Art of Problem Solving
Talent Acquisition Partner - Temporary
🇺🇸 Hybrid - San Diego, CA
🕑 Temporary
💰 $95K - $105K
💻 Human Resources
🗓️ November 9th, 2025
Edtech.com's Summary
- Lead end-to-end recruitment for various full-time roles.
- Source candidates through strategic outreach and multiple channels.
- Partner with hiring managers on interview strategies and alignment.
- Negotiate offers using market data to close candidates.
- Use analytics to identify trends and improve recruitment processes.
- Collaborate with TA team to optimize systems and tools.
- Stay updated on recruiting trends and compliance requirements.
- Requires 3+ years of full-cycle recruiting experience, preferably in scaling environments.
- Proficiency with LinkedIn Recruiter and Greenhouse preferred.
- Compensation for the 6-month term ranges from $47,500 to $52,500, equivalent to $95,000 to $105,000 annually.
Talent Acquisition Partner - Temporary Full Description
As a Talent Acquisition Partner at Art of Problem Solving (AoPS), youâll help build the teams that drive our mission. Youâll own full-cycle recruiting across diverse roles, partnering closely with hiring managers to identify top talent and deliver a standout candidate experience. This is a 6-month temporary role with potential to transition to full-time - an opportunity to make an immediate, meaningful impact as we scale the teams inspiring the next generation of problem solvers.
The Talent Acquisition Partner will:
- Lead full-cycle recruitment for a variety of full-time roles- from kickoff to offer acceptance.
- Source and engage top talent through strategic outreach, paid channels, and innovative sourcing methods.
- Partner with hiring managers to design interview plans, align on strategy, and ensure a seamless process.
- Extend and negotiate offers, using market data and sound judgment to guide compensation and close strategies.
- Leverage data and analytics to identify trends, improve processes, and drive continuous improvement.
- Collaborate with the broader TA team to enhance systems, tools, and processes as AoPS continues to grow.
- Stay informed on recruiting trends, compliance updates, and best practices to help AoPS maintain a high bar for hiring excellence.
The ideal candidate has:
- 3+ years of full-cycle recruiting experience, ideally in a fast-paced or scaling environment.
- A track record of sourcing and closing exceptional candidates across diverse roles.
- Strong familiarity with recruiting tools and systems - experience with LinkedIn Recruiter and Greenhouse strongly preferred.
- Data-driven mindset with the ability to use insights to improve hiring outcomes.
- Excellent communication and relationship-building skills - you know how to earn trust and drive alignment.
- Comfortable navigating ambiguity and shifting priorities with resilience and focus.
- A collaborative, proactive, and growth-oriented approach to talent acquisition.
Why Join AoPS
- This is a hybrid role based in our San Diego office (3 office days per week). It is a 6-month temporary position with the potential to transition to full-time. The compensation for the 6-month term ranges from 47.5Kâ52.5K (equivalent to 95Kâ105K annually).
Background Check:
Please note that employment is contingent on the successful completion of a background check.
Work Authorization:
Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B.
About AoPS:
Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the countryâs top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.
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