Jobs at DataEQ

Manage a portfolio of clients, owning relationships, renewals, upselling, and day-to-day service. Guide clients in using DataEQ’s platforms and data through dashboard builds, insight walkthroughs, training, and reporting. Coordinate with analytics, product, consulting, and finance teams; resolve queries, manage expectations, maintain forecasts and account documentation, and support proposals and payment follow-up. The role requires strong communication, analytical problem-solving, commercial awareness, organization, and client relationship skills.

Own the full enterprise sales cycle for qualified opportunities, from discovery through proposal, negotiation, and close. Manage pipeline and forecasts, lead consultative discovery, present AI, data, analytics, and SaaS solutions, develop proposals and RFP responses, negotiate commercial terms, and achieve new-business revenue targets. Collaborate with Product, Analytics, Consulting, Marketing, and leadership teams to tailor solutions and support handover to delivery and account management.

Manage and grow a portfolio of enterprise clients by driving renewals, upselling, client adoption, and data utilization. Responsibilities include handling client queries, consulting on insights, coordinating reports and dashboards, managing expectations, preparing proposals and forecasts, and overseeing Account Managers. The role also involves stakeholder management, client relationship development, and supporting payment resolution in a fully remote environment.

Generalist software developer building and maintaining full-stack web applications, including analytics, social media engagement, and crowdsourcing platforms. Responsibilities span front-end development with React or Vue.js, back-end services, real-time data processing, data storage, machine learning integration, data visualization, infrastructure, and production delivery. The role requires collaboration, communication, problem-solving, and ownership from idea through production in a remote agile environment.

Develop and maintain machine learning systems that process real-time social media, media, and customer feedback data. Build scalable ML solutions, classification models, data processing services, and storage systems while contributing to Java and Spring Boot backend development. The role also involves testing, code maintenance, LLM prompting, and delivering projects from concept through production in collaboration with cross-functional teams.