Top Tech Jobs & Startup Jobs

Partners with Sales and customer-facing teams to sell Provenir’s risk-decisioning platform. Conducts discovery, develops tailored demonstrations, leads solution architecture workshops, supports RFPs and technical validation, and advises customers on credit risk and fraud decisioning. Collaborates with Product, Professional Services, Data Science, and Marketing to shape solution strategies, communicate business value, and support successful transitions to implementation.

The Senior PreSales Consultant partners with sales and technical teams to discover customer needs, deliver tailored demonstrations, lead solution and architecture workshops, answer RFPs, and articulate platform value. The role develops decisioning and AI/ML solution strategies, maintains demonstration environments, supports webinars and thought leadership, documents solution requirements, enables internal teams, and feeds customer insights into product roadmaps. Expertise in fraud, financial crime, enterprise software, and financial services is central to the position.

Drive enterprise revenue for Provenir’s Agentic AI Platform, initially expanding within existing clients and then acquiring new-logo customers. Build expertise in fraud and financial crime, lead complex 6–12+ month sales cycles, develop value-based business cases, engage C-level stakeholders, coordinate cross-functional teams, negotiate multi-year agreements, and maintain accurate pipeline forecasting. The role targets regulated financial services organizations and high-value contracts of approximately $1M+ annually.

Drive new enterprise revenue and expand strategic relationships across Southern Africa. Responsibilities include refining go-to-market strategy, prospecting, consultative selling, product demonstrations, proposal development, partner building, contract negotiation, deal closing, CRM management, forecasting, and executive stakeholder engagement. The role focuses on complex, multi-year technology sales to financial institutions and requires managing long enterprise sales cycles.

Generates and qualifies new B2B sales leads in the financial services and fintech sectors. Responsibilities include researching target accounts, identifying decision-makers, conducting needs analyses, personalized prospect outreach, maintaining accurate Salesforce records, nurturing leads, and transitioning qualified opportunities to the sales team. The role collaborates with Marketing on campaigns and events and requires quota-driven prospecting, enterprise account engagement, strong communication, and fluency in Bahasa Malaysia and Mandarin.

Drive new enterprise revenue across the Nordic region by prospecting, qualifying, and closing complex multi-year technology deals. Build direct and partner sales channels, manage strategic accounts, conduct discovery and product demonstrations, prepare proposals, negotiate contracts, and coordinate procurement. Develop executive relationships within financial institutions, maintain CRM data, forecast performance, and collaborate with Customer Success on expansion opportunities.

Designs, develops, and operationalizes large-scale backend, API, graph, AI, and machine learning solutions. Responsibilities include technical leadership, cloud-native architecture, roadmap development, testing, code reviews, mentoring, recruitment, stakeholder communication, and improving engineering processes. The role requires extensive Java and Spring experience, AWS cloud development, RESTful APIs, stream processing, low-latency applications, generative and agentic AI, and strong software delivery practices.

Build and maintain scalable enterprise software, primarily front-end applications within the Angular ecosystem. Design reusable components, integrate APIs and backend services, and support multi-tenancy and high availability. Participate in the full software development lifecycle, including design, testing, deployment, and maintenance. Collaborate with architecture and development teams in an agile environment while contributing to new products and enhancements.

Support Latin American client engagements by building, evaluating, interpreting, and explaining data science solutions for decisioning, risk, fraud, collections, and business automation. Use Python and machine learning libraries to prepare data, develop models, create insights, and provide recommendations. Collaborate with Sales, Product, Technology, and Data Science teams; contribute to workshops, demonstrations, documentation, testing, monitoring, and client delivery. The role is remote from São Paulo, requires Portuguese and English fluency, and may involve occasional travel.

The AI Engineer will design, develop, and deploy machine learning models, work on APIs for AI applications, and manage ML pipelines on AWS. Responsibilities include productionizing AI systems and developing scalable solutions in a cloud-native environment.