Platform Senior Product Manager - Sg9 - Mty

John Deere; Monterrey; Presencial; MXN 1.100.000 - 1.450.000; Jornada completa

Descripción de la vacante

John Deere is seeking a Platform Senior Product Manager for MTY to own platform roadmaps, requirements, and success metrics. You will partner with engineering, product, and business stakeholders to deliver platform solutions, drive adoption, onboarding, and rollout strategies, and ensure production readiness across multiple programs.

The ideal candidate has 5+ years as a Product Manager for complex technical products, strong discovery skills, and deep knowledge of robotics, AI, cloud services,

Formación

• 5+ years as a Product Manager for complex technical products and platforms.
• Strong discovery skills, translating needs into roadmaps and measurable value.
• Solid understanding of robotics software, AI, cloud services, and data systems.
• Experience with CVML lifecycle including data ingestion, labeling, training, and inference.
• Proficiency in Agile/Scrum and cross-functional execution with engineering and business teams.

Responsabilidades

• Represent the voice of internal customers and programs to drive platform direction.
• Own and prioritize platform roadmaps, requirements, and backlogs.
• Partner with engineering, product, and stakeholders to deliver platform solutions and drive adoption.
• Ensure platform quality, reliability, observability, and production readiness.
• Support CVML learning-loop capabilities across multiple programs.

Conocimientos

Product Manager

Robotics

CVML lifecycle

Agile/Scrum

Cross-functional

Cloud services

Data systems

Communication

Stakeholder mgmt

Educación

Bachelor's degree in Computer Science or related field

Descripción del empleo

Platform Senior Product Manager - SG9 - MTY

Empresa : John Deere Tipo de empleo : Tiempo completo Mexico

Title: Platform Senior Product Manager - SG9 - MTY

Primary Location: Garza Garcia

Function: Product and Process Mgmt (CA)

John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 185years, the company’s portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it’s been replaced with an image of acceleration, swift progress, and innovative leaping toward the company’s 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere’s ongoing investment in emerging markets.

Note: All candidates should have their tax situation certificate (Constancia de Siituación Fiscal) up to date with the salary regime to be eligible for the hiring process.

Main Responsabilities

• Represent the voice of internal customers and program teams by understanding business needs, user requirements, and technical constraints to drive Platform and product direction. Own and prioritize platform roadmaps, requirements, success metrics, and backlogs while translating complex challenges into scalable, reusable platform capabilities. Partner with engineering, product, and business stakeholders to deliver platform solutions, drive adoption, onboarding, and rollout strategies, and ensure platform quality, reliability, observability, and production readiness. Support CVML learning-loop capabilities and continuously improve platform services that enable intelligent machine development across multiple programs.

What Skills You Need

• +5 years of proven experience as a Product Manager, managing complex technical products, platform offerings, engineering tools, or cross-functional technology capabilities, with a proven track record of driving product strategy and successful delivery.
• + Strong ability to understand customer and program-team needs, conduct product discovery, and translate requirements into product roadmaps, success metrics, prioritized backlogs, and measurable business value.
• + Solid understanding of robotics software, autonomous systems, machine learning platforms, cloud services, data systems, and intelligent-machine technologies.
• + Experience with the CVML lifecycle, including data ingestion, curation, labeling, model training, inference workflows, and continuous improvement processes.
• + Proficiency in product lifecycle management, Agile/Scrum methodologies, backlog prioritization, and cross-functional execution with engineering, product, program, and business stakeholders.
• + Strong analytical, problem-solving, decision-making, and stakeholder management skills, with the ability to navigate ambiguity and balance competing priorities.
• + Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• + Demonstrated ability to build alignment, drive adoption, and influence outcomes in a fast-paced, collaborative environment.

What Makes You Stand Out

• + Experience supporting products or platforms related to autonomous systems, robotics, machine learning, computer vision, or artificial intelligence.
• + Experience building and scaling platform products used by engineering teams, including APIs, SDKs, developer tooling, documentation, onboarding experiences, and adoption strategies.
• + Familiarity with fleet operations, telemetry, OTA updates, remote diagnostics, incident management, and operational support workflows.
• + Experience with cloud platforms, edge computing, data-intensive systems, analytics, observability, and large-scale data pipelines.
• + Understanding of product and platform challenges associated with deploying and operating intelligent-machine solutions in production environments.
• + Demonstrated ability to lead cross-functional initiatives and influence outcomes across engineering, product, and business teams.
• + Track record of innovation, research contributions, or technical leadership in robotics, autonomous systems, or machine learning domains.
• + Experience with Voxel51 or similar computer vision and data management platforms is a plus.

Education

'Bachelor's degree or equivalent level in Computer Science, Engineering, Robotics, Software Engineering, Data Engineering, Electrical/Electronic Engineering, Mechatronics, or a related technical field. Advanced degree is preferred where it strengthens product, platform, ML, robotics, or cloud-systems depth.

This position will be posted for a minimum of 10 business days and unposted when a qualified pool of candidates is achieved.

Candidates must have the necessary work permits to work in the country.