Top Tech Jobs & Startup Jobs

Manage and grow a portfolio of client accounts, strengthen stakeholder relationships, identify revenue opportunities, resolve escalations, and provide customer insights. The role requires collaboration with Product, Sales, Operations, Analytics, and Marketing teams, along with strong Excel, AI, financial analysis, communication, and presentation skills. Candidates need a bachelor’s degree or equivalent experience and background in consulting, business development, banking, or related fields.

Leads AI opportunity discovery and rapidly builds validated prototypes using traditional machine learning, RAG, agentic workflows, LLMs, or rule-based systems. Partners with business stakeholders to define problems, evaluate accuracy, cost, and latency, and make evidence-based build decisions. Documents validated POCs for handoff to AI platform engineering. The role requires Python, SQL, LLM APIs, prompt engineering, vector databases, orchestration frameworks, evaluation tools, cloud platforms, and strong stakeholder communication.

Prospect financial decision-makers within major-company supply chains, build and manage sales pipelines, conduct consultative outreach, understand client needs, tailor financial solutions, maintain CRM records, meet sales targets, and monitor market and competitor trends.

Drive revenue growth by acquiring new enterprise clients and expanding Dynamic Supplier Finance adoption among existing customers. Own the Americas DSF revenue target, develop pipelines through banking partners, and collaborate with sales, account management, product, marketing, and operations teams. The role requires supply chain finance and trade finance sales expertise, strong negotiation skills, and the ability to structure deals and create sales processes and tools.

Manages financial operations for enterprise client portfolios by optimizing cash and yield strategies, monitoring market performance, analyzing data, preparing reports, and identifying efficiency opportunities. The role collaborates with global cross-functional teams, supports client decision-making, develops business cases, contributes to internal tools and product enhancements, and manages operational risks and process improvements.

Monitor and resolve data quality requests, consolidate and validate large datasets, analyze customer information, and support data governance. Collaborate with data engineering, management, sales, and end users to improve workflows, implement business solutions, and make processes more efficient and scalable. The role also supports technical operations and data profiling while maintaining high standards of accuracy.