HERE Technologies

Burlington
Total Offices: 2
6,000 Total Employees
Year Founded: 1985

HERE Technologies Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week

U.S. Office Locations

Burlington

5 Wayside Road, Burlington, MA, United States, 01803

Chicago

425 W Randolph Street, Chicago, IL, United States, 60606

2 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
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.
5 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Serves as the technical bridge between customers, Sales, and technology teams. Leads technical discovery, solution architecture, demonstrations, workshops, proofs of concept, and evaluations using HERE data, APIs, mapping, routing, spatial analytics, cloud, AI, and enterprise integration. Partners with Sales to qualify opportunities, reduce technical risk, develop proposals and reusable presales assets, and guide customers toward location-intelligence solutions.
19 Days AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead evaluation and data strategy for advanced AI, vision, and perception systems. Define metrics, build evaluation frameworks, audit artifacts, prioritize fixes, and translate model behavior into product decisions and data-improvement loops to ensure production readiness and downstream usefulness.