Talent Acquisition Partner (Product, Data, & Engineering)
RemoteAtlanta, Georgia, United States
Job Summary
Own full-cycle recruiting for Data Engineers, Data Scientists, AI Engineers, Product Managers, and Software Engineers, managing intake, sourcing, screening, interview coordination, and offer negotiation. Build creative sourcing strategies using LinkedIn Recruiter, Boolean search, and niche communities to identify passive candidates for hard-to-fill technical roles. Partner directly with engineering and product leadership to define requirements, calibrate profiles, and scale hiring plans while tracking pipeline health and conversion metrics. Act as a brand ambassador delivering a transparent candidate experience and continuously refine interview processes to reduce time-to-hire. This high-visibility role within Stord's R&D organization shapes the teams building next-generation software for brands managing over $10 billion in commerce annually.
Required Qualifications
- 4+ years of full-cycle recruiting experience
- strong focus on technical and/or product hiring
- Demonstrated success recruiting for roles such as Software Engineers, Data Engineers, Data Scientists, AI/ML Engineers, or Product Managers
- Strong sourcing skills, including advanced Boolean/X-ray search and passive candidate outreach
- Ability to credibly engage technical and product stakeholders
- translating role requirements into effective sourcing and screening strategies
- Excellent communication and relationship-building skills
- track record of strong candidate and hiring manager satisfaction
- Experience managing a high-volume, multi-req pipeline in a fast-paced, high-growth environment
- Proficiency with an ATS (e.g., Workday, Greenhouse, Lever) and recruiting tools (LinkedIn Recruiter, sourcing extensions, etc.)
- Data-driven approach to recruiting, with comfort tracking and reporting on pipeline metrics
- Previous in-house recruiting experience at a high-growth startup or scale-up
- Experience recruiting for AI/ML or applied data science teams specifically
- Background or working knowledge of software engineering, data infrastructure, or product management concepts
- Experience partnering with Engineering and Product leadership on headcount planning
- Previous logistics, supply chain, or commerce/e-commerce industry experience
- Experience building out employer branding or talent marketing initiatives
- authorized to work in the U.S.
Desired Qualifications
- Previous in-house recruiting experience at a high-growth startup or scale-up
- Experience recruiting for AI/ML or applied data science teams specifically
- Background or working knowledge of software engineering, data infrastructure, or product management concepts
- Experience partnering with Engineering and Product leadership on headcount planning
- Previous logistics, supply chain, or commerce/e-commerce industry experience
- Experience building out employer branding or talent marketing initiatives
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