Jobs at Pinewood.AI

Owns manual and automation testing for an automotive intelligence platform, including functional, regression, exploratory, integration, browser, device, API, and data validation testing. The role identifies risks and defects, assesses release quality, supports root-cause analysis and fix verification, and collaborates with engineering and product teams in Agile development. It also contributes to shift-left practices, backlog refinement, release testing, and continuous QA improvement in a hybrid Solihull-based environment.

Lead a team of software developers while remaining hands-on with C#/.NET development, architecture, coding, code reviews, and complex problem resolution. Guide technical decisions, mentor engineers, improve engineering standards and CI/CD practices, and deliver scalable, secure, reliable SaaS features. Collaborate with distributed Product and Engineering teams, contribute to system design, and help build a growing U.S. engineering organization.

Develop and enhance enterprise SaaS solutions for an automotive intelligence platform using C#, .NET, SQL Server, Razor, Web API, HTML, and JavaScript. Own the full software development lifecycle, write scalable code, troubleshoot performance issues, contribute to architecture, collaborate in Agile teams, and mentor peers. The role requires extensive Microsoft development experience, Azure expertise, database optimization skills, and strong problem-solving ability.

Provides first-line application support for Pinewood.AI customers, resolving issues, logging interactions in Zendesk, triaging escalations, and maintaining clear customer updates. Tracks service KPIs, contributes to team workload management, develops product knowledge, and escalates critical issues. Requires at least one year of nonscripted support experience, strong communication, customer service skills, problem-solving ability, and familiarity with ticket-driven support tools.

Lead a Cape Town-based software development team while remaining hands-on with coding, architecture, and design across the .NET stack. Guide technical decisions, mentor developers, review code, resolve complex issues, and deliver scalable enterprise SaaS solutions. Collaborate with UK-based Product and Engineering teams, support CI/CD and engineering practices, and contribute to building a high-performing regional engineering culture.

Owns manual and automated QA for an automotive intelligence platform. Responsibilities include designing and executing functional, regression, exploratory, integration, and release testing; validating requirements; identifying risks and defects; retesting fixes; supporting root-cause analysis; and communicating release quality. The role collaborates with engineering and product teams, contributes to Agile ceremonies and QA improvements, and operates in a hybrid model with approximately two to three onsite days per week.

Source, engage, and screen candidates for technology and operational vacancies during a three-month growth period. Build candidate pipelines through LinkedIn Recruiter, Boolean searches, job sites, outbound calls, and targeted messaging. Conduct initial screening calls, maintain accurate records in Workable, capture notes in Metaview, present qualified candidates to Talent Acquisition Specialists, and provide regular pipeline updates while meeting activity and delivery targets.

Own the vision, strategy, roadmap, backlog, and lifecycle of OEM integration products within a SaaS automotive platform. Translate customer, partner, business, and technical requirements into scalable product capabilities, documentation, and delivery priorities. Collaborate with OEMs, customers, architects, engineers, QA, and commercial teams on APIs, data flows, integrations, and product outcomes. Manage risks and dependencies, communicate roadmap progress, and mentor associate product and delivery managers.

Develop and enhance scalable enterprise SaaS solutions across the full .NET stack. Responsibilities include coding, solution design, third-party integrations, database optimization, API development, CI/CD contributions, troubleshooting, testing collaboration, peer reviews, and maintaining secure, high-quality software for automotive retailers and OEMs.

Own the vision, roadmap, backlog, and delivery of accounting functionality for an automotive intelligence platform. Serve as the dealership accounting subject matter expert, translating customer, regulatory, and market needs into software requirements. Collaborate with developers, delivery, support, account management, and commercial teams; define user stories, prioritize features, sign off releases, gather feedback, and communicate product value. The role requires strong automotive dealership accounting knowledge, systems aptitude, commercial judgment, and excellent communication skills.

Hands-on Product Manager for an automotive SaaS platform. Define and deliver product improvements across dealership workflows, lead discovery, prioritise backlog, write user stories, work with engineering and cross-functional teams, mentor junior product/delivery staff, and use data and customer insight to measure impact and shape roadmap.

Hands-on Senior Developer responsible for designing, building, and supporting scalable enterprise SaaS features and integrations for an automotive intelligence platform. Work across the full .NET stack, database design and tuning, front-end development, APIs, and CI/CD while collaborating with Product, QA, and UX to maintain engineering standards and production support.

Provide remote customer support to automotive dealership clients across Thailand and the region. Diagnose and resolve Pinewood.AI system issues, manage support tickets, maintain the knowledge base, escalate complex cases, and share product feedback internally. The role also involves mentoring new team members, occasional onsite support, and rotating weekend or bank holiday coverage.

Lead end-to-end implementations of Pinewood.AI for North American dealership accounting teams, including discovery, configuration, workflow validation, training, go-live, and hypercare. Coach users on dealership financial processes, localize training materials, support change adoption, manage multi-site rollouts, and collaborate with product and delivery teams. The role requires extensive travel across the United States and Canada and involves mentoring colleagues and improving implementation methodologies.

Design, build, and maintain features and integrations across an enterprise SaaS Automotive Intelligence Platform. Work full-stack on the .NET stack, develop third-party integrations, contribute to CI/CD and engineering practices, diagnose complex technical issues, and collaborate with distributed UK and South African teams to deliver scalable, secure solutions.

Lead end-to-end implementations and training of an automotive intelligence platform for dealership accounting. Configure financial workflows, create and localize training, coach best practices, drive adoption, mentor colleagues, and travel extensively to deliver on-site consultancy and hypercare.

Implement, configure, and deliver training on the Pinewood.AI platform for dealership sales and vehicle workflows. Lead implementations from planning to Go Live, provide onsite and remote consultancy, coach users on lead/CRM/opportunity management, vehicle stock/costing/invoicing, ensure adoption, and optimise processes to improve dealership efficiency and profitability.

Lead end-to-end implementations of the Pinewood platform for dealership customers, managing discovery, planning, go-live, training, on-site consultancy, stakeholder communication, project risks, documentation, and team performance to ensure timely, high-quality delivery and adoption.

Implement and configure the Pinewood.AI Accounts module for dealerships, lead implementations, deliver bespoke finance training, support adoption and optimisation, liaise with finance stakeholders, and provide ongoing consultancy onsite and remotely.

Hands-on developer role building and enhancing Pinewood's enterprise SaaS Automotive Intelligence Platform. Design, code, integrate third-party systems, maintain APIs, support CI/CD and cloud deployments, debug performance and data issues, and collaborate across product, QA, and UX to deliver scalable, maintainable solutions.