19 publicaciones de empleo destacadas de machine learning platform en loreto cdmx (¡Están contratando!)

Sales Operations Sr. Manager
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Seguro dental
- Seguro de la vista
3h
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Data & Analytics Specialist
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Informática
- SQL
- Licenciatura
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
8d
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Managing Consultant, Advisors & Consulting Services, Performance Analytics
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Inglés
12d
CRM Architect
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- SQL
Data Analyst, AML & Regulatory Compliance
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- SQL
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Staff TAX VAT Analyst
Ford Motor Company —Naucalpan, Méx.
- Microsoft Excel
- Oracle
- ERP systems
Data Engineering Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Oracle
- Informática
- ERP systems
- Seguro dental
- Seguro de la vista
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Senior Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Seguro de la vista
Graphic Design Expert (International)
HumanSignal —Ciudad de México, CDMX
- Hasta $20 por hora
- Medio tiempo
- Home Office (Desde casa)
- Capacitación
- Experiencia en enseñanza
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
6d
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
1h

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Sales Operations Sr. Manager

PayJoy -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 3 horas

Beneficios

Seguro dental
Seguro de la vista
Seguro de vida

Cualificaciones

Experiencia en ventas
Estimación y pronóstico
Portugués

Descripción completa del empleo

About PayJoy

PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role

The Senior Manager, Sales Operations will be responsible for building PayJoy’s global sales force operating model, the processes, and measurement that make our sales teams more effective across every market. This is an enabling role, not just a reporting one: the mandate is to proactively design and roll out the systems that help the sales force sell better, and to standardize how we measure and manage its efficiency so every market is compared on the same basis. This role owns the operating model end to end, first defining how we measure rep efficiency, then giving country teams the tools and processes to act on it, and partnering with Country Managers on the management decisions that follow. Programs like the current SDR initiative are examples of what this function can build and scale globally, and there is significant room to do more. To make that happen at scale, this role works hand in hand with the Tools & Metrics team so that analytics, automation, and tooling are implemented once and rolled out proactively across markets rather than rebuilt country by country.

Key Responsabilities:

Build and own PayJoy’s global sales force operating model, the processes, and measurement standards that enable sales teams to perform better across every market.
Define and roll out a global standard for measuring sales force efficiency, so every market is compared on the same basis (e.g. cost per sale, cost per marginal sale, a low-performer metric, forecasting accuracy, and growth relative to market penetration).
Work hand in hand with the Tools & Metrics team to implement analytics, automation, and tooling once and roll them out proactively across markets, including compensation platforms such as Everstage and patterns already built for promoter operations.
Design and scale enablement programs for the sales force, such as the current SDR initiative, and identify the next set of high-impact programs to build globally.
Support the management layer, target attainment tracking and commission management (managing against targets, not setting them), so leaders can clearly see who is performing and who is not.
Partner with Country Managers to turn the identification of a problem into executed initiatives, translating analysis into concrete actions on the ground.
Set the direction for the sales operating model roadmap and prioritize the highest-impact initiatives across markets.

Qualifications:

5+ years in sales operations, revenue operations, or commercial analytics, ideally in fintech, consumer lending, or another high-volume sales environment.
Strong analytical background: comfortable defining metrics from scratch, working with performance and forecasting data, and turning it into a standard others adopt.
Comfortable with sales tooling in general, CRM, compensation or commission platforms, and BI or dashboarding tools; no need to know our specific stack, just the ability to pick it up quickly.
A track record of improving sales force efficiency or productivity through process and tooling, not just reporting on it.
Confident, credible stakeholder management: able to lead and drive conversations with Country Managers and senior commercial leaders, hold a point of view, and push direction even when it is not immediately agreed with.
Desirable: experience operating across multiple countries or markets, and Spanish or Portuguese fluency

Benefits:

100% Company-funded Health and dental and vision discount plan for employees and immediate family members.
Life insurance.
Phone finance, Headphone, home office equipment and wellness perks.
30 days of Christmas bonus.
20 days paid Vacation.
50% Vacation premium.
13% Saving funds.
$2,000 MXN monthly grocery coupons.
$2,000 USD annual Co-working Travel perk.
$2,000 USD annual Professional Development perk.

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles

Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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machine learning platform empleos en loreto cdmx

Sales Operations Sr. Manager

Senior Data Engineer

Data Engineering Director: eCommerce & Consumer

Senior Data Engineer

Sr. Data Scientist

Data & Analytics Specialist

Data Engineer Senior with GCP and Python - MX-Any City

Senior AI Engineer

Managing Consultant, Advisors & Consulting Services, Performance Analytics

CRM Architect

Data Analyst, AML & Regulatory Compliance

AI DevOps Engineer

Staff TAX VAT Analyst

Data Engineering Engineer

Data Engineer II, DASH Device Operations

Senior Mobile Security Engineer

Graphic Design Expert (International)

Senior Data Scientist, DTC

Data Scientist - AI

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