Top Tech Jobs & Startup Jobs

Drive growth across non-car marketplace verticals by prospecting, converting, and onboarding new dealers. Identify business opportunities, support client acquisition and retention, use market and customer data to uncover opportunities, monitor competitors, cross-sell value-added products, and collaborate across teams to meet financial goals. The role requires strong sales or business development experience, achievement of KPIs and targets, and excellent relationship-building and presentation skills.

Lead end-to-end data science initiatives involving exploratory analysis, behavioral insights, experimentation, recommendation, ranking, personalization, and machine learning. Develop and productionize models, design offline and online evaluations, measure commercial impact, and establish rigorous modeling and documentation standards. Collaborate with Product, Data, Technology, and Commercial teams to solve complex customer problems and improve vehicle marketplace experiences.

Senior Product Designer responsible for defining and delivering user-centered product experiences across the buyer and seller journey. The role involves presenting design concepts, identifying user problems and product pain points, creating intuitive and accessible interfaces, and collaborating with product strategists, technical leads, developers, and cross-functional teams to manage scope, timelines, and quality.

Drive new business development across industrial equipment markets through outbound prospecting, relationship management, vendor support, sales negotiation, and transaction facilitation. Manage customer pipelines, inbound enquiries, listing strategies, pricing expectations, CRM records, forecasting, and activity KPIs. Build relationships with dealers, contractors, fleet owners, and industrial businesses while collaborating with internal sales teams to maximize lead conversion and successful equipment sales.

Manage relationships with enterprise automotive dealer groups, driving SaaS adoption, engagement, retention, and growth across a portfolio of up to 150 dealers. Use customer data to identify risks and opportunities, deliver reporting and insights, support onboarding and renewals, and identify subscription uplift and advertising opportunities. Partner with account management, sales, and onboarding teams while engaging senior dealer stakeholders in a hybrid, field-based role.

Own the AI product’s vision, strategy, performance, growth, and commercial outcomes. Lead customer and market insight analysis, experimentation, prioritization, opportunity discovery, product delivery, optimization, and cross-functional alignment. Build and scale AI and personalization experiences for millions of users while influencing senior stakeholders, managing dependencies, and partnering with vendors and external teams.

Leads engineering execution for Machines4U, including product development, platform reliability, delivery cadence, technical roadmaps, modernization, integrations, security, and compliance. Manages a distributed engineering team, partners with product and group engineering stakeholders, guides architecture and technical trade-offs, and communicates engineering risks, capacity, and priorities to senior leadership.

Leads engineering execution for Machines4U, including product development, platform reliability, technical roadmaps, team leadership, modernization, integrations, security, and compliance. Partners with product and engineering stakeholders to align technology decisions with commercial outcomes, manage legacy-to-modern migrations, improve engineering practices, and communicate risks, trade-offs, and capacity to senior leadership.

Manage a portfolio of 300 automotive dealer customers, serving as their primary adviser and helping them maximize subscription value. Build relationships, provide strategic guidance, use platform data and performance insights to improve adoption and retention, educate customers on product features, identify growth opportunities, and collaborate with Sales, Advertising, and Onboarding teams to deliver strong customer outcomes.

Analyzes customer behavior and transactional data to generate marketing insights, KPI reporting, visualizations, and actionable recommendations. Extracts data using SQL, collaborates with data and product teams, supports marketing budget decisions through attribution and marketing mix modeling, and evaluates A/B testing and conversion optimization initiatives. The role also involves tag management, stakeholder communication, and translating analytics into business decisions.