Fully remote | Complete engagement job

Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.

At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.

We are seeking a high-impact Data Engineering Manager to drive the technical evolution and operational success of our Data Engineering practice. In this multifaceted role, you will bridge the gap between business development and technical execution, joining client calls to architect robust solutions and identify the ideal talent profiles to see them through. You will act as a strategic steward of our engineering talent, managing bench workload, defining clear performance goals, and overseeing the professional growth of your team through rigorous technical mentorship.

As a cultural ambassador for our Center of Excellence, you will operate with an owner mentality to increase organizational efficiency. This involves assessing top-tier talent, curating content for accelerated upskilling programs, and proactively iterating on internal processes. By merging solution scoping with hands-on talent development, you will ensure our engineering output consistently meets our high bar for quality while driving superior delivery for our clients

Functional Responsibilities:

Join calls with potential clients to sell our Data Engineering capabilities and understand which types of profiles they are after
Scope solutions to solve a given business problem presented by a client
Handle & monitor workload for engineers on the bench
Craft upskilling programs based on available content
Mentor engineers on how to deal with technical challenges
Run and socialize performance reviews for the engineers lead
Assist engineers on goal definition and progress tracking
Be a cultural ambassador for the company and the center of excellence
Interview and assess technical skills in the Data Engineering field
Help either test or curate content to speed up the content creation process for training purposes
Proactively propose improvements to our current processes in order to increase efficiency

Qualifications:

7+ years of total professional experience, with a consistent track record of professional growth and increasing responsibility.
5+ years of experience in specialized data roles, such as Data Engineering or Analytics Engineering, with deep domain expertise.
2+ years of experience in leadership roles, demonstrating the ability to manage high-performing teams or lead complex, multi-stakeholder projects.
Advanced English proficiency, with exceptional written and verbal communication skills tailored for both technical and executive audiences.
Mastery of data fundamentals, able to design high level data architectures and explain the relationship between each component and their purpose.
Proven track record of execution, with a demonstrated ability to deliver high-impact results in fast-paced or ambiguous environments.
Strong project management expertise, including proficiency in agile methodologies, resource planning, and risk mitigation.
Experience in mentoring and coaching, with a focus on developing technical talent and fostering a culture of continuous learning.
Strategic problem-solving skills, with a high degree of rigor in measuring outcomes and ensuring data integrity.
Exceptional stakeholder management skills, acting as a bridge between technical execution and business strategy.

Our Benefits:

Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.

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 are 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.

Data Engineering Manager

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