TomTom

Backend Engineer

• Work with a global team of engineers to develop high-quality software
• Participate in all phases of the project lifecycle
• Build scalable, highly available and resilient applications
• Design technical solutions to solve complex problems at scale
• Build iteratively using agile methodologies

Software Engineer, Java

People Operations

• Deliver high-quality support across the employee lifecycle, executing HR processes such as onboarding, changes, offboarding, and other lifecycle events with accuracy and efficiency
• Utilize HR systems and tools to process transactions, maintain data integrity, and ensure compliance with relevant policies and procedures
• Act as a first point of contact for HR queries within your domain, solving routine and moderately complex issues using established guidelines
• Continuously build knowledge of HR policies, processes, and tools, contributing to the improvement of operational workflows
• Contribute to the implementation of new HR initiatives and process enhancements to improve the overall employee experience
• Support internal stakeholders by providing accurate HR data and insights and maintain up-to-date documentation in line with company standards
• Assist in the development and rollout of HR-related policies and projects across the team or region
• Guide and support junior team members, including leading onboarding and knowledge-sharing when necessary

People Operations Specialist

ServiceNow

• Design, develop, configure, and maintain solutions on the ServiceNow platform for Compass.
• Build and enhance capabilities across Employee Center, WSD, HAM, HRSD, ITSM, and SAM.
• Develop workflows, business rules, client scripts, UI components, catalog items, integrations, and custom applications.
• Design and maintain integrations using REST, SOAP, and related web technologies.
• Work with HTTP, AJAX, XML, HTML, CSS, and JavaScript to deliver robust integrations and user experiences.
• Collaborate with product owners, process leads, business stakeholders, and technical teams to translate needs into effective ServiceNow solutions.
• Write efficient, scalable, and maintainable code, while helping reduce technical debt.
• Perform testing, deployment support, troubleshooting, and performance optimization.
• Participate in code reviews and contribute to engineering standards and team knowledge sharing.
• Ensure solutions align with ITIL principles, internal controls, security expectations, and governance standards.

ServiceNow Developer

Full-stack Engineer

• Learn all about map-making from the ground up
• Work with a team of engineers to develop high-quality software
• Participate in all phases of the project lifecycle – gathering requirements, designing solutions, building new interfaces, integration, development, and testing code
• Build scalable, highly available and resilient applications by utilizing optimal cloud technologies and programming languages
• Design technical solutions to solve complex technical problems at scale
• Build iteratively using agile methodologies

Software Engineer I

• Define and continuously evolve the strategic direction for the People team
• Own and drive the portfolio of People initiatives and products
• Lead the People team to fall in love with the problem, not the solution
• Partner with senior leadership to embed strategic initiatives across all functions
• Advance data-driven decision-making by sustaining and evolving a robust people analytics infrastructure
• Promote and develop “PowerSkills” within the team
• Leverage technology and automation to scale, personalize, and enhance the impact of People products and services
• Foster a culture of continuous learning and iteration

Manager, People Strategy

Product Manager

• Create a compelling and clear vision, strategy and roadmap for how TomTom maps meaningfully participate in advanced AD systems.
• Seek out and engagement with innovation leaders in the AD system space and craft mutually beneficial technical and commercial partnerships.
• Conduct product discovery, providing insights from business and customer perspectives.
• Work directly with multiple stakeholder teams, translating customer and feature needs into requirements for content, metrics, and processes.
• Support our commercial and customer success teams by engaging directly with strategic customers during all program phases.
• Ensure senior leadership is aligned with product vision, program execution, and customer engagement.
• Consistently and effectively collaborate with engineering teams working on related topics.
• Define clearly researched goals and measurement of success, drawing a clear connection between those metrics and overall product and company strategy.

Product Manager – Autonomous Driving Systems

• Own the product vision and strategy for TomTom's Location Intelligence & Agentic AI business — transforming our world-class spatial data assets into a high-growth, developer-driven platform used far beyond mobility.
• Define and execute a roadmap across Search & Geolocation Services, Self-Service Platform & Portal, Location Analytics, and emerging Agentic AI integrations (MCP, Web SDK, AI agent tooling).
• Expand TomTom's addressable market into verticals such as government, insurance, retail, logistics, and climate — where location intelligence is a core enabler, not an afterthought.
• Own the end-to-end developer and enterprise experience: APIs, SDKs, data products, and the Developer Portal. Your goal is to make TomTom the easiest, most reliable, and most powerful geospatial platform for developers and AI agents to build on.
• Drive product-led growth: improve API adoption, reduce integration friction, expand self-service capabilities, and connect usage directly to ARR.
• Partner closely with the Map & Content Platform (PA1) and Mobility Intelligence (PA2) VPs to leverage shared infrastructure and ensure TomTom's location data is accessible, agent-ready, and competitively positioned.
• Build and lead a world-class product team — setting a high bar for product thinking, customer empathy, and execution velocity.
• Serve as the internal and external voice for this product area: with engineering, commercial, and executive stakeholders, as well as with developers, enterprise customers, and the broader geospatial/AI ecosystem.

VP Product Management

Account Executive

• Sales Strategy Development: Develop and implement a comprehensive sales strategy for the West Coast / Bay Area region that aligns with TomTom’s global objectives, product portfolio and driving revenue growth.
• Market Expansion: Identify and capitalize on new business opportunities, expanding TomTom' footprint within key industry verticals and geographic regions.
• Customer Relationship Management: Cultivate and maintain strong relationships with key customers, partners, and stakeholders, ensuring a deep understanding of customer needs and delivering tailored solutions.
• Collaboration: Work closely with product, marketing, finance, and legal teams to ensure alignment on sales goals, product offerings, pricing strategies, and contract negotiations.
• Revenue and Performance Management: Set ambitious sales targets, monitor performance metrics, and meet or exceeds revenue goals while maintaining profitability.
• Forecasting and Reporting: Provide accurate and timely sales forecasts, reports, and insights to the VP of Sales Mobility Americas, enabling data-driven decision-making.
• Innovation and Best Practices: Stay abreast of industry trends, competitive landscape, and emerging technologies to continually refine sales approaches and maintain a competitive edge

Strategic Account Director

• Develop and enhance frontend components for the map data editing application using JavaScript and modern UI frameworks.
• Translate product requirements and design concepts into functional, user-friendly interfaces.
• Contribute to architectural and design discussions with a focus on frontend scalability and performance.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews, technical discussions, and sprint rituals.
• Support team best practices for frontend development and overall engineering quality.
• Assist in diagnosing and resolving production issues.

Software Engineer II

• Identify, develop and close new GTM partners that support State & Local Agencies.
• Build and maintain account plans for strategic partners and key customers in alignment with the Head of Government Sales, executing on defined success criteria and playbooks.
• Manage existing accounts, identify and pursue new opportunities, and maintain strong relationships with executive‑level and operational decision makers.
• Develop strategic growth plans for key accounts to expand revenue and solution adoption.
• Partner with the Customer Program Management team to support implementations, drive adoption, and ensure upsell and renewal opportunities.
• Maintain accurate CRM updates on deals, opportunities, account activity, and revenue forecasts.
• Manage all internal administrative tasks required to progress opportunities toward closure.

Senior Enterprise Sales Executive – State & Local Government

Customer Success Manager

• Provide End to End technical support for all inquiries via the TomTom Help Center (including bugs, feature requests, support questions, and product inquiries).
• Ensure effective communication and timely problem resolution in line with Service Level Agreements (SLAs) and Service Level Objectives (SLOs).
• Accurately triage and categorize customer issues, escalating to product or engineering teams as needed.
• Maintain up-to-date and synchronized ticket information across customer and internal systems (e.g., ServiceNow, Jira).
• Contribute to the development and maintenance of a comprehensive knowledge base, including FAQs, troubleshooting guides, and best practices.
• Promote and support customer self-service through TomTom’s online portals and dashboards.
• Train and share knowledge with fellow team members and across other TomTom teams.
• Effectively conducts thorough onboarding sessions for new hires and ongoing knowledge sharing and training for fellow team members and cross functionally where required.
• Act as a key stakeholder in defect and change management processes, coordinating with delivery management, product teams, and pre-sales teams.
• Support the onboarding and provisioning of new and existing contracted customers.
• Work closely with Customer Program Managers (CPMs), Account Managers, and Product Units to ensure seamless customer handoffs and issue resolution.
• Participate in postmortems and generate actionable insights from customer feedback to drive continuous product improvement.
• Demonstrates strong communication skills to coordinate with teams and ensure alignment around new products, software releases, and bug fixes.
• Partners with Product Managers and Sales to exchange feedback on processes, customer needs, and product performance.
• Works closely with team managers to identify and address training needs.
• Track and report on key support metrics, including ticket turnaround time, customer satisfaction (CSAT), and self-service utilization rates.
• Actively contribute to operational excellence initiatives including automation and process improvements.
• Identify innovative, out-of-the-box or customer-built (AI) methods for solving complex Tech Support challenges.
• Lead implementation of new solutions to enhance the learning and support experience.

Technical Success Manager II

Program Manager

• Manage post-sales activities and delivery of customer programs for Automotive and Enterprise clients in China.
• Collaborate with internal teams to ensure product delivery meets and exceeds customer expectations.
• Accountable for program delivery within budget while addressing complex customer needs and requirements.
• Establish and nurture strong relationships with customers, working closely with account managers to address escalations.
• Develop and implement comprehensive project plans, ensuring compliance with budget and quality standards.
• Facilitate cross-functional meetings, documenting critical communications and engaging with engineering and product units.
• Champion best practices in risk mitigation, stakeholder alignment, and successful program delivery.
• Act as a spokesperson for senior stakeholders, promoting a culture of collaboration and customer obsession.
• Representing the customer in the TomTom product units, such that the customer’s requirements and needs are getting addressed; following up on projects, operational activities and delivery schedules that are critical to the customer .

Customer Program Manager

• Provide End to End technical support for all inquiries via the TomTom Help Center
• Ensure effective communication and timely problem resolution in line with SLAs and SLOs
• Accurately triage and categorize customer issues, escalating them as needed
• Maintain up-to-date and synchronized ticket information across customer and internal systems
• Contribute to the development and maintenance of a comprehensive knowledge base
• Promote and support customer self-service through online portals
• Act as a key stakeholder in defect and change management processes
• Work closely with Customer Program Managers, Account Managers, and Product Units
• Track and report on key support metrics
• Actively contribute to operational excellence initiatives

Technical Success Manager I

Machine Learning Engineer

• Contribute to the design, development, and maintenance of end‑to‑end ML pipelines.
• Work with image data and computer vision models.
• Build, curate, and maintain ground‑truth catalogs and labeling workflows, ensuring high‑quality datasets for training and evaluation.
• Implement model monitoring, validation checks, and drift/anomaly detection to ensure reliability and consistency across environments.
• Monitor ML systems and pipelines, triaging issues, and collaborating with senior engineers and data scientists to identify and resolve root causes.
• Support performance optimization for both training and inference pipelines, including GPU utilization and batch/image processing workloads.
• Participate in managing cloud‑based ML environments (Azure ML, Databricks, or similar platforms), ensuring reproducibility and scalability.
• Use orchestration tools to schedule and maintain recurring ML workflows, such as model retraining, batch inference, or feature refresh processes.
• Assist in building and maintaining metadata tracking, feature stores, and access controls for ML assets.
• Contribute to dashboards and internal tools for data quality, model performance monitoring, and system observability.
• Collaborate to understand requirements and support ML and CV initiatives within the organization.
• Document pipelines, processes, and ML best practices to improve team knowledge sharing and onboarding.