Your initial focus will be on Technical Vetting & Talent Assessment for the Data Analyst, Analytics Engineer, and Data Engineer roles. Over time, your responsibilities will expand to other critical Data operations as the organization evolves.
Success in this role requires strong technical judgment, an ownership mindset, exceptional communication, and the ability to turn complex operational challenges into scalable, effective processes.
Functional Responsibilities
Technical Vetting & Talent Assessment
Own and define the technical assessment process for the Data Analyst, Analytics Engineer, and Data Engineer roles, keeping it consistent across practices.
Own the tech interviewer pool: select, train, and calibrate interviewers, and add capacity before the process needs it.
Ensure feedback forms and scorecards are always completed, and that feedback quality is consistent across interviewers.
Train new recruiters on technical vetting and align them with the selection process.
Continuously improve the selection process using funnel and quality data.
Hold the bar with stakeholders by giving and receiving pushback on hiring decisions.
Classify candidates based on their skillset into their respective classes.
Audit technical interviewers through scorecards and recordings to ensure fair, accurate, and consistent technical and seniority assessments across Data roles by aligning evaluation criteria, calibrating assessors, and maintaining standardized expectations for each seniority level.
Operational Excellence & Process Improvement
Own and continuously improve critical operational processes across the Data organization, ensuring consistency, efficiency, scalability, and a high-quality experience for engineers, candidates, and stakeholders.
Define, document, and maintain clear processes, competency frameworks, evaluation criteria, and operational standards aligned with Factored's evolving business and client needs.
Identify opportunities to automate and scale workflows, leveraging technology and AI to reduce manual effort, eliminate inefficiencies, and improve operational quality.
Ensure transparent and consistent experiences for everyone involved by establishing clear expectations, communicating evaluation criteria and decisions, and promoting timely, actionable feedback.
Monitor operational performance, track commitments, proactively identify risks and bottlenecks, and provide Data leadership with clear visibility into progress, improvements, and recommended actions.
Coordinate cross-functional teams and leverage engineering expertise to ensure processes are executed effectively, responsibilities are clearly assigned, and improvements are successfully implemented.
Lead operational improvement initiatives end-to-end, defining priorities, owners, timelines, and success metrics, while ensuring effective execution, adoption, and measurable results.
Capability Development & Readiness
Identify recurring technical gaps in vetting and staffing, and work with Training to close them through upskilling and cross-skilling.
Maintain visibility into engineer capabilities, availability, and readiness with engineers in the Bench and Assigned to a Client
Cross-Functional Coordination & Reporting
Give Data leadership a consolidated view of operations, track commitments, and escalate risks with concrete proposals.
Write and maintain up-to-date job descriptions for the in-scope roles.
Qualifications
Strong technical background in Data Engineering, Analytics Engineering, Data Analytics, or related fields, with hands-on experience as an engineer across different Data domains, or as an Engineering Manager with experience supporting technical processes, particularly recruitment. Alternatively, 2–3 years of technical recruiting experience focused on Data Engineers and/or Analytics Engineers, with sufficient technical depth to effectively assess candidates and maintain Factored's high talent standards.
Experience developing or delivering data projects, with a solid understanding of the technical challenges engineers face and what it takes to deliver high-quality solutions and meaningful value to clients.
Academic background in Computer Science, Engineering, or a related field.
Proven ability to design, manage, optimize, and scale complex operational processes, ideally in engineering or other technical environments.
Strong automation and analytical mindset, with experience leveraging technology, data, and AI-enabled solutions to improve efficiency and operational performance.
Strong stakeholder management skills, including the ability to give and receive constructive pushback and collaborate effectively with non-technical stakeholders, recruiting teams, and senior leaders.
Experience working across cultures, particularly in LATAM and the US.
Strong critical thinking and sound judgment in decision-making, particularly when navigating ambiguity.
C1-level English proficiency, both written and spoken.
Ability to lead, coach, and enable others, including training interviewers and recruiters, while building scalable processes that do not require direct involvement in every interview.
Ability to provide clear, constructive, and actionable feedback while creating transparent and positive experiences for candidates, engineers, and stakeholders.
Experience designing or improving technical recruiting and assessment processes.
#li-remote
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.
