---
title: 'Associate Director, Engineering & Quality at Hop'
canonical: 'https://feeny.ai/job/associate-director-engineering-quality-hop-monterrey-msbbrdh901h8'
type: 'job'
last_seen: '2026-10-28'
---

# Associate Director, Engineering & Quality at Hop

- **Company:** Hop
- **Location:** Monterrey, Mexico
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-02-24
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.lever.co/hophr/60494b8f-4aa8-4f6b-9184-997ffe54f419

## Job description

As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.

## About the Team

Join the Data Marketplace Tech team within the CSO organization—a highly visible group responsible for designing, building, and scaling solutions that free up data and empower business decisions across Fitch. The team collaborates closely with stakeholders across the organization to deliver next-generation data capabilities with a focus on faster time to market, data engineering, robust data controls, innovation, and leveraging AI/ML for data solutions.

## How You’ll Make an Impact

- Architect, develop, test, and deploy robust data solutions and architecture diagrams to support evolving business needs.
- Lead hands-on coding and testing for data engineering and data initiatives, ensuring quality and reliability in all deliverables.
- Utilize tools such as Collibra (Data Governance) and Starburst (Data Mesh) to drive advanced data management and integration across the organization.
- Perform complex SQL queries and data analyses to directly support critical business decisions.
- Design, implement, and test APIs and data solutions using Python and related technologies.
- Estimate project efforts, coordinate and prioritize multiple projects, and mentor contractors and junior team members.
- Collaborate with cross-functional teams to align data solutions with broader business goals and present project status and technical insights to stakeholders and senior management.
- Collaborate closely with AI/ML teams to align data engineering practices with leading-edge use cases such as LLM-powered applications, intelligent assistants, and enterprise semantic search within our environment, which includes GPT, Amazon Q, and Microsoft Copilot.

You May be a Good Fit if

- You have a Bachelor’s degree in Computer Science, Information Technology, or a related field.
- You bring 8+ years of hands-on experience in the data space, with demonstrated expertise in financial services.
- You possess extensive experience with Data Lake, Data Governance, Data Mesh, and Data Warehouses, and advanced proficiency in SQL for data analysis and testing.
- You have demonstrated experience programming in Python and possess expertise in APIs.
- You demonstrate proficiency in CI/CD pipelines, Agile methodologies, and project management tools such as Jira.
- You are aware of data solutions supporting AI/ML workloads, including familiarity with MCP, knowledge graphs, and vector databases.

What Would Make You Stand Out

- Expertise with Collibra Data Governance and Starburst Data Mesh.
- Experience with marketplace architecture supporting AI/ML workloads.
- Hands-on experience with LLM/RAG, semantic search, and NLP applications.
- Strong project management and multitasking abilities, with a proven track record of delivering high-quality, test-driven code.
- Excellent communication and presentation skills, and the ability to mentor and upskill technical teams.
- Demonstrated ability to work effectively in cross-functional, collaborative environments.

## Why Choose Our Client

- Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.
- A Culture of Learning & Mobility: Dedicated training, leadership development, and mentorship programs designed to ensure that your time at our client will be a continuous learning opportunity.
- Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.
- Promoting Health & Well-being: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational well-being.
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, are designed to help you balance career and family life effectively.
- Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.
- Dedication to Giving Back: Paid volunteer days, matched funding for donations, and ample opportunities to volunteer in your community.

Our client is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect our client’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at our client Ratings, you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Our client is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

## About Hop

## Company Overview
- **One-liner**: Hop (HopHR) is a recruitment platform that connects U.S. companies with pre-vetted AI, machine learning, and data science talent from Latin America.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Walnut Creek, California, United States
- **Founded**: 2016
- **Founders**: Nazli Nadem and Arash Sohrabian

## Core Business
- **Primary industry/industries**: Staffing and Recruiting (specialized in AI/ML and data science talent)
- **Target customers**: B2B – startups to Fortune 500 companies seeking technical talent, especially in AI, machine learning, and data engineering
- **Mission or purpose statement**: “Break geographic barriers, giving global talent access to high-paying, future-focused roles” and promote diversity in tech hiring.

## Products & Services
- **Recruitment Platform**: AI-driven matching and vetting platform that evaluates candidates using proprietary technology; only top 1 in 500 talents are selected.
- **Direct Hire**: Full-time placement of pre-vetted engineers (AI/ML, data science, full-stack, MLOps, etc.) with a 16-day selection process.
- **Contract-to-Hire**: Trial period engagements before committing to a full-time offer.
- **Team Augmentation**: On-demand scaling of engineering capacity with LATAM-based talent working in U.S. time zones.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Headcount of 16 employees (+12.5% YoY); talent pool of over 100,000 data science and AI professionals worldwide (including 35,000+ women in tech)
- **Notable Investors/Partners**: No disclosed investors; trusted by startups and Fortune 500 companies; featured in Forbes.
- **Growth Signals**: 80% client return rate; LinkedIn followers growing +10.5% yearly; expanding marketing team (hiring Marketing Manager as of Sep 2024).

## Competitive Advantages
- **LATAM Focus**: Timezone-aligned talent (mostly Latin America) enabling real-time collaboration at lower cost compared to U.S.-based hires.
- **Rigorous Vetting**: Proprietary 16-day evaluation covering technical skills, communication, and cultural fit; only top 1 in 500 candidates pass.
- **Diversity Commitment**: Actively promotes hiring of women and underrepresented groups in tech; over 35,000 women in their talent pool.
- **AI-Powered Matching**: Uses machine learning algorithms and a human-segmented database to surface the best candidates quickly.

## Strategic Focus
- **Geographic Expansion**: Continue breaking barriers by connecting LATAM talent with U.S. companies, with a goal to uplift communities.
- **AI Talent Specialization**: Deepening expertise in generative AI, LLMs, and MLOps to meet growing demand.
- **Scalability**: Offering flexible engagement models (direct hire, contract-to-hire, augmentation) to adapt to client needs.

## Why Work Here
- **Culture**: Rated 4.2/5.0 on employer reviews (Culture: 4.3, Career: 4.3, Compensation: 3.8). Described as “zestful,” encouraging bold initiatives and diversity.
- **Work Mode**: Hybrid workspace – employees engage in a combination of remote and on-site work.
- **Notable Perks**: Focus on professional growth; access to top mentors and training on ethics, work culture, and self-mastery.
- **Engineering Culture**: Emphasis on using AI tools to enhance recruitment, with a tech-forward approach and a small, distributed team (16 people across 6 countries).

## Sources
1. [LinkedIn – Hop](https://linkedin.com/company/hophr)
2. [HopHR About Page](https://hophr.com/about)
3. [HopHR Services Page](https://hophr.com/services)
4. [Built In – HopHR Careers](https://builtin.com/company/hophr)
5. [HopHR Jobs on Lever](https://jobs.lever.co/hophr)

## Other roles at Hop

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