Hire AI Product Managers

Recruit top AI Product Managers from Latin America with Lupa. Save 70% in costs, onboard in 21 days. Pre-vetted candidates, seamless compliance.

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Hire Remote AI Product Managers

Daniela Carrillo
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4 years of experience
Part-Time

Daniela is an AI practitioner delivering smart systems that solve tangible challenges.

Skills
  • Machine Learning Models
  • AI Experimentation
  • Tool Integration
  • Product Thinking
  • System Optimization
Martina Acosta
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9 years of experience
Part-Time

Martina, a skilled prompt engineer, excels in crafting precise, impactful solutions.

Skills
  • Data Labeling
  • NLP
  • Python
  • LLMs
  • AI Ethics
Nathalie Perdomo
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6 years of experience
Part-Time

Nathalie is an AI strategist committed to building smart and responsible technologies.

Skills
  • Machine Learning
  • Model Deployment
  • Python & TensorFlow
  • Data Preprocessing
  • Problem Solving
Héctor Valencia
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12 years of experience
Full-Time

Héctor is an AI problem-solver building systems that address real and technical challenges.

Skills
  • Machine Learning
  • AI Deployment
  • Technical Architecture
  • Problem Solving
  • Workflow Automation
María González
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5 years of experience
Full-Time

María is an AI professional focused on developing innovative and practical tech solutions.

Skills
  • AI Strategy
  • Machine Learning
  • Product Roadmapping
  • Data Analysis
  • Problem Solving
Florencia Etcheverry
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9 years of experience
Part-Time

Florencia is an AI expert creating intelligent systems for real, practical applications.

Skills
  • Predictive Modeling
  • Data Engineering
  • AI Applications
  • Python & ML Libraries
  • Data-Driven Development
Paola Cervantes
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5 years of experience
Full-Time

Paola is an AI developer building useful, intelligent products for real applications.

Skills
  • Machine Learning
  • Neural Networks
  • Python Development
  • Model Deployment
  • Tech Integration
Tomás Gutiérrez
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6 years of experience
Full-Time

Tomás is an AI professional focused on building reliable and intelligent systems.

Skills
  • Machine Learning
  • Data Engineering
  • AI Strategy
  • Product Integration
  • Problem Solving
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Testimonials

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

Lupa's Proven Process

Your path to hiring success in 4 simple steps:
Day 1
Define The Role

Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.

Day 2
Targeted Search

Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.

Day 3 & 4
Evaluation

We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.

Day 5
Shortlist Delivery

Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.

Book a Free Consultation

Reviews

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

“We scaled our first tech team at record speed with Lupa. We couldn’t be happier with the service and the candidates we were sent.”

Mateo Albarracin
CEO, Bacu

"Recruiting used to be a challenge, but Lupa transformed everything. Their professional, agile team delivers top-quality candidates, understands our needs, and provides exceptional personalized service. Highly recommended!"

Rogerio Arguello
Accounting and Finance Director, Pasos al Éxito

“Lupa has become more than just a provider; it’s a true ally for Pirani in recruitment processes. The team is always available to support and deliver the best service. Additionally, I believe they offer highly competitive rates and service within the market.”

Tania Oquendo Henao
Head of People, Pirani

"Highly professional, patient with our changes, and always maintaining clear communication with candidates. We look forward to continuing to work with you on all our future roles."

Alberto Andrade Chiquete
VP of Revenue, Komet Sales

“Lupa has been an exceptional partner this year, deeply committed to understanding our unique needs and staying flexible to support us. We're excited to continue our collaboration into 2025.”

John Vanko
CTO, GymOwners

"What I love about Lupa is their approach to sharing small, carefully selected batches of candidates. They focus on sending only the three most qualified individuals, which has already helped us successfully fill 7 roles.”

Daniel Ruiz
Head of Engineering, Fuse Finance

"We hired 2 of our key initial developers with Lupa. The consultation was very helpful, the candidates were great and the process has been super fluid. We're already planning to do our next batch of hiring with Lupa. 5 stars."

Joaquin Oliva
Co-Founder, EBI

"Working with Lupa for LatAm hiring has been fantastic. They found us a highly skilled candidate at a better rate than our previous staffing company. The fit is perfect, and we’re excited to collaborate on more roles."

Kim Heger
Chief Talent Officer, Hakkoda

"We compared Lupa with another LatAm headhunter we found through Google, and Lupa delivered a far superior experience. Their consultative approach stood out, and the quality of their candidates was superior. I've hired through Lupa for both of my companies and look forward to building more of my LatAm team with their support."

Josh Berzansky
CEO, Proven Promotions & Vorgee USA

“We’ve worked with Lupa on multiple roles, and they’ve delivered time and again. From sourcing an incredible Senior FullStack Developer to supporting our broader hiring needs, their team has been proactive, kind, and incredibly easy to work with. It really feels like we’ve gained a trusted partner in hiring.”

Jeannine LeBeau
Director of People and Operations, Intevity

Working with Lupa was a great experience. We struggled to find software engineers with a specific skill set in the US, but Lupa helped us refine the role and articulate our needs. Their strategic approach made all the difference in finding the right person. Highly recommend!

Mike Bohlander
CTO and Co-Founder, Outgo

Lupa goes beyond typical headhunters. They helped me craft the role, refine the interview process, and even navigate international payroll. I felt truly supported—and I’m thrilled with the person I hired. What stood out most was their responsiveness and the thoughtful, consultative approach they brought.

Matt Clifford
Founder, Matt B. Clifford Consulting

AI Product Manager Soft Skills

Essential soft skills that define effective AI Product Managers

Communication

Communicate complex AI concepts to diverse stakeholders clearly and effectively

Collaboration

Work seamlessly with cross-functional teams to achieve common product goals

Empathy

Understand user needs and team dynamics to create user-centric AI solutions

Adaptability

Navigating rapidly changing AI landscapes and pivot strategies as needed

Decision-Making

Make informed decisions amidst uncertainty and incomplete data

Vision

Develop a long-term strategy for AI products that aligns with company goals

AI Product Manager Skills

Essential technical capabilities that elevate your projects

Machine Learning Algorithms

Understanding of supervised, unsupervised, and reinforcement learning techniques.

Data Analysis

Proficient in using tools like Pandas, NumPy, and Matplotlib for analyzing and visualizing data.

Model Evaluation

Able to assess model performance using metrics like accuracy, precision, and recall.

AI Frameworks

Experience with TensorFlow, PyTorch, or Keras for building and deploying models.

API Deployment

Knowledge in deploying models as APIs using REST or gRPC to integrate with other systems.

Data Preprocessing

Techniques for cleaning, transforming, and preparing data for model training.

How to Write an Effective Job Post for Hiring AI Product Managers

This is an example job post, including a sample salary expectation. Customize it to better suit your needs, budget, and attract top candidates.

Recommended Titles

  • Data Product Manager
  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • Data Analyst
  • AI Research Scientist

Role Overview

  • Tech Stack: Experience with TensorFlow, Python, AWS
  • Project Scope: Lead AI-driven product initiatives; translate user needs into technical solutions; drive the product roadmap
  • Team Size: Partner with a diverse team of 7 cross-functional experts

Role Requirements

  • Years of Experience: Minimum of 5 years in AI product management
  • Core Skills: Strong analytical skills, stakeholder management, and data-driven decision-making
  • Must-Have Technologies: Familiarity with AI tools, Machine Learning frameworks, and data visualization techniques

Role Benefits

  • Salary Range: Competitive salary based on experience, $120,000 - $160,000
  • Remote Options: Hybrid working environment with flexible hours
  • Growth Opportunities: Access to AI seminars, certification courses, and career advancement tracks

Do

  • Highlight projects and responsibilities
  • Emphasize important technical skills
  • Offer a glimpse into team dynamics
  • Mention potential career advancements
  • Use clear and persuasive wording

Don't

  • Don't use generic descriptions.
  • Don't overlook essential qualifications.
  • Don't write a novel-length post.
  • Don't skip company background.
  • Don't hide the salary information.

Top AI Product Manager Interview Questions

Essential questions for evaluating AI Product Manager

How do you prioritize features for an AI product?

Look for a candidate who understands balancing business impact, user needs, and technical feasibility. They should mention using data-backed insights and feedback from stakeholders.

Can you explain how you would approach a model's training and deployment?

They should demonstrate knowledge of machine learning cycles, including data collection, training, evaluation, and deployment, along with monitoring model performance post-launch.

How do you handle model biases in AI products?

Seek an understanding of identifying biases in data, selecting appropriate evaluation metrics, and designing interventions to minimize unfair impacts.

What metrics do you focus on to evaluate the success of an AI model?

The candidate should mention precision, recall, F1-score, and other relevant metrics, depending on the problem type, showing they know how to choose the right metrics for the situation.

How do you approach data privacy and ethics in AI product development?

They should display an understanding of regulatory requirements, anonymization techniques, and ethical considerations to ensure responsible AI use.

Can you describe a time when you had to solve a complex problem in an AI project?

Look for candidates who can articulate a clear process and demonstrate creativity in their approach. They should explain the problem, their strategy, and the outcome, highlighting their ability to navigate complexity.

How do you prioritize tasks when faced with multiple AI projects?

Assess their ability to balance competing priorities. They should reflect a strategic mindset, taking into account business goals, potential impact, and resource allocation.

What steps do you take when an AI solution doesn't perform as expected?

Evaluate their problem-solving mindset and adaptability. They should outline a methodical response, including diagnostics, hypothesis testing, and iterations, demonstrating resilience and analytical skills.

How do you ensure alignment between AI technical teams and business objectives?

Look for their communication and collaboration skills. Successful candidates will discuss bridging gaps, ensuring both technical feasibility and alignment with business strategy, and fostering teamwork.

How do you approach learning new AI technologies or methodologies?

Identify their commitment to continuous learning. They should display curiosity and proactive engagement with new trends, illustrating a forward-thinking approach essential for AI innovation.

How do you handle conflicts within your team?

Look for candidates who remain calm under pressure and seek win-win solutions. They should demonstrate active listening and empathy in conflict scenarios.

Can you describe a time when you had to deliver difficult feedback to someone?

Seek responses where the candidate was honest yet considerate. They should balance clarity with empathy and focus on constructive outcomes.

How do you maintain communication with cross-functional teams?

The ideal answer will show effective strategies for regular updates and transparency. Look for inclusivity and adaptability in communication style.

Describe a stressful situation in a project and how you managed it.

Look for evidence of proactive problem-solving and prioritization. Candidates should show resilience and the ability to keep the team motivated.

What leadership style do you use to motivate your team?

Seek candidates who adapt their style to their team's needs. They should focus on empowerment, trust-building, and recognizing individual contributions.

  • Poor Understanding of Tech Trends
  • Inability to Define Clear Objectives
  • Lack of User-Centric Approach
  • Failure to Collaborate with Teams
  • Overlooking Regulatory Implications

Why We Stand Out From Other Recruiting Firms

From search to hire, our process is designed to secure the perfect talent for your team

Local Expertise

Tap into our knowledge of the LatAm market to secure the best talent at competitive, local rates. We know where to look, who to hire, and how to meet your needs precisely.

Direct Control

Retain complete control over your hiring process. With our strategic insights, you’ll know exactly where to find top talent, who to hire, and what to offer for a perfect match.

Seamless Compliance

We manage contracts, tax laws, and labor regulations, offering a worry-free recruitment experience tailored to your business needs, free of hidden costs and surprises.

Table of contents
Ready to hire remote talent in Latin America?

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Joseph Burns
Founder

Top AI Product Manager Interview Questions

Essential questions for evaluating AI Product Manager

How do you prioritize features for an AI product?

Look for a candidate who understands balancing business impact, user needs, and technical feasibility. They should mention using data-backed insights and feedback from stakeholders.

Can you explain how you would approach a model's training and deployment?

They should demonstrate knowledge of machine learning cycles, including data collection, training, evaluation, and deployment, along with monitoring model performance post-launch.

How do you handle model biases in AI products?

Seek an understanding of identifying biases in data, selecting appropriate evaluation metrics, and designing interventions to minimize unfair impacts.

What metrics do you focus on to evaluate the success of an AI model?

The candidate should mention precision, recall, F1-score, and other relevant metrics, depending on the problem type, showing they know how to choose the right metrics for the situation.

How do you approach data privacy and ethics in AI product development?

They should display an understanding of regulatory requirements, anonymization techniques, and ethical considerations to ensure responsible AI use.

Can you describe a time when you had to solve a complex problem in an AI project?

Look for candidates who can articulate a clear process and demonstrate creativity in their approach. They should explain the problem, their strategy, and the outcome, highlighting their ability to navigate complexity.

How do you prioritize tasks when faced with multiple AI projects?

Assess their ability to balance competing priorities. They should reflect a strategic mindset, taking into account business goals, potential impact, and resource allocation.

What steps do you take when an AI solution doesn't perform as expected?

Evaluate their problem-solving mindset and adaptability. They should outline a methodical response, including diagnostics, hypothesis testing, and iterations, demonstrating resilience and analytical skills.

How do you ensure alignment between AI technical teams and business objectives?

Look for their communication and collaboration skills. Successful candidates will discuss bridging gaps, ensuring both technical feasibility and alignment with business strategy, and fostering teamwork.

How do you approach learning new AI technologies or methodologies?

Identify their commitment to continuous learning. They should display curiosity and proactive engagement with new trends, illustrating a forward-thinking approach essential for AI innovation.

How do you handle conflicts within your team?

Look for candidates who remain calm under pressure and seek win-win solutions. They should demonstrate active listening and empathy in conflict scenarios.

Can you describe a time when you had to deliver difficult feedback to someone?

Seek responses where the candidate was honest yet considerate. They should balance clarity with empathy and focus on constructive outcomes.

How do you maintain communication with cross-functional teams?

The ideal answer will show effective strategies for regular updates and transparency. Look for inclusivity and adaptability in communication style.

Describe a stressful situation in a project and how you managed it.

Look for evidence of proactive problem-solving and prioritization. Candidates should show resilience and the ability to keep the team motivated.

What leadership style do you use to motivate your team?

Seek candidates who adapt their style to their team's needs. They should focus on empowerment, trust-building, and recognizing individual contributions.

  • Poor Understanding of Tech Trends
  • Inability to Define Clear Objectives
  • Lack of User-Centric Approach
  • Failure to Collaborate with Teams
  • Overlooking Regulatory Implications

Frequently Asked Questions

Ready To Hire Remote AI Product Managers In LatAm?

Book a Free Consultation