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 and data experts globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are committed to testing, vetting, and nurturing the most talented engineers on behalf of our clients.
We are seeking a motivated Sales Development Representative (SDR) with 12+ months of experience selling to AI executives in B2B/B2C organizations. In this role, you will take the lead in generating outbound pipeline for our Account Executive team while engaging with prospects to understand their needs and demonstrate the value of our services.
What you will be doing:
- Conduct thorough account research using tools like Apollo, Nooks, and LinkedIn Navigator.
- Engage prospects effectively across all channels—email, phone, LinkedIn, and video.
- Schedule meetings with qualified data science executives (VP and C-level); meet and exceed sales quotas and pipeline targets.
- Manage a high volume of outbound cold calls using our AI-dialer, Nooks.
- Share best practices with teammates while learning from their approaches in a collaborative team environment.
- Collaborate across teams—including Engineering, Sales, and Marketing—to drive overall growth and align efforts.
Required skills:
- Experience: 12+ months in sales, targeting executives in B2B, focusing on mid-market and enterprise accounts.
- Key Skills: Proficient in cold calling, emailing, LinkedIn DMs, account research, and relationship building to book qualified meetings.
- Drive: Strong problem-solving abilities combined with a hustle mindset and a desire to continuously learn and improve.
- Startup Acumen: Comfortable and adaptable in fast-paced startup environments.
- Advanced English Level.
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 these accolades 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.
