Top Tech Jobs & Startup Jobs

Leads technical product management for AI-powered consulting and productivity solutions. Translates business needs into technical requirements, prioritized backlogs, delivery plans, and scalable product roadmaps. Partners with engineering, AI, data, security, governance, compliance, sourcing, vendors, and consulting teams to integrate LLMs, agent frameworks, workflow engines, and knowledge bases. Facilitates requirements reviews, supports implementation, mentors team members, and drives AI adoption across the organization.

Leads global communications strategy for Mastercard’s Commercial and New Payment Flows business. Responsibilities include executive profiling, internal and external communications, media relations, digital and social activation, storytelling, events, product launch messaging, regional coordination, stakeholder advising, and communications measurement. The role builds relationships with financial services, payments, technology media, influencers, and analysts while strengthening Mastercard’s reputation and supporting senior leadership.

Designs and delivers internet infrastructure architectures for applications, platforms, and systems. Collaborates with stakeholders to define requirements, produces technical architecture documents and logical models, resolves global infrastructure performance and availability issues, evaluates emerging technologies, and supports implementation. Responsibilities include capacity planning, performance tuning, configuration management, failover and disaster recovery design, routing, firewall and load balancer configuration, production monitoring, and regional project leadership.

Leads Mastercard Services’ global customer onboarding transformation agenda, including operating model design, process re-engineering, platform adoption, automation, analytics, governance, and performance management. Partners with Sales, Compliance, Product, Technology, Finance, Risk, and Operations to improve onboarding speed, scalability, data quality, compliance, and customer experience. Builds and develops a high-performing team while managing complex cross-functional programs and influencing senior executives.

Develop and deploy production machine learning solutions, including predictive models, forecasting, recommendations, propensity modeling, and customer intelligence. Define experimentation methods, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and measure business impact. Collaborate with product, engineering, analytics, and business teams from problem definition through deployment. Establish modeling best practices, communicate technical insights, and mentor junior data scientists.

Designs and delivers internet infrastructure solutions for applications, platforms, and systems. Collaborates with application teams and stakeholders to define requirements, produces technical architecture documents and logical models, resolves infrastructure availability and performance issues, evaluates new technologies, and leads regional projects. Responsibilities include infrastructure implementation, support, performance tuning, capacity planning, configuration management, monitoring, failover strategy, routing, and maintaining system stability and security.

Design and build a scalable AI platform supporting consulting productivity, commercialization, agent orchestration, knowledgebases, and reusable AI capabilities. Lead architecture, migration, security, performance, and implementation while partnering with product, business, data, enterprise AI, governance, and engineering teams. Evaluate emerging technologies, guide solutions through incubation and scale, identify reusable architectural patterns, and mentor engineers and architects. The role requires hands-on distributed-systems expertise, enterprise GenAI experience, strong technical judgment, and executive communication skills.

Develop and deploy production machine learning solutions for forecasting, recommendation, propensity modeling, fraud detection, risk modeling, and customer analytics. Define experiments and evaluation frameworks, apply foundation-model embeddings, measure business impact, and partner with product, engineering, analytics, and business teams. The role also contributes reusable modeling standards and mentors junior data scientists.

Supports the roadmap and lifecycle management of Mastercard’s emerging data, analytics, and AI/ML products. Partners with engineering, data science, design, CX, regional, sales, and marketing teams to execute roadmaps, make technical tradeoffs, ensure product readiness, develop enablement materials, train stakeholders, and support customer conversations. Helps establish product management disciplines and scale B2B solutions globally.

Design and build a scalable AI platform supporting productivity, commercialization, agent orchestration, knowledgebases, and reusable AI capabilities across Mastercard Consulting. Lead architecture, migration, implementation, security, reliability, and scalability efforts while partnering with product, data, business, sourcing, and enterprise teams. Evaluate emerging technologies, guide opportunity development, establish engineering standards, and mentor engineers and architects.