Top Tech Jobs & Startup Jobs

Manage and grow healthcare customer accounts across the Middle East. Responsibilities include relationship management, identifying upsell and cross-sell opportunities, managing the sales lifecycle, supporting customer adoption, coordinating with internal technical teams, monitoring revenue and renewals, and maintaining pipeline forecasts. The role requires healthcare technology familiarity, commercial communication skills, AI market awareness, and regional travel.

Build and support internal AI applications, prototypes, and platforms using NLP, document intelligence, automation, and agentic solutions. Integrate AI components into enterprise systems, develop dashboards and web interfaces, document code and models, and collaborate with senior engineers and stakeholders. The role provides mentorship and hands-on experience with enterprise AI, data platforms, and healthcare-related use cases.

Provides bilingual English/Spanish administrative support in an onsite office environment. Responsibilities include calendar and meeting coordination, document preparation and translation, domestic and international travel bookings, office supply inventory, reception coverage, housekeeping oversight, and ad hoc projects. The role requires strong organization, communication, prioritization, attention to detail, and proficiency with Microsoft Office.

Lead global strategy and operations for a cloud-native Service Delivery Platform, ensuring secure, scalable, and reliable service delivery across multiple cloud environments.

Supports Southeast Asia sales operations by managing bids, tenders, proposals, pricing, contracts, payments, CRM data, approvals, and partner or customer communications. Coordinates cross-functional bid teams, identifies process bottlenecks, maintains accurate documentation, provides CRM support, and drives continuous improvement. The role also contributes to business insights, sales effectiveness, and streamlined commercial processes.

Rotational early-career Quality Engineers develop and maintain automated tests, CI pipelines, and validation strategies for complex distributed software systems. Participants rotate across product teams, investigate bugs and regressions, perform performance and security testing, and apply debugging and system-level analysis. The program includes onboarding, mentorship, and potential transition into a permanent role focused on test automation, performance engineering, or security testing.

Early-career software engineers rotate across two InterSystems product teams after onboarding, contributing to front-end, back-end, or full-stack projects. Responsibilities include learning technologies and development practices, working on real codebases, collaborating cross-functionally, and applying software engineering fundamentals. Participants receive mentorship and may transition into a long-term software development role based on performance, interests, fit, and business needs.

Leads the Managed Services analytics roadmap, KPI governance, Power BI dashboard strategy, reporting automation, and AI-augmented metrics services on InterSystems IRIS. Provides technical leadership in SQL, ObjectScript, APIs, data models, interoperability, query optimization, and application performance. Establishes data-quality and reporting standards, develops predictive analytics, mentors analysts and engineers, investigates complex issues, and advises senior leadership on operational performance, risks, and investment priorities.

Develop and support cloud-hosted continuous integration systems, automated build and test environments, and testing tools for healthcare software. Design end-to-end, deployment, performance, security, and interoperability testing strategies; manage cloud and local infrastructure; support agile development teams; identify application issues; and create reliable, reusable automation frameworks.

Own the design, governance, and evolution of the enterprise data lake and warehouse. Responsibilities include developing conceptual, logical, and physical data models; defining source-to-target mappings; reconciling legacy CRM and operational data; establishing data quality frameworks; administering schemas, views, access controls, and performance; and partnering with engineering and business stakeholders to support scalable, self-service analytics.