About Ford and ATPFord Motor Company has endured and thrived for more than 118 years by reimagining how things are built. Today, Ford is leading a once-in-a-generation transformation in manufacturing — scaling EVs, integrating humanoid robotics, additive manufacturing, AI vision, and digital platforms into one seamless operating system: the Ford Production System (FPS/FPS+) that operates within the FAST framework. Ford Motor Company is undergoing a historic industrial shift — from building great vehicles to building great systems that scale across them. The Advanced Industrial Technology & Platforms (AITP) organisation was created to operationalise that shift. Our job is not to deploy isolated tools;

it is to build a systemthat learns from factory truth, transforms it into scalable platforms, and turns those platforms into enterprise business value. Advanced Industrial Technology and Platforms (ATP) is a new, centralised organisation designed to position Ford to lead industrial innovation. This team will accelerate our digital evolution and manufacturing excellence — advancing the modernisation of our Ford Manufacturing operations with cutting-edge technology. As part of Ford Manufacturing, ATP is designed to integrate directly into our manufacturing sites, partner across teams (GME, safety, and drive innovation from initial idea to full implementation.ATP is led by Managing Director Yung Fung, reporting to Ford Chief Manufacturing Officer Bryce Currie. This structure includes four vertical business units — focused on specific technology stacks — and four horizontals — shared services designed to ensure scale, deployment, and operational consistency.As part of the AITP organisation, the Sight Vertical is responsible for building an end-to-end business around AI/ML anomaly detection products, operating across two product families: image-based detection (Vision) and parametric data-based detection (Sense). The Sense family — comprising e (MiniTerms), g (AI ToolSense),, ng and — is Ford's scalable platform for Condition Based Maintenance (CBM), process quality assurance, and zero-downtime, zero-defect manufacturing.How Sense WorksSense operates through value-focused, cross-functional product teams. Product Managers lead the product problem, desired outcome and priority. Engineers and product designers work with them to discover and deliver effective solutions. The Sense Engineering Manager leads people, capacity,



technical-system and engineering-health accountability.The OpportunityWe are looking for a Sense Engineering Manager to build and lead the engineering organisation behind Ford's parametric anomaly detection portfolio.This is a people-leadership role. Your product is the engineering team and the technical system it owns. You will be accountable for the capability, capacity, technical integrity and operating health of Engineering across five Sense product streams — Machine, Tooling, Stamping, Energy and MILO — as they progress from proven plant-level value to global scale.Sense products already run at meaningful scale: over 36,000 active MiniTerms at Valencia, multiple neural networks in production for AI ToolSense, and MILO deployed in production test stands globally. Your mandate is to make that scale sustainable, repeatable and safe — reducing bespoke plant engineering, industrialising deployment, and building an engineering team that is not dependent on any single individual.The PositionReporting to the Head of Product — Sense, you will directly manage the Sense Engineering Team, as well as managing relationships with capacity-increasing purchase service staff. You will provide the Engineering professional home for engineers embedded in product teams, and assign engineers to work streams with input from the Head of Product and Product Managers.You will work closely with Sense Product Managers, product designers, and the Reach & Launch team, and partner with ATP Core, cybersecurity, data and infrastructure teams across Ford. Requires availability to travel internationally to Ford manufacturing sites globally, where required.Success in RoleA capable, healthy and appropriately sized Sense Engineering Team is in place, with clear ownership, active development plans and strong retention.Engineering capacity, demand and resource gaps are visibly and honestly managed — no unfunded work is absorbed silently.Architecture principles,



decision records and technical standards exist and are used across streams.Sense products achieve their committed TRL/MRL/IRL gates on reproducible, defensible technical evidence.Engineering effort per plant deployment falls measurably;

deployment cycle time compresses.A sustainable L2/L3 support model operates with named service owners, current runbooks and a declining rate of recurring incidents.Single-person dependencies are demonstrably reduced across all critical Sense services.Sense engineering practices are recognised as a reference standard within the Sight Vertical and ATP.

Minimum RequirementsBachelor's degree in Computer Science, Software Engineering, Electrical/Electronic Engineering or a related technical field.Demonstrated people-management experience leading software or data engineering teams — with direct accountability for performance, development, recruitment and team culture.Significant hands-on software engineering background (typically 8+ years) with the credibility to govern architecture and challenge technical decisions without owning every one.Experience delivering and operating production software — including CI/CD, release management, observability, incident management and a defined support model.Experience of cloud-native architecture (GCP preferred) and of integrating with operational technology: PLCs, industrial protocols (OPC-UA, MQTT, Modbus) and edge compute.Experience delivering AI/ML or data-intensive products into production, and working effectively with data scientists and data engineers.Proven capacity and prioritisation discipline — able to make trade-offs transparent and escalate constructively rather than over-commit the team.Strong general collaboration and stakeholder skills across multiple regions and time zones.Fluent professional English.Preferred RequirementsMaster's or PhD in a software, data or systems engineering discipline.Experience managing engineers embedded in a product-led operating model (stream-aligned teams, empowered Product Managers).Experience of manufacturing or industrial software at scale — MES, Maximo, digital twins, condition-based maintenance.Experience building an engineering function from a small base, including hiring plans and capability roadmaps.Experience in a matrixed corporate environment influencing without direct line authority.Additional European language (Spanish or German particularly valuable given team locations).

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📌 Atp Sense Engineering Manager (Sabiñánigo)
🏢 Brain Rocket
📍 Sabiñánigo