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Partly is building a global platform for replacement parts, seeking candidates to join its team. Benefits include competitive salary, flexible hours, and a supportive environment.

The Solutions Engineer will connect with clients to align industry demands with technical capabilities, analyze data, and develop user-centric solutions using the Partly platform.

Hunt and close UK independent repairer customers for Partly's SaaS parts platform. Manage territory end-to-end: prospect, demo, negotiate, and close; maintain CRM pipeline hygiene; collaborate with RevOps and Onboarding; gather product feedback; travel to customer sites and quarterly hub events.

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.

Serve as a technical, customer-facing engineer: master Partly's PIM, scope and build integrations, implement user-focused solutions, collaborate with engineering on requirements and testing, and drive onboarding and customer success for automotive parts customers.

Work with the Applied ML team to prototype, evaluate, and ship ML and algorithmic solutions for vehicle and parts problems. Contribute to modelling, ranking, retrieval, evaluation datasets, and production-ready systems while learning engineering best practices and collaborating with product and engineering teams.

Design and implement mission-critical features for Partly's core SaaS and API platform. Solve difficult technical problems, deliver world-class software, improve business-facing experiences, and develop deep domain knowledge in automotive parts.

Join the Data Science R&D team to build prediction and data-processing systems for automotive parts. Perform data analysis, modeling (ANNs, graph algorithms, regression, decision trees), feature extraction, visualization, and deploy models using Python and cloud tooling to deliver client impact.

Own and build end-to-end product surfaces for B2B users: prototype rapidly (AI/LLM-assisted), ship production code, instrument metrics, stay close to customers, and evolve experiences toward supervised agentic automation.

Own and build end-to-end product surfaces: prototype with AI/LLM tools, ship production code, engage customers weekly, measure outcomes, and evolve agentic experiences that gradually automate workflows while maintaining user trust.