Director of Data Engineering

About the Role:

At Factored, we help ambitious companies build world-class AI teams faster and more cost-effectively. Our stellar engineering teams are extremely talented across a wide range of state-of-the-art AI technologies, including data science, machine learning, data engineering, and data analytics. 

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 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 programs and on behalf of our clients.

We are searching for a highly experienced Director of Data Engineering to lead our DE Center of Excellence (CoE) made up of an elite group of data engineers working on a diverse range of client applications as well as innovative in-house product development initiatives. #LI-Remote

• Ensure high levels of engagement across the entire DE engineering team regardless of whether the engineer works on professional services projects for a client or internal Factored product development initiatives. 
• Lead the DE center of excellence in a fashion consistent with Factored’s aggressive business growth objectives.
• Rapidly scale a steller DE engineering team and foster an environment of retention.
• Facilitate an environment of Factored team esprit de corp.
• Work closely with the Factored AI training team and cultivate an ongoing environment of continuous learning. 
• Implement a performance management discipline focusing on coaching, mentoring, career guidance/acceleration, and constructive feedback where appropriate.
• Develop a lightweight structure and set of processes that are conducive with efficiency and team empowerment.
• Serve as a role model, leading by example and setting high standards in a fashion consistent with an elite engineering team.
• Maintain strong communications with peers and executive leadership to ensure all teams remain in sync on plans and execution status.
• Identify opportunities to improve funnel conversion and areas of friction in the client and talent experience.
• Manage and successfully execute on company and team objectives in a dynamic start-up oriented, fast-paced engineering environment.

• Extensive experience (5+ years) as a Manager / Director leading and building engineering teams in a fast-paced, dynamic startup environment.
• 8+ years of experience working with leading-edge data-related technologies.
• Experience in a professional services company is preferred.
• Real-world experience building and optimizing distributed / remote engineering teams.
• Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely.
• Proven ability to manage/lead and inspire teams to meet business objectives.
• A deep commitment to Factored’s mission and culture.
• Strong hands-on technical experience working with a wide range of state-of-the-art data engineering technologies. 
• In-depth familiarity with the complete data lifecycle, including Data Science / Machine Learning, Analytics, and Data Engineering.
• Experience with ETL frameworks and technologies and related data engineering platforms.
• Excited about sharing your passion for staying abreast of technology trends, experimenting with and learning new technologies, and participating in internal/external technology-focused communities.
• Serve as a technical thought leader.
• Must be able to think outside the box in implementing creative solutions to challenging business problems.
• Experience managing teams in dynamic, high-growth, innovative engineering environments with demonstrated leadership skills spanning project planning/execution, people management, best practices processes, and technical excellence.

At Factored, we believe that passionate, smart people expect honesty, transparency, and 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 supremely intelligent and talented people, 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 are available to everyone based on their merits, not just 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. We are all dedicated doers and 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. We are committed to accelerating careers and investing in hundreds (hopefully thousands) of highly talented data science engineers and 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.