2 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
13h
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
11h

Related jobs to explore

Based on your search for machine learning platform

Learning and Development Coordinator - English speakers
Aon Corporation —Cuauhtémoc, CDMX
Maintain learning records, learning management system (LMS) data, and training documentation to ensure accurate reporting and compliance.
Compliance Expert
Nubank —Ciudad de México, CDMX
The Compliance Team has a very special role in our mission: support the company’s growth by identifying the regulatory risks that NU faces; designing and…
Postulación rápida
13d

Quiero recibir la alerta de empleo más reciente para machine learning platform en loreto cdmx

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

machine learning platform jobs near loreto cdmx

Empleos de Case Manager en Ciudad De México

Empleos de Sales Operations Manager en Desde Casa

Empleos de Sales Operations Manager en Ciudad De México

Empleos de Key Account Manager en Ciudad De México

Empleos de Master Data en Monterrey, N. L.

Empleos de Data Scientist en Monterrey, N. L.

Empleos de Data Scientist en Guadalajara, JAL.

Empleos de Data Intern en Monterrey, N. L.

Empleos de Data Scientist en Desde Casa

Empleos de Data Scientist en Colonia Portales, CDMX

Sales Operations Sr. Manager

PayJoy -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Tiempo completo
Hace 13 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.

Postúlate ahora

Refina tu búsqueda

machine learning platform empleos en loreto cdmx

Sales Operations Sr. Manager

Data Scientist - AI

Related jobs to explore

Quiero recibir la alerta de empleo más reciente para machine learning platform en loreto cdmx

Related Searches

Explorar empleos en más ubicaciones

Key Responsabilities:

Qualifications:

Benefits:

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado