Sr Engineering Manager

HERE Technologies•Chicago, IL

8d•$205,000 - $240,000

About The Position

The Mapmaking team sits at the heart of HERE’s mission to create the world’s most accurate, up-to-date, and intelligent maps. We design and operate scalable pipelines for onboarding massive datasets from customers and partners, while developing and optimizing geospatial processing services that transform raw map inputs into high-quality, production-ready products. Our work spans innovation in AI, big data, and algorithmic evolution to advance how maps are processed, validated, and enriched, supporting both large-scale customer programs with premium automotive brands and multi-industry partners, as well as internal transformation initiatives. The Mapmaking team builds and operates core technologies and services for onboarding, processing, and quality assuring digital map data. We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying AI and machine learning to the automated creation and improvement of HD and SD maps. This role is responsible for developing processes, platforms, and algorithms that extract structured map data from diverse sensor sources including satellite imagery, street-level imagery, radar, vehicle perception data, and LiDAR. The leader will drive the development and application of foundational models and scalable data pipelines that improve map quality, expand coverage, and reduce manual production effort.

Requirements

10+ years of software engineering experience, including significant experience leading engineering teams.
Proven experience managing multiple teams or large engineering organizations.
Strong background in machine learning, computer vision, or geospatial AI systems.
Experience building large-scale data processing pipelines for multimodal sensor data.
Familiarity with technologies related to perception systems, remote sensing, or geospatial data processing.
Experience deploying ML models into production environments and operating them at scale.
Strong leadership, communication, and cross-functional collaboration skills.

Nice To Haves

Experience working with geospatial data, HD mapping, or autonomous driving datasets.
Familiarity with LiDAR processing, satellite imagery analysis, and computer vision techniques.
Experience with large-scale distributed systems and cloud-based ML infrastructure.
Background in developing or applying foundation models for perception or geospatial understanding.

Responsibilities

Lead and grow multiple engineering teams responsible for AI/ML-driven map feature extraction and derivation automation.
Define and execute technical strategy for applying machine learning and foundational models to map generation from multimodal sensor data.
Drive the development of scalable pipelines that convert raw sensor inputs (imagery, LiDAR, radar, vehicle perception data) into structured map features.
Partner with data science, platform, and product teams to operationalize machine learning models in large-scale production systems.
Establish engineering practices that improve reliability, throughput, and quality of automated map generation systems.
Prioritize and deliver initiatives that increase automation, improve map accuracy, and accelerate global map coverage.
Provide technical leadership and mentorship for engineering managers and senior engineers.
Align cross-team efforts across data ingestion, model training, model deployment, and validation pipelines.
Use data-driven metrics to measure improvements in model performance, automation levels, and map quality.