Firmenlogo

Senior Recruiter, AI & ML presso NewsBreak

NewsBreak · Mountain View, Stati Uniti d'America · On-site

Candidarsi ora

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about

About the Role

We are looking for an AI & Technical Recruiter to own full-cycle hiring for NewsBreak’s engineering, product, and data teams, with a strong focus on AI, machine learning, and advanced technical roles. In this role, you will partner closely with hiring managers to design data-driven and creative talent strategies, identify top-tier technical talent, and scale high-impact teams across multiple regions.

You will be responsible for managing end-to-end recruitment, from deep technical sourcing and candidate engagement to offer strategy and closing, while collaborating with recruiters and stakeholders across offices.

Responsibilities

  • Own full-cycle recruitment for AI/ML engineers, data scientists, platform engineers, product managers, designers, and other business functions, with a strong emphasis on AI-driven and highly technical roles
  • Develop and execute comprehensive, data-informed sourcing strategies, translating role requirements into precise target profiles and talent maps
  • Proactively identify and engage passive AI and technical talent via LinkedIn, GitHub, Google, AngelList, research publications, open-source communities, and other advanced sourcing channels
  • Conduct initial technical and behavioral screens, assessing candidates’ technical depth, problem-solving ability, and alignment with AI-driven products
  • Partner closely with third-party recruiting agencies to calibrate role expectations, evaluate candidate quality, and optimize pipeline efficiency
  • Drive the offer process end-to-end, including offer strategy, compensation discussions, negotiations, and closing
  • Maintain strong pipeline hygiene and data integrity, leveraging recruiting metrics and insights to provide regular, data-centric updates to hiring managers and leadership
  • Collaborate cross-functionally with recruiting partners across regions to share best practices and continuously improve AI hiring outcomes

 

Requirements

Minimum Qualifications

  • Bachelor’s degree in Human Resources, Business, or a related field
  • 1–3+ years of full-cycle technical recruiting experience, preferably supporting AI, ML, data, or platform engineering roles in tech, media, or internet companies
  • Hands-on experience sourcing, engaging, and closing passive technical and AI talent
  • Familiarity with recruiting tools and systems, including ATS platforms, data tracking/reporting tools, and collaboration software (e.g., Workable, Excel)
  • Demonstrated ability to attract and hire talent from top-tier technology or AI-focused companies
  • Strong written and verbal communication skills, with the ability to partner effectively with technical stakeholders
  • Experience working with cross-regional or global teams
  • Highly self-motivated, results-oriented, and comfortable owning outcomes in a fast-moving environment

Preferred Qualifications

  • Experience recruiting in both in-house and agency environments
  • Background supporting high-growth startups or AI-driven product teams
  • Exposure to hiring for machine learning, applied AI, infrastructure, or data-intensive roles
  • Comfortable operating in a dynamic, fast-paced, and diverse environment

CPRA Privacy Notice for California Candidates

 

Candidarsi ora

Altri lavori