Jobs at Partly

Own end-to-end implementation, onboarding, activation, and retention for collision repair shops and multi-shop operators. Install and integrate the platform, train users, troubleshoot technical and workflow issues, support pilots, and provide ongoing customer guidance. Travel regularly to customer sites, gather structured product feedback, create implementation playbooks, and establish customer health, activation, and retention processes for the growing US customer success function.

Own full-cycle recruiting for US roles, partnering with hiring managers to develop sourcing strategies, engage and close exceptional candidates, and deliver structured hiring processes. Build talent pipelines, track recruiting metrics, improve tools and workflows, strengthen employer branding, and represent Partly in talent communities and industry events. Collaborate with the global Talent team to scale recruiting practices and infrastructure during rapid international growth.

Own relationships with US multi-site collision repair operators, leading customer onboarding, training, pilot adoption, issue resolution, and network-wide rollouts. Work directly with estimators, shop managers, parts staff, and regional leaders to drive usage of PartlyRepair AI. Track account health and operational outcomes, communicate customer feedback internally, and use customer data to demonstrate value and support expansion.

Build and operate production software autonomously while working closely with customers, product managers, and design. Investigate repair-industry workflows, shape product direction, design and implement solutions, and deliver trustworthy AI-assisted experiences. Define and measure outcomes, improve customer value and production performance, make pragmatic technical trade-offs, mentor teammates, and create reusable tools and patterns. The role emphasizes end-to-end engineering across user experience, backend services, and data flows.

Enterprise Account Executive responsible for building and closing new business with U.S. multi-site collision and mechanical operators. Duties include mapping the MSO market, managing complex multi-stakeholder enterprise sales cycles, designing customer pilots, negotiating rollouts, maintaining pipeline discipline, and transitioning signed customers to account management. The role requires B2B software, data, or platform sales experience plus knowledge of the U.S. automotive aftermarket or collision industry.

Graduate Solutions Engineer responsible for understanding customer needs, configuring and implementing user-centric solutions, building integrations, and supporting onboarding. The role involves using the Partly PIM and platform, analyzing data with Python, Pandas, and SQL, defining requirements for Engineering, and participating in customer testing and product improvement. Strong communication, structured problem-solving, adaptability, and a STEM degree are required.

As a Product Engineer, you will embed with customers to understand their needs, lead technical discoveries, develop solutions, and manage deployments while ensuring high-quality software integration.

Deploy Partly's platform and AI into new UK and Nordic markets by scoping integrations, building demos/prototypes, running technical readiness assessments, converting data into commercial cases, and coordinating Sales, Product, and Engineering to close pilots.

Own the end-to-end repairer experience across Partlys Repair and Mobile Apps and integrations. Define strategy for progressive AI-driven automation of estimating, procurement, and reconciliation. Drive PLG metrics, onboarding, adoption, integrations quality, dashboards, and auditability. Run rapid prototypes and experiments, partner with engineering and GTM teams, and spend time with repairers to continuously improve product-market fit and outcomes.

Lead Partly's end-to-end US commercial expansion, selling its AI parts infrastructure to insurers, OEMs, suppliers and repair networks. Build and manage a US business development and solutions team, close high-value partnerships, work directly with enterprise customers to shape product requirements, and represent Partly at senior customer levels.

Lead architecture and implementation of mission-critical backend and data systems for a SaaS platform serving millions of parts and vehicle configurations. Own systems end-to-end, set cross-team technical direction, write production code, mentor engineers, and build the platform for serving large AI/ML models with strong emphasis on reliability, performance, and data modeling.