Top Tech Jobs & Startup Jobs

Own the product vision, roadmap, backlog, prioritization, and release planning for AirAsia’s digital customer platforms. Partner with stakeholders and engineering teams to deliver booking, check-in, chatbot, payments, ancillary, and communications capabilities. Lead Agile teams, define requirements, improve customer experience, analyze markets and competitors, and prioritize high-value initiatives. The role requires product management and software engineering experience, e-commerce expertise, technical understanding of APIs, microservices, cloud platforms, and strong analytical, communication, and leadership skills.

Senior Product Manager responsible for defining product vision, roadmaps, and backlogs for AirAsia customer and merchant support platforms. The role involves prioritizing features, creating requirements, guiding Agile teams, coordinating releases, analyzing users and competitors, and improving digital experience usability. Candidates need strong product management experience, technical understanding of APIs, microservices, cloud platforms, data science, and UI/UX, plus experience with high-traffic e-commerce products.

Six-month Commercial Intern supporting partner onboarding, account management, supplier engagement, supply optimization, commercial strategy, dashboard audits, KPI development, data analysis, and project coordination. The role analyzes supplier availability, pricing, conversion, performance, and regional trends while creating workflows, documentation, reports, meeting materials, and stakeholder updates. Candidates should be analytical, organized, communicative, and interested in e-commerce, supply operations, account management, and partner relationships.

Owns the Atlassian ecosystem, including Jira, Jira Service Management, Confluence, and CMDB administration. Responsibilities include designing workflows and Assets schemas, integrating configuration items through APIs, implementing and migrating projects, providing L2/L3 support, developing automation scripts, managing upgrades and plugins, enforcing governance, and training administrators. The role requires strong ITIL, integration, scripting, database, and Atlassian Cloud/Data Center expertise.

Leads Indonesia business cybersecurity strategy, governance, risk, compliance, incident management, security awareness, and change initiatives. Ensures systems and processes meet ISO 27001, PCI DSS, CIS, NIST CSF, and local regulatory requirements. Manages risk acceptance, remediation, audits, business continuity and disaster recovery activities, vulnerability management coordination, incident reviews, data security, and security KPI reporting. Advises business leaders and technical teams while aligning cybersecurity capabilities with operational objectives.

Support day-to-day advance booking operations by managing job cards, assigning drivers, monitoring bookings, and communicating with drivers and passengers. Maintain and update booking data and reports in Google Sheets, follow SOPs, escalate issues, collaborate with teams, and contribute process improvement ideas.

Own product vision, roadmap, backlog prioritization, requirements, release planning, and Agile delivery for AirAsia customer and merchant support platforms. Partner with stakeholders and engineering teams to improve digital experiences, develop product features, manage sprint and release goals, analyze users and markets, and identify growth opportunities. The role requires product management experience, e-commerce exposure, technical understanding of APIs, microservices, cloud platforms, analytics, and strong leadership and communication skills.

Lead in-country cybersecurity for Philippines AirAsia: align security strategy with business, operationalise GRC and controls (ISO27001/PCI DSS), manage incidents, coordinate audits, drive security adoption, and support BCDR and data protection activities.

Develop and deploy predictive models for pricing, ancillary sales, churn, marketing, and operational efficiency. Design A/B tests, engineer features from clickstream, booking, and sensor data, and productionize models with data engineers. Support MLOps through versioning, monitoring, automated retraining, CI/CD, and containerization. Translate statistical findings into stakeholder insights. Use Python, SQL, cloud ML tools, and frameworks such as Scikit-learn, TensorFlow, or PyTorch.

Develop and optimize data science, machine learning, and operations research models to improve business outcomes. Collaborate with multidisciplinary teams to address revenue, cost, scheduling, and operational challenges. Build and deploy scalable cloud-based algorithms, conduct system testing, document solutions, and apply statistical modeling, mathematical programming, decision intelligence, and user-centered design methods.