Tech Lead Manager (Virtual Assistant team)

Location: Portugal

Department: Data

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Lisbon Tech Hub

In 2022, QuintoAndar proudly opened its first European tech hub in Lisbon, marking a significant milestone in our global expansion. 

Our Lisbon tech hub is home to a team of experienced engineers, designers, product managers, and data scientists. You'll collaborate closely with teams primarily based in Brazil, contributing to our innovative projects on a global scale. 

Location & Remote Work for technology and remote-first roles

At QuintoAndar, we embrace a remote-first philosophy, allowing you to work from anywhere in Portugal. However, for those who prefer in-person collaboration, we offer a vibrant office in Lisbon's historic center.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• Interview with Recruiter
• Tech Screening
• Interviews with Data Team
• Leadership & Management
• Offer

Tech Lead Manager Responsibilities At QuintoAndar

As a Tech Lead Manager (TLM), you will balance hands-on technical work with managerial responsibilities, having the opportunity to make a significant impact through both technical excellence and strategic leadership. 

This role is designed for professionals who are passionate about deep technical challenges and team leadership, allowing you to grow by solving complex problems. You'll drive high-impact projects, mentor and guide team members, and play a crucial role in shaping the technical direction of our products.

On top of being a great engineer, we expect you to:

• Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML. 
• Be a technical reference to the team, including doing hands-on engineering work.
• Shaping the technical direction of our products, translating business requirements into solutions.
• Discuss business requirements with the Product Manager and other stakeholders.

Requirements

• Solid understanding of the engineering challenges of deploying machine learning systems to production;
• Solid understanding of systems, software and data engineering best practices;
• Proficiency with cloud-based services;
• Proficiency in Python or another major programming language;
• Someone up-to-date with recent advances in Machine Learning Engineering, and willing to share his/her knowledge with the other members of the Data and AI Chapter;
• Excellent written and verbal technical communication skills;
• Have experience building backend systems, event driven architectures and rest/http applications
• Have experience building solutions with LLMs (RAG, fine-tuning);
• Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
• Experience leading teams and managing careers.

You'll stand out if you:

• General understanding of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.;
• Have experience working at fast-growing startups;
• Have track record implementing scalable and durable solutions;
• Have solid experience with Data Science

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Meal allowance
• Health insurance (Multicare), with/ co-pay (in Portugal)
• Work from home allowance
• Transportation
• 25 vacation days per year
• Labor accident insurance
• Life insurance
• Child care allowance (children up to 5 years old): 100,00 EUR/month
• Parental leave
• 10 consecutive extra days of paid recess at the end of the year, not discounted from vacation 
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.

#LI-MD1