Principal Technical Recruiter
Role Overview
Etsy is hiring a Principal Recruiter to own full lifecycle recruiting for Data Science and Machine Learning roles.
This is a senior individual contributor role focused on technical stakeholder partnership, candidate quality, pipeline development, and closing talent.
The position is full-time and reports to the Talent Acquisition Manager.
Key Skills for This Role
Full Job Posting
About Etsy
Etsy is a global marketplace for unique and creative goods.
The company builds tools and technologies connecting entrepreneurs with buyers and emphasizes meaningful work, development, and collaboration.
Role Overview
Etsy is hiring a Principal Recruiter to own full lifecycle recruiting for Data Science and Machine Learning roles.
This is a senior individual contributor role focused on technical stakeholder partnership, candidate quality, pipeline development, and closing talent.
The position is full-time and reports to the Talent Acquisition Manager.
Location and Work Mode
- Candidates based within commuting distance of Etsy’s Brooklyn office are prioritized.
- Team members near the office are expected to come in once or twice per week.
- Remote candidates outside commuting distance may be considered case by case, with occasional office travel expected.
Day-to-Day Responsibilities
- Own recruiting from intake through offer for Data Science and Machine Learning roles.
- Source senior technical talent, including applied scientists, ML engineers, and data scientists.
- Partner with hiring managers, challenge misaligned expectations, and bring market data to the process.
- Develop pipelines for recurring roles and searches requiring long lead times.
- Track pipeline health, time-to-fill, and quality-of-hire metrics using Workday Recruit.
- Improve recruiting processes, tooling, and sourcing across the team.
- Represent Etsy well at every candidate touchpoint.
Experience and Qualifications
- Eight or more years of full lifecycle recruiting experience are required, with substantial technical recruiting experience in Data Science, Machine Learning, or AI.
- Candidates should understand model types and the differences among research, applied, data science, and ML engineering roles.
- Strong client management and the ability to run recruiting processes independently are expected.
- A record of closing senior candidates in competitive technical markets is expected.
- Data fluency, experience with Workday Recruit or a comparable ATS, and comfort with ambiguity are expected.
Compensation
- Base salary varies by location, skills, and experience.
- Geo-1 annual salary range is $152,000 to $206,000 USD.
- Geo-2 annual salary range is $137,000 to $185,000 USD.
- The role also includes eligibility for equity, an annual performance bonus, and benefits.
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