Senior GTM Recruiter
Weights and Biases, Colombia

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Oct 3, 2022
Last Date
Nov 3, 2022
Location(s)

Job Description

At Weights amp; Biases, our mission is to build the best developer tools for machine learning. Weights amp; Biases is a series C company with $200 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
Our People Ops team shapes and fosters all aspects of Wamp;B's culture and the experience that our employees have working here. We’re looking to expand our team to include an experienced Recruiter who will strategically partner with our hiring managers to build and diversify our staff. We are eager to grow and looking for someone who can navigate our GTM needs and is adept in storytelling, sourcing, and excels at running a best-in-class recruiting process. This role will report to the Head of People Operations.Responsibilities
  • Support full cycle hiring and operations for all GTM roles, from: sourcing and screening through debriefs and offer negotiations.
  • Review and align job postings in partnership with hiring managers and PeopleOps.
  • Manage the candidate experience with a focus on providing excellent facilitation throughout the hiring process that respects both candidates and internal hiring partners.
  • Maintain dynamic and accurate records/data in our applicant tracking system, Lever.
  • Creatively and proactively source candidates using a variety of means, using data to measure your work, prioritize time, and inform efficiency.
  • Partner with our colleagues across Wamp;B to identify creative ways to engage talent and build our employer brand.
  • Own offer approvals, offer letters, communication around hire, and gracefully closing out candidates who are no longer in consideration.
  • Help track and manage recruitment metrics, including providing weekly status reports, providing cost/time to hire, and quality per hire metrics to measure the cost and effectiveness of recruiting efforts.
Requirements
  • 5+ years of prior recruitment experience in: SaaS, PLG, Machine Learning, Data, and/or AI vertices
  • Proficiency in managing a recruitment process using an applicant tracking system (Lever), sourcing tools (SourceWhale, HireEZ), Job ads (LinkedIn), and processes/procedures/data keeping (Notion, Google Sheets).
  • Exceptional communication skills supported by, exceptional listening skills.
  • Prior experience working in an asynchronous environment (preferably remote-first)
  • Exceptional organizational skills, the ability to work autonomously, and the ability to know when to ask for help.
  • A willingness and eagerness to try new modalities for attracting and engaging talent.
Our benefits
  • Unlimited vacation time
  • 100% Medical, Dental, and Vision for employees and Family Coverage
  • Remote first culture with in office flexibility in San Francisco
  • $500 home office budget with new high-powered laptop
  • Truly competitive salary and equity
  • 12 weeks of Parental leave
  • 401(k)


We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at.
#LI-Remote

Job Specification

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Weights and Biases

Information Technology and Services - San Jose, United States
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