, level, and location. This is a hybrid position based in our Mountain View (Headquarters), requiring two days of in-office work per week.

Requirements

7+ years of full-cycle recruiting experience
Recruiting experience in a fast-paced, ambiguous environment or a high-growth tech company/startup
Demonstrated experience recruiting for AI, ML, Data Science, or adjacent technical functions
Track record of managing a complex, high-volume hiring portfolio across multiple functions simultaneously while developing strategic sourcing strategies
Demonstrated experience mentoring or leading peers, formally or informally
Hands-on experience with AI sourcing, recruiting tools, third-party tools, and some type of ATS
Exceptional stakeholder management skills
Strong written and verbal communication
A data-driven mindset
Strong project management skills
Strong offer negotiation and decision-making skills

Nice To Haves

Experience hiring for global markets is a plus
Experience hiring for marketing roles is a plus

Responsibilities

Own a complex, global, cross-functional requisition portfolio spanning technical (Engineering, AI/ML, Data, Platform, etc.) and non-technical (G&A, Product, Marketing, Operations, etc.) functions
Source and engage candidates for various roles, including those at the intersection of AI, product, and engineering
Partner with hiring managers as a strategic thought partner, managing expectations, assessing/adjusting candidate pipelines, and driving alignment on role strategy
Contribute to building a best-in-class Talent Acquisition team by mentoring junior recruiters, providing feedback on processes and tools, and covering roles during leaves or transitions
Build and maintain proactive pipelines for hard-to-fill and strategic roles, prioritizing quality hires efficiently
Lead the adoption of AI fluency in hiring within the team, stay current on the competitive talent landscape, and articulate EarnIn's technical roadmap to candidates
Manage stakeholders effectively, building strong relationships with executives and talent
Leverage recruiting systems and data to drive decisions
Build, refine, and iterate on recruiting processes
Negotiate offers and navigate difficult offer situations