TomTom

Engineering Manager

• As Engineering Manager, you are accountable for the outcomes achieved by your teams
• You manage multiple engineering teams directly
• You are a software and technology expert
• Work directly with Management and senior technical experts to simplify complex challenges
• Set guidelines for all developers in our department by aligning with peers, the industry, and tech leads
• Identify growth opportunities, empowering team members to take ownership and coaching them to success
• Define a team topology and staffing plan that sets the team up for success

Engineering Manager – ADAS

QA Engineer

• Design, build, and maintain scalable automated test frameworks using Kotlin and Python to ensure high-quality software.
• Integrate automated tests into CI/CD pipelines (e.g., Bitrise, Jenkins, GitHub Actions) to provide fast feedback loops and maintain deployment velocity.
• Apply deep proficiency in test methodologies, test plan creation, and advanced scripting to solve complex quality assurance challenges.
• Perform Non-Functional Testing (Performance, Reliability) to ensure a premium user experience.

Engineer II – Quality Assurance

Developer Relations

• Help develop and execute a comprehensive developer engagement strategy, building and nurturing a vibrant developer community through targeted initiatives, ongoing programs, and collaborative events.
• Serve as a technical ambassador for TomTom’s products, representing the developer voice externally.
• Build a deep understanding of developer workflows, pain points, and evolving needs.
• Translate developer insights into clear, actionable input for the roadmap.
• Contribute to developer tooling such as SDK extensions, API playgrounds, demos, and interactive examples.
• Create compelling technical content, including documentation, tutorials, demos, and code samples.
• Define and track success metrics for developer engagement and tooling initiatives.
• Collaborate closely with Engineering, Product Management, Marketing, and Sales to ensure tools, content, and programs are aligned, well‑integrated, and impactful.
• Ramp up on TomTom’s platform, domain, and products with strong onboarding and support.

Senior Developer Advocate

• Lead and mentor a team of software engineers, providing guidance, support, and coaching to foster professional growth and development
• Manage the full software development lifecycle, from planning and design through implementation, testing, and deployment
• Work closely with staff, senior and junior engineers to define technical strategies, standards, and best practices
• Collaborate effectively with product managers, software engineers, Engineering Managers and other stakeholders to understand requirements
• Implement processes and tools for ensuring the quality, reliability, integration experience of NavSDK APIs
• Identify risks and dependencies early in the development process and work proactively to mitigate them
• Drive continuous improvement initiatives within the team

Software Engineering Manager I – Navigation

Performance Marketing

• Develop and optimize smart, impactful campaigns across email and mobile notification channels, each with its own creative style — from classic CRM to bold, experimental ideas.
• Create engaging, exciting content that sparks action, boosts engagement, and delivers meaningful moments across a global audience.
• Increase customer lifetime value by shaping and improving the end-to-end customer journey.
• Build intelligent segmentation strategies to deliver the right message, to the right customer, at the right moment, across multiple products and markets.
• Dive into data to uncover insights, understand customer behavior, and drive beautifully personalized experiences.
• Design, launch, and iterate on new and existing campaigns — measuring results, A/B testing relentlessly, and optimizing across all channels.
• Be a true CRM champion, sharing best practices and inspiring creativity within the global CRM team and beyond.
• Constantly scout for new opportunities to innovate, experiment, automate, and surprise our customers in fresh ways.
• Collaborate with a diverse set of stakeholders across cultures and departments — using empathy, clarity, and strong relationship-building to bring people together.
• Own your campaigns end-to-end and adjust processes when needed.

Global Campaign Manager

Program Manager

• Manage post-sales activities and delivery of customer programs for Automotive and enterprise clients in Europe
• Collaborate with internal teams to ensure product delivery meets and exceeds customer expectations
• Accountable for program delivery within budget while addressing complex customer needs
• Establish and nurture strong relationships with customers
• Develop and implement comprehensive project plans, ensuring compliance with budget and quality standards
• Facilitate cross-functional meetings, documenting critical communications
• Champion best practices in risk mitigation, stakeholder alignment, and successful program delivery
• Act as a spokesperson for senior stakeholders

Customer Program Manager

Project Manager

• We are seeking a skilled AI Project Manager to lead the development, implementation, and governance of AI initiatives. In this role, you will oversee AI projects from inception to deployment, drive organizational adoption of AI technologies, and ensure compliance with ethical, legal, and governance standards. The ideal candidate is a strategic thinker with strong leadership skills, capable of bridging technical teams and business stakeholders to deliver impactful AI solutions.

Project Manager – AI

Full-stack Engineer

• Design, implement, and maintain the technical governance framework for all GenAI/LLM tools and integrations.
• Evaluate, approve, onboard, monitor, and retire third-party and open-source AI tools (LLMs, vector databases, agents, orchestration platforms, etc.).
• Build and operate usage monitoring, cost tracking, compliance dashboards, and automated audit trails.
• Create lightweight, developer-friendly processes for tool requests, risk assessments, exceptions, and approvals.
• Partner with Legal, Security, Compliance, Procurement, and Engineering to translate policies into enforceable technical controls.
• Identify and mitigate AI-specific risks: prompt injection, data leakage, model misuse, training-data exposure, etc.
• Develop and deliver training, playbooks, workshops, and documentation that get used.
• Stay ahead of evolving regulations, new attack vectors, and model capabilities.
• Continuously optimize the balance between innovation velocity, risk, cost, and compliance.

Senior Software Engineer – AI

• Own end-to-end operational delivery of projects, ensuring successful realization against customer requirements for content, quality, timeline, and budget.
• Drive projects across the full lifecycle—definition, planning, execution, delivery, and aftercare—using structured project management methodologies and tools.
• Lead day-to-day project execution, ensuring milestones, dependencies, risks,and resources are actively managed and controlled.
• Proactively identify risks, issues, and constraints, define practical mitigation plans, and ensure timely resolution without impacting delivery commitments.
• Organize and facilitate regular project, operational, and stakeholder status meetings, ensuring clarity, alignment, and decision ownership.
• Deliver clear, accurate, and data-driven project reporting to internal stakeholders, senior leadership, and external partners.
• Define,monitor, and continuously improve project KPIs, ensuring performance,quality, and efficiency targets are met.
• Act as a subject-matter expert, driving engineering and tooling priorities based on operational needs and customer impact.
• Ensure compliance of automated and manual workflows, validating quality, process adherence, and governance standards.
• Collaborate closely with cross-functional teams (Engineering, Operations, Quality,Product, Platform) to drive alignment and execution efficiency.
• Manage external suppliers and partners, ensuring contractual deliverables,quality standards, and timelines are met.
• Manage operational and organizational change impacts, ensuring smooth adoption of new processes, tools, or delivery models.
• Take a hands-on approach to close execution gaps where required, especially during critical delivery phases.
• Challenge the status quo, identify inefficiencies, and drive continuous improvement across business and operational processes.
• Apply data analytics and operational insights to support decision-making,root-cause analysis, and process optimization.
• Lead complex problem-solving efforts, taking new perspectives where precedents do not exist.
• Serve as a mentor and escalation point for less experienced project managers and team members.
• Operate independently in a fast-paced, high-pressure environment, demonstrating accountability, ownership, flexibility, and resilience.
• Foster team motivation, engagement, and performance, creating a culture of ownership, quality, and delivery excellence

Software Engineer – AI

Data Engineer

• Contribute to the design, development, and maintenance of data pipelines and workflows, ensuring reliability and consistency across environments.
• Implement data validation, testing, and basic lineage tracking to support data quality initiatives.
• Monitor pipelines and systems, triaging issues, and collaborating with senior engineers to resolve root causes.
• Support performance optimization efforts for data storage, queries, and processing workloads.
• Participate in managing cloud-based environments (e.g., Azure) for data and ML workflows.
• Work with orchestration tools to schedule and maintain recurring jobs.
• Assist in implementing metadata management and access controls.
• Contribute to building dashboards and monitoring tools for data quality, model performance, and system health.
• Collaborate with cross-functional teams to understand data requirements and support internal stakeholders.
• Document processes, pipelines, and best practices to improve team knowledge sharing.
• Work in a flexible, mostly remote environment that supports work-life balance.

ML Engineer – Data Engineering

People Operations

• Be a “Product Owner”: you will lead the design, improvement, and implementation of learning & development programs and talent management initiatives
• Trusted partner: work with leadership on reviewing the company’s structure, aligning its people and organizational setup with the corporate philosophy
• Team player: partner with other learning and development partners to deliver scalable solutions
• Leadership: take a lead in global talent activities for consistent employee learning experience
• Consultant and subject matter expert: take up a consultative role in overarching projects

People Development Partner

• Play an important role in our journey towards becoming a dynamic organization
• Be our subject matter expert on all things talent, providing expertise to our People team and business leaders
• Manage learning programs to support TomTom’s success, like AI-upskilling programs
• Design, create and implement solutions that are loved by our internal customers
• Select external partners and collaborate to offer the best learning experiences
• Manage relationships with our external partners including contract management
• Measure and track the impact of our learning and development initiatives
• Analyze how our TomTom-ers use and appreciate initiatives to draw conclusions
• Contribute to building a learning culture by creating ecosystems and communities
• Incorporate learning in the flow of work
• Create and develop learning content for a range of topics
• Deliver or support on core processes, such as performance management
• Facilitate learning events and manage learning communities
• Manage and monitor our tools such as Learning Experience Platform

People Development Specialist

Platform Engineer

• As a Platform Engineer you will work on addressing reliability, availability, scalability, efficiency for your team’s components and help the rest of the company benefit from them.
• You will manage existing Observability tools and help internal customers master them.
• You will learn by example about the architecture, design, standards, and implementation of new and existing systems to enhance their functionality, reliability, efficiency and scalability with a moderate level of autonomy.
• You will learn to scale systems and increase their reliability in a diverse environment ensuring the mission critical systems meet 99.95% SLOs.
• You will support navigation tooling in the world.

Platform Engineer Internship – Observability Platform

Affiliate Manager

• As a reward “Product Owner”, you will lead the design, improvement, and implementation of compensation and benefit policies and processes in various areas like short- and long-incentive programs, executive compensation benchmarking, and sales compensation programs
• While partnering with (senior) leadership, you will actively participate in the development and implementation of TomTom Global and business unit-specific total rewards strategies, consistent with TomTom’s global Total Reward Approach.
• You will partner with other rewards professionals to work in an agile manner deliver scalable solutions and develop programs for TomTom to attract and retain talent
• You will lead the design, improvement, implementation, harmonization, and integration of local benefits packages and employment conditions.
• You will be the point of contact for benefits matters for assigned functions/regions and countries and provide HR and leadership with professional advice.
• You will take a lead in global and local activities and will ensure a globally consistent and easy employee experience.
• You will take up a consultative role in overarching projects that require reward expertise.