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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.

Lead and close foundational enterprise partnerships (insurers, fleets, OEMs, MSOs) to drive high-volume job demand onto Partly's AI platform. Structure and validate novel, scalable commercial agreements, collaborate closely with Product and Expansion, build regional expansion capability, and transition repeatable motions to the CRO once proven.

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.

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.

Work with Applied ML and DataQA on messy, real-world parts and vehicle data. Use SQL and Python to quantify data-quality issues, measure failure rates, decompose problems, produce reproducible analyses, and build lightweight tools or dashboards to inform Product and ML priorities. Paired with mentors, deliver actionable findings that improve parts validation, ordering, automatching, and variant handling.