Who We Are:
Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
We are currently looking for an exceptional Senior Technical Recruiter to join our team. You will be tasked with selecting the best talent across LATAM and supporting fast-growing recruitment processes within Factored.
What you will be doing:
- Develop and implement innovative sourcing strategies to attract high-caliber talent in AI, Data, and Software Engineering.
- Translate client needs into targeted recruitment strategies, ensuring candidates’ skills are aligned with project demands and ensuring an effective matching process.
- Collaborate closely with account managers and talent tech leads to understand clients’ business objectives and technical requirements.
- Conduct detailed interviews to assess technical expertise, problem-solving abilities, and interpersonal skills.
- Build and maintain strong relationships with candidates to create a pipeline of top talent.
- Continuously refine recruitment and talent processes to enhance efficiency, candidate experience, and quality of hires.
- Stay informed on industry trends, emerging technologies, and market shifts to provide account managers with strategic insights and competitive advantages.
What you will bring:
- 5+ years of technical recruitment experience, preferably in a fast-paced environment.
- Proven track record of successfully placing candidates in technical roles.
- Strong communication, negotiation, and interpersonal skills.
- Adapt to changing priorities and maintain a proactive approach to overcome challenges and deliver results in a dynamic and fast-paced environment.
- Excellent verbal and written communication skills in English and Spanish.
- Portuguese is a plus, enhancing the ability to connect with diverse candidates.
At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.
We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business, but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.
In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.
