Jobs at HERE Technologies

Leads technical product management for engineering services supporting digital map data extraction, processing, merging, and validation. Translates stakeholder needs into technical requirements and acceptance criteria, manages roadmaps, requirement intake, software issues, risks, dependencies, and delivery plans. Partners with engineering leadership and teams to solve complex problems and ensure end-to-end execution.

Develop statistical, experimental design, sampling, analytics, and machine learning solutions to measure and improve HD map and location product quality. Build quality estimators, A/B experiments, data workflows, computing tools, and models while collaborating with map experts, engineers, and data scientists. The role focuses on reliable quality measurement, uncertainty analysis, and data-driven process improvement.

Build and lead production AI/ML components, including embeddings, retrieval, agents, and multimodal systems, for reuse across domain teams. Translate architectural direction into technical specifications and production-ready implementations, make implementation-level decisions, identify scalability issues, and mentor engineers. The role requires deep expertise in representation learning, vector search, retrieval-augmented systems, deep learning, LLMs, agent frameworks, distributed systems, and ML engineering.

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.

Design, develop, and deploy production-grade AI systems using generative AI, LLMs, agentic architectures, retrieval, deep learning, and multimodal models. Build scalable representation and vector-search layers, lead experiments, optimize and evaluate models, and apply responsible AI practices. Collaborate cross-functionally to solve spatial and business challenges, mentor engineers and data scientists, and contribute to patents and publications. The role requires strong Python and ML framework expertise, production MLOps experience, and independent architectural decision-making.

Lead the architecture and delivery of production AI and machine learning platforms, including representation learning, embeddings, vector search, retrieval-augmented generation, foundation models, agentic AI, and multimodal systems. Set technical direction, evaluate emerging technologies, define measurable success criteria, mentor engineers and data scientists, and collaborate with research, engineering, and product teams on scalable, explainable, responsible solutions for spatial and operational challenges.

Leads AI/ML strategy, technical vision, and delivery of scalable machine learning platforms for map editing and maintenance. Drives generative AI, agentic AI, computer vision, LLM, automation, MLOps, governance, observability, security, and responsible AI adoption. Mentors data scientists, leads multidisciplinary initiatives, translates business needs into measurable solutions, and influences executives, customers, vendors, and partners.

Leads the website experience strategy and roadmap for HERE.com and related sites. Owns product prioritization, sprint planning, backlog management, releases, user acceptance testing, CMS architecture, and digital experience optimization. Partners with marketing, technology, infrastructure, UX, content, and development teams to improve engagement, lead generation, platform sign-ups, and website KPIs using analytics, martech, experimentation, and customer insights.

Own and continuously improve the company-wide software error and defect management framework. Govern Jira workflows, templates, fields, dashboards, KPIs, SLAs, and reporting while defining integrations and data mappings with systems such as ServiceNow. Lead defect lifecycle practices, process governance, escalation, and cross-functional alignment across multiple products and teams without direct authority.

Leads advanced data science and machine learning initiatives for global-scale digital map-making. Defines technical direction, develops predictive and statistical models, applies AI technologies, and drives deployment across scalable big data environments. Provides technical leadership for complex projects, collaborates with engineering and architecture teams, explains predictive solutions to executives, and mentors data scientists and engineers.

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.