Top Tech Jobs & Startup Jobs

Own merchant solutions from technical discovery through production launch. Responsibilities include leading demos, designing payment integration architectures, responding to RFPs and security reviews, guiding developers through APIs and SDKs, troubleshooting payment flows, managing testing and go-live, documenting integrations, and coordinating with Sales, Product, Engineering, and merchant teams.

Own strategic enterprise accounts across North America, serving as a trusted advisor to C-level stakeholders. Develop account strategies, lead renewals and commercial negotiations, drive upselling and cross-selling, forecast revenue, monitor account health and profitability, and resolve complex issues with cross-functional teams. Gather customer feedback for product development, identify growth opportunities, and mentor junior account managers.

Leads technical account management across Latin America, serving as the senior technical contact for strategic customers. Owns complex integration escalations, technical strategy, onboarding standards, account health, and incident management. Leads and mentors TAMs while partnering with Engineering, Product, Sales, Partnerships, and Finance. Provides integration guidance, translates customer insights into roadmap improvements, monitors delivery milestones, and supports account retention and regional growth.

Own strategic European partnerships with acquirers, banks, alternative payment providers, and fraud vendors. Generate qualified pipeline through referrals, co-selling, joint marketing, and account-based campaigns; sell Yuno’s payment orchestration services directly to partners; negotiate commercial agreements and revenue-share models; expand partnerships; manage QBRs and account plans; and collaborate with Sales, Product, Legal, and Finance to convert opportunities into revenue.

Own and grow a portfolio of North American payments partners, including acquirers, banks, alternative payment methods, and fraud solution providers. Manage relationships, negotiate agreements, drive co-selling and joint go-to-market initiatives, generate partner-sourced pipeline, and convert commercial opportunities. Coordinate partner integrations and onboarding with Product, Sales, Customer Success, Legal, and Technical teams. Track partner health and KPIs, provide market intelligence, and lead QBRs, summits, and enablement activities.

Build frontend experiences for AI products, including copilots, agent workflows, conversational interfaces, streaming responses, and review screens. Develop design systems and internal tools, integrate LLM and backend APIs, and ensure performance, accessibility, security, testing, and CI/CD quality. Collaborate with AI, data, backend, and product teams while using AI-assisted development tools to deliver polished, reliable user experiences.

Provides technical support for a global payment platform by monitoring critical workflows, responding to incidents, assisting with API and connectivity issues, analyzing logs, reproducing bugs, and supporting backend teams. The role also standardizes operational processes, improves monitoring and workflows, manages shift handovers, and contributes to basic backend development activities.

Owns the reliability, performance, availability, and scalability of PostgreSQL, MySQL, and MongoDB production systems. Responsibilities include backup and disaster recovery, replication, high availability, deployments, migrations, schema changes, monitoring, performance tuning, security, access control, data governance, documentation, on-call support, and mentoring. The role collaborates with Engineering on scalable data architectures and requires fluent English and Spanish communication across distributed time zones.

Provide first-line technical support and regional NOC coverage for APAC merchants and payment providers. Investigate payment failures, alerts, logs, traces, API responses, webhooks, and provider issues; communicate in Mandarin and English; document incidents; escalate confirmed bugs; advise on configurations; maintain handoffs, runbooks, and macros; and identify recurring issues for operational improvements. The role includes rotating on-call coverage and weekend availability.

Build and scale MLOps infrastructure that moves machine learning models from development to production. Responsibilities include model serving, automated training and deployment, CI/CD, monitoring, drift detection, rollback mechanisms, streaming feature pipelines, and agentic workflow integration. The role requires collaboration with data science, platform, and product teams to deliver reliable, observable, low-latency ML systems.