Top Tech Jobs & Startup Jobs

Lead end-to-end global tradeshows, customer events, and internal conferences from concept through onsite delivery and evaluation. Manage project plans, budgets, risks, vendors, agencies, logistics, stakeholder communication, event production, and KPIs. Coordinate international teams and workstreams, resolve operational challenges, and improve event formats and technologies. The role requires at least five years of event management experience, strong project leadership, production expertise, international collaboration, occasional travel, and flexibility across time zones.

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.

Designs and validates enterprise solutions for strategic customers using HERE APIs, SDKs, platform services, and mapping technologies. Leads technical discovery, architecture design, demonstrations, workshops, evaluations, and proof-of-concept engagements. Partners with Sales, Product, Engineering, Services, and Customer Success teams to address customer requirements, risks, integrations, and implementation readiness. Communicates technical recommendations and tradeoffs to business and technical stakeholders while supporting account planning, competitive evaluations, expansion opportunities, and successful presales-to-implementation handoffs.

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 end-to-end incident management for production web applications in a 24x7, multi-data-center environment. Coordinate major incident response, bridge calls, stakeholder communications, service restoration, SLA compliance, KPI reporting, root cause analysis, and incident trend analysis. Improve Incident, Problem, and Change Management processes while identifying operational risks and promoting service availability and operational excellence across NOC, support, engineering, and business teams.

Design, develop, test, and maintain Java backend services for a large-scale data pipeline management platform. Build REST APIs and microservices supporting orchestration, scheduling, execution, and state management. Participate in technical design, code reviews, automated testing, CI/CD, production troubleshooting, and reliability improvements. Collaborate with engineering, product, and platform teams while developing expertise in distributed systems, cloud technologies, Kubernetes, and data processing platforms.

Lead design and implement agentic AI systems: integrate services and models, optimize and fine-tune LLMs (LoRA/QLoRA), build datasets and evaluations, run experiments to improve reliability, cost, and latency for production workflows.

Leads end-to-end ADAS and autonomous driving professional services engagements across EMEA. Owns solution architecture, delivery quality, customer relationships, technical escalations, presales support, RFIs/RFQs, pilots, and commercial outcomes. Collaborates with product, sales, automotive solutions, and engineering teams to develop scalable solutions, reusable assets, and delivery improvements for OEMs, Tier-1 suppliers, and strategic partners.