Jobs at Trimble

Lead enterprise AEC sales across France: grow market share, manage and coach Enterprise Account Managers, build C-level relationships, negotiate complex deals, and align go-to-market with product and marketing to drive revenue for large construction clients.

Drive sales of Trimble’s construction software by delivering technical demonstrations, consulting with prospective buyers, identifying business needs, and aligning AutoBid and VDC solutions to customer workflows. The role supports sales partners, collaborates with product and marketing teams, and requires expertise in MEP trades, estimating, construction methods, and software solutions. This remote U.S. position includes 10–25% travel and focuses on North American AECO customers.

Build and operate a cloud-based data platform on GCP, including Terraform-managed infrastructure, CI/CD pipelines, batch and streaming data workflows, multi-cloud migration, governance guardrails, observability, operational documentation, and cost controls. The role combines cloud platform engineering, data engineering, software development, and AI-assisted automation while supporting resilient, auditable production services.

Develop automated SIL/HIL testing for positioning and controls systems used in autonomous agricultural machinery. Responsibilities include configuring HIL testbenches, writing Python and MATLAB test scripts, analyzing sensor and positioning data, supporting field data collection, and collaborating with hardware, embedded software, and systems teams on validation requirements.

Manage complex software implementation projects for construction-industry clients from initiation through completion. Responsibilities include defining implementation methodologies, analyzing business requirements, coordinating cross-functional and client resources, managing schedules and budgets, guiding change management, mitigating risks, forecasting, and maintaining stakeholder relationships. The role requires managing multiple projects and remote matrixed teams while delivering client business outcomes.

Provides onsite desktop and IT service desk support for end users, including hardware and software deployment, troubleshooting, ticket lifecycle management, asset tracking, documentation, and process improvement. Supports Windows, macOS, Linux, mobile devices, printers, and conference room equipment. The role also coordinates tickets, participates in IT projects, mentors help desk staff, manages suppliers, and uses scripting and automation to improve operational efficiency.

Provides technical support for mobile mapping and positioning products, assisting customers, sales teams, and product managers with installations, troubleshooting, product performance, training, demonstrations, and field operations. Documents solutions, supports product trials and releases, recommends enhancements, and maintains customer records. Requires geomatics-related education, mobile mapping or photogrammetry experience, strong analytical and communication skills, customer service ability, and willingness to travel occasionally.

The IAM Product Manager will lead the vision and execution of secure access solutions, bridge technical innovation, and ensure compliance with data governance standards.

Drive revenue for marine products across EMEA and APAC by managing indirect channel partners, supporting strategic end-user sales, handling complex tenders, and aligning regional execution with global strategy. Responsibilities include partner onboarding and development, government sales, contract processes, industry event representation, and collaboration with global business leadership. The role requires substantial travel across EMEA, APAC, and occasionally North America.

Build and scale governed data products, pipelines, analytical models, semantic layers, APIs, and AI-enabled interfaces. Establish standards for data modeling, orchestration, testing, observability, CI/CD, security, and lifecycle management. Partner with stakeholders to define data contracts and product roadmaps, deliver solutions end to end, improve analytics governance, and mentor colleagues. The role requires strong data and analytics engineering expertise, product judgment, and practical experience directing AI coding agents.

Build and oversee agentic AI-powered software development workflows, including agent orchestration, prompt libraries, evaluation datasets, architecture, frontend and backend features, cloud infrastructure, authentication, and automated testing. Ensure secure, scalable, maintainable implementations while supervising AI-generated code, enforcing quality standards, documenting architectural decisions, and aligning engineering outcomes with business KPIs.

Lead an AI engineering pod as a hands-on technical and people manager. Build shared infrastructure, CI/CD pipelines, evaluation tooling, and data standards; oversee architecture, security, quality, and productionization of AI-generated solutions. Direct agentic AI adoption across the product development lifecycle, manage hiring and performance, guide prioritization, and partner with product, security, legal, and analytics teams. The role requires enterprise architecture expertise, BIM and construction software knowledge, .NET/C# development, modern front-end frameworks, SQL, APIs, ETL, and ethical AI practices.

Lead the security architecture for GNSS receivers: design secure workflows, identify and remediate vulnerabilities, define cross-platform software architectures, and align security requirements across engineering, cloud, and product teams.

Manage and expand a mid-market MEP contractor account portfolio across Western Canada. Drive recurring SaaS revenue, identify subscription opportunities, negotiate contracts, develop territory and account plans, achieve quota, and collaborate with solutions, customer success, support, marketing, and product teams. The role requires consultative selling, account management, SaaS experience, and travel of up to 50%.

Conduct hardware validation in a laboratory environment, including vibration and environmental stress testing. Configure complex test setups, custom harnesses, load boxes, and lab infrastructure. Diagnose and repair electro-mechanical systems using electronic test equipment, execute DVP&Rs, document results accurately, manage Jira workflows, and coordinate validation activities with cross-functional teams.

Leads quality assurance and test execution for AI components in construction software. Develops automated testing tools, frameworks, workflows, and pipelines; evaluates AI agents and embedded models; identifies bias and risks; and promotes modern AI testing practices. Requires software test automation experience with Python, C#, or Java, familiarity with LLMs, NLP, machine learning, MCP environments, and agentic AI workflows. The onsite role involves minimal travel.

Develops and supports TMWSuite integrations for transportation and fleet systems. Responsibilities include troubleshooting enterprise applications, maintaining pre- and post-process scripts, analyzing SQL and relational databases, performing root-cause analysis, ensuring data integrity, and identifying opportunities for AI and automation. The role is fully remote with minimal travel and involves collaboration across engineering, product, and support teams.

Lead end-to-end product design for an AI-powered construction contract intelligence platform. Responsibilities include user research, responsive web and mobile design, prototyping, usability testing, accessibility compliance, design system evolution, and collaboration with Product, Engineering, and AI teams. The role emphasizes data-informed, inclusive experiences and direct product implementation using modern design and AI-assisted tools.

Designs B2B product experiences for an AI-powered construction contract intelligence platform. Responsibilities include owning designs from concept to launch, leading user discovery and validation, simplifying complex workflows, collaborating with engineering and product teams, improving the design system, and applying AI interaction patterns to real-world industry problems.

Lead pod-wide quality strategy and global QA teams while personally developing test automation. Evaluate AI-driven testing tools and methodologies for LLM, computer vision, speech recognition, and AI agents. Oversee regression testing, release management, cloud and virtualization test environments, quality metrics, coverage analysis, and production incident root-cause analysis. Coach cross-functional engineering teams and communicate technical risks to improve software reliability.