Sr Engineering Manager

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.

Key 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.

Qualifications

• 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.

Preferred Experience

• 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.

The expected base salary range for this position is $205000 to $240000 per year. Actual compensation will be based on factors such as skills and experience. 

This position is also eligible for a target annual performance bonus which is subject to company and individual performance.

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance retirement savings plans paid time off & leave policies. 

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring HERE will consider for employment qualified applicants with arrest and conviction records.

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race color age gender identity sexual orientation marital status parental status religion sex national origin disability veteran status and other legally protected characteristics.

Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.

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HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change join us. Learn more about us on our YouTube Channel.

What We Do

HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry we also work with leading companies across a wide range of industries including transport and logistics mobility manufacturing and retail and the public sector.

Why Work With Us

At HERE we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity creativity and collaboration and we're always looking for opportunities to grow it further.

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