Technical Sourcer; SF

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, diagnosing sepsis, and maximizing clean energy capture.

We've recently raised a $50 million Series A, led by Felicis.

Technical Sourcer will help drive top-of-funnel recruiting efforts across various organizations within the company. As a Technical Sourcer, you will play a pivotal role in identifying and attracting top-tier technical talent to help us scale and build the future of Machine Learning. You’ll partner closely with our founders, engineering leadership, and hiring managers to attract and hire top-tier talent. This is a mission-critical role: our product and engineering teams are at the heart of our growth.

We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.

• Identify, engage, and recruit top technical talent for various engineering and data science roles within the company.
• Collaborate with hiring managers to understand role requirements and develop targeted sourcing strategies.
• Build and maintain a pipeline of candidates through proactive sourcing methods, including networking, online platforms, and industry events.
• Conduct initial screenings and assessments to evaluate candidate skills and cultural fit.
• Track metrics to measure the effectiveness of sourcing strategies and improve recruitment processes.

• Proven experience in technical recruiting or sourcing in tech-focused environments.
• Strong understanding of data science, software engineering, and machine learning concepts.
• Proficiency in using various recruiting tools and platforms, including Linked In and applicant tracking systems.
• Excellent communication and interpersonal skills, with the ability to build relationships with candidates and hiring teams.
• Ability to work in a fast-paced environment and manage multiple recruitment processes simultaneously.
• Experience working at a startup.
• Experience sourcing for Software Engineers/Machine Learning Engineers.
• Understanding of Machine Learning Ops/Infrastructure.

Actual compensation awarded to successful candidates will be based on several factors, including individual qualifications objectively assessed during the interview process.

Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Chalk’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

"disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

"recently separated veteran" means any veteran during the…