Top Tech Jobs & Startup Jobs

Manage a portfolio of clients by building relationships, driving onboarding and product adoption, leading success reviews, demonstrating business value, monitoring account health, supporting renewals, and identifying growth opportunities. Collaborate with Sales, Product, Research, Consulting, and Support teams while maintaining accurate customer information and activity in Salesforce.

Leads strategy, governance, adoption, and lifecycle management for internal AI platforms and tooling. Owns AI roadmaps and backlogs, evaluates emerging capabilities, manages FinOps and usage costs, establishes security and responsible-AI controls, and leads testing and quality validation. Develops training, workshops, documentation, and communities of practice while coordinating with engineering, architecture, security, compliance, and business stakeholders to drive effective, measurable AI adoption.

Conduct and manage international market research consulting projects, including project planning, quantitative and qualitative analysis, primary interviews, secondary research, data validation, report development, and client presentations. The role manages analysts, coordinates with regional teams, supports business development, maintains client relationships, and delivers strategic insights for corporate decision-makers across Africa and the MEAI region.

Supports custom research and data consulting projects by sourcing, cleaning, transforming, modeling, validating, documenting, and delivering client-ready datasets and insights. Performs quality checks, applies data methodologies, manages delivery tasks, communicates findings, supports project governance, and collaborates across data, consulting, commercial, product, and delivery teams. The role also contributes to feasibility assessments, process improvements, and responsible use of AI-enabled data approaches.

Extracts, cleans, validates, and analyzes complex structured and unstructured datasets using SQL, Excel, Python, or R. Builds dashboards, visualizations, reports, and presentations with tools such as Power BI and Tableau. Translates analytical findings into actionable insights, supports data governance and ETL activities, documents methodologies, and collaborates with international analyst, research, data, and client-facing teams. The role also uses AI tools and automation to improve research, analysis, and reporting workflows.

Leads Euromonitor’s global Solutions growth engine, owning commercial performance, go-to-market strategy, pipeline, forecasting, strategic accounts, recurring revenue, and new AI-, data-, API-, and technology-enabled offerings. The role builds scalable sales methodologies, develops high-performing teams, expands client lifetime value, and aligns Sales, Consulting, Product, Marketing, Finance, Customer Success, Revenue Operations, and Technology across a global organization.

Manage and optimize sales systems including Gong, Salesforce, and Zuora. Maintain platforms, integrations, data quality, access, compliance, and system performance while troubleshooting issues and supporting business-as-usual operations. Partner with Sales, Marketing, Enablement, and Finance to translate business needs into technical solutions, improve workflows, deliver system projects, train users, and implement preventative fixes across a globally distributed organization.

Drive corporate sales growth across South America by managing mid- to large-sized accounts, developing client-specific strategies, negotiating complex contracts, navigating purchase processes, and achieving sales targets. The role requires stakeholder relationship-building, autonomous decision-making, strong organization, communication, and business development skills. A bachelor’s degree is required, while an MBA is preferred.

Build and maintain automated web-crawling solutions that extract accurate data from websites. Analyze site structures, select effective scraping approaches, optimize crawler performance, troubleshoot collection issues, and uphold data quality standards. Collaborate with researchers, data scientists, industry experts, and technology teams. At the Data Engineer level, assess website feasibility, advise on scraping practices, and independently deliver complex crawling projects.

Own end-to-end delivery of custom data and market research projects, including extraction, cleaning, integration, modeling, validation, visualization, and client-ready recommendations. Partner with commercial, consulting, and data teams to translate requirements into scalable solutions. Establish quality controls, governance standards, reusable assets, and AI-enabled workflows. Coach colleagues, coordinate delivery across regions, and support client retention through reliable, commercially relevant outputs.