20 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
5h
Country Manager (Mexico)
Niva —Ciudad de México, CDMX
- $125,000 a $175,000 por año
- Tiempo completo
- Inglés
- Contratos
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Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Inglés
Postulación rápida
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Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Licenciatura
- Sin título de educación superior
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VMware Virtualization Administrator
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- Tiempo completo
- Inglés
Sistemas Distribuidos
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- Tiempo completo
- Inglés
Senior Python Developer – IA / LLMs
IES-Systems —Del Valle Centro, CDMX
- $20,000 a $30,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Desarrollo de software
- Habilidades de comunicación
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Field Operations Trainer - MX
Symbotic Mexico —Cuauhtémoc, CDMX
- Bilingüe
- Español
- Administración de personal
Postulación rápida
AI Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Agent Architect
Pencil —Ciudad de México, CDMX
- Tiempo completo
- Python
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
Postulación rápida
Data Annotator
Motive —Ciudad de México, CDMX
- Incluye fines de semana
- Informática
software engineer I
EVO Payments Mexico, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Oracle
- Informática
- DevOps
Postulación rápida
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
8d
Staff Auditor – Data & Analytics
PepsiCo —Miguel Hidalgo, CDMX
- Administración de personal
- Informática
- Inglés
14d
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
People Analytics Analyst
Infoblox —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Administración de personal
- Recursos humanos
14d

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Sales Operations Sr. Manager

PayJoy -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 5 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

Country Manager (Mexico)

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

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