Jobs at HERE Technologies

Drives strategic technology outcomes across interconnected initiatives. Establishes governance frameworks, roadmaps, delivery standards, investment priorities, and executive reporting. Manages dependencies, resources, risks, stakeholder alignment, benefit realization, adoption, and operational readiness across Engineering, Product, Architecture, Infrastructure, Security, Finance, and business teams. Uses AI capabilities to improve portfolio insights, forecasting, governance reporting, and executive decision support.

Leads process systems engineering for global content operations, designing and scaling tools, workflows, and technical solutions. Responsibilities include mentoring engineers, improving database integrity, automating processes, performing root-cause analysis, supporting software development, leading pilots and launches, conducting spatial analytics, and managing cross-functional technical programs. The role requires expertise in geospatial technologies, software engineering, data analysis, cloud platforms, AI/ML, Agile delivery, and operational readiness.

Execute risk-based IT audit engagements covering SOX ITGCs, application controls, cybersecurity, cloud, privacy, AI governance, technology operations, and third-party risks. Responsibilities include planning, risk assessment, control testing, audit reporting, remediation validation, SOC report reviews, stakeholder collaboration, and improving audit methodologies through analytics and automation.

Create accessible, brand-consistent web graphics and digital visual assets for campaigns, launches, content updates, websites, and email. Translate complex technology concepts into compelling visual stories while collaborating with UX, UI, Content, Marketing, Product, Development, agencies, and subject matter experts. Manage design requests, optimize and publish assets through content systems, maintain reusable design libraries, participate in sprint workflows, and present design rationale to stakeholders.

Lead the architecture, development, deployment, and monitoring of production-grade machine learning systems for high-definition, ADAS, ISA, and IVI maps. Lead work across computer vision, NLP, deep learning, Generative AI, Agentic AI, MLOps, data ingestion, model training, inference, and scalable cloud or in-vehicle deployment. Provide technical leadership, conduct architecture and code reviews, integrate ML outputs with mapping workflows, and translate business requirements into reliable ML system designs.

Lead design, development, and operation of scalable microservices on AWS using Java/Scala/Python. Own end-to-end feature delivery, produce technical designs, mentor peers, and drive engineering best practices. Collaborate with global stakeholders and use data-driven decisions to recommend architectural changes.