Sr. FLC Recruiter, AWS Science

Join the AWS Science Recruiting team and help us identify and hire the world's most exceptional scientific and technical minds. We hire science talent spanning domains including Automated Reasoning, Formal Verification, Programming Languages, SAT/SMT Solving, and more.

You'll work across all Amazon businesses, advising hiring managers on hiring strategy while building relationships with technical leaders. The candidates you engage will influence decisions affecting billions of customers. Successful recruiters on this team will utilize their experience in setting benchmarks, forecasting and tracking methods against metrics while prioritizing meeting hiring targets.


Key job responsibilities
• Partner with hiring teams to build sourcing, assessment, and closing strategies. Manage stakeholder expectations through clear prioritization and data-driven hiring plans.
• Source and close, active and passive science candidates. Assess role fit and candidate motivation rather than sell the role.
• Advise business leaders on technical hiring strategy and deliver measurable results.
• Build sourcing models to generate targeted talent pools. Execute search strategies and calibrate job profiles with hiring managers.
• Design and implement recruiting processes that support long-range growth and align with Amazon's mission to deliver the highest quality results.
• Document hiring plans with deliverables, timelines, and formal tracking.
• Screen, interview, and deliver candidate slates on consistent timelines aligned to position specifications.
• Own recruiting initiatives include interviewing best practices, internal talent leverage, and identification of top performers.

Basic Qualifications

- Bachelor's degree or equivalent
- 5+ years of corporate and or search firm progressive recruiting including full life cycle recruiting experience
- Experience building and utilizing a variety of sourcing plans and tools, including proactive phone and internet research
- Experience with CTS/ATS with sourcing, tracking and managing candidates
- Knowledge of Microsoft Office applications (Excel, Word, SharePoint, and PowerPoint)
- Experience managing and prioritizing multiple searches, projects and client relationships

Preferred Qualifications

- Experience partnering with hiring teams to build effective sourcing, assessment, and closing approaches with an ability to manage customer/partner expectations
- Experience recruiting in Science, Research, and Generative AI, specifically Applied Science, Research Science, and Data Science roles.
- Ability to balance business needs with candidate experience.
- Strong analytical skills with ability to create, measure, and scale workflows between candidates, hiring managers, and the recruiting team.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 137,900.00 - 186,500.00 USD annually