Nubank is the leading financial technology company in Latin America. Its first product, launched in 2014, is a no-fee credit card that is fully managed by a mobile app. Almost 30 million people have requested the product since launch, and the company has passed the 10 million customer mark. In 2017, Nubank launched its proprietary loyalty rewards program ("Nubank Rewards"), as well as a digital account ("NuConta") that is already used by 7 million people. This year, the company began testing its personal loan service and took its first steps in international expansion, opening offices in Mexico and Argentina. To date, Nubank has raised around US$ 420 million in seven equity investment rounds from Sequoia Capital, Kaszek Ventures, Tiger Global Management, QED, Founders Fund, DST Global, Redpoint Ventures, Ribbit Capital, Dragoneer Investment Group, Thrive Capital and Tencent. Recently, Nubank was elected as the most innovative company in Latin America and ranked no. 36 on Fast Company' 50 Most Innovative Companies ranking.
Our Data Science Chapter
The AI manager is responsible for developing and growing high-performing teams of data scientists and ML engineers. They lead by defining the vision of the team and help the team deliver on the vision by setting clear goals and objectives, providing information and context, clearing obstacles, brokering consensus and working quickly to close gaps in key resources and skills. They attend to team and individual health and performance by safeguarding the team’s psychological safety, providing clear, specific, timely feedback, taking decisive actions to manage performance, advocating for recognition of the contributions of the team and protecting the team from unproductive pursuits. They conduct performance reviews, participate in calibration, solicit feedback and generally perform the administrative functions of people management. Finally, they deliver results.
AI managers will generally have strong technical backgrounds in disciplines related to data science since they need to be able to assess technical performance, manage resourcing plans, provide coaching and help their team members grow professionally. However, frequently, their team members may have quite different technical skills and they may work in other squads and tribes. In such cases, AI managers will have to ensure that they actively solicit input and feedback from experts who share the same technical backgrounds as their reports and from managers and leaders who can assess their performance.
Since much of data science shares work patterns with engineering and software development, AI managers should have a good understanding of the software development lifecycle and the popular tools used in modern systems. They should also understand, at a conceptual level, the specific concerns of the data science modeling lifecycle including the steps of data preparation, model training, model management, logging and monitoring of models in production. Both these dimensions of knowledge will be necessary to manage effectively in this role.
AI managers must also be excellent problem solvers, adept at working across teams of engineers, analysts, product managers and business leaders in order to address conflict, drive consensus and make decisions in the best interests of the company. They must be able to help their teams prioritize their work, make smart, timely decisions, execute at a high level of professional skill, quality and speed.
AI managers should have a strong record of growing and managing teams of data scientists and engineers with a track record of delivering high impact solutions to business problems. Evidence includes demonstrated value, quality, and innovation.
AI managers should have a track record of growing and nurturing data science talent and leadership, and teams with cultures characterized by high trust, teamwork, safety and productivity.
- 15 days paid vacations per year.
- 1 month year end bonus (aguinaldo).
- Food allowance (vales de despensa).
- Life insurance.
- Health insurance.
Diversity and Inclusion
We want to build products and experiences for everyone who wants to take back control over their finances, that's why we build strong and diverse teams that rise up to the challenge. We are a team of the most creative people in technology, and we hire under equal opportunity, irrespective of gender, ethnicity, religion, sexual orientation or background. We are proud to say that 30% of our team recognize themselves as part of the LGBTQ+ community, and 40% of our team identify as women, in all positions and seniority levels. We are a very process-light organization that values human interactions, and that is a very important part of our culture. At Nu, everyone has the opportunity to speak up and participate, grow and share ideas.