Total 7,041 Information Technology job vacancies

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Current Office Near Kaki Bukit MRT, Singapore
• Will Relocate Near Tai Seng MRT in August 2026
• Medical & Dental Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Requirements:

1. At least Diploma or Degree in IT related field
2. Minimum 2 Years of experiences as Desktop Support Engineer / Technician, IT Support or MIS role in corporate environment.
3. Short notice is preferable [ Less than a month ]

Job Responsibilities

End User Support & IT Operations

• Provide Level 1 and Level 2 technical support for end users, including troubleshooting hardware, software, network, email, and system-related issues.
• Install, configure, test, and maintain employee workstations, laptops, mobile devices, telephones, printers, projectors, access control devices, and other IT peripherals.
• Maintain IT asset inventory, software licenses, standard desktop images, and conduct regular asset audits.

Microsoft 365 & User Lifecycle Management

• Manage Microsoft 365 environment, including setup, configuration, administration, and ongoing maintenance.
• Support employee onboarding and offboarding activities by coordinating with HR on account creation, access provisioning, equipment preparation, email setup, and account deactivation.
• Manage and maintain corporate email systems, Teams, OneDrive, and other Microsoft collaboration platforms.

SharePoint, Intranet & Collaboration Platforms

• Manage and maintain the company's SharePoint environment, corporate intranet, shared folders, and departmental collaboration sites.
• Support business users in document management, access control, workflow configuration, and collaboration platform enhancements.
• Ensure proper governance, permissions management, and data organization across collaboration platforms.

Network & Infrastructure Administration

• Monitor, maintain, and troubleshoot office network infrastructure, including switches, routers, firewalls, wireless access points, VPN solutions, and server room equipment.
• Perform regular network health checks, identify performance bottlenecks, and ensure network availability, stability, and security.

Vendor Management & IT Procurement

• Liaise with external vendors, service providers, and telecommunications partners (e.g., Singtel) for IT infrastructure, internet connectivity, maintenance services, and project implementations.
• Coordinate procurement, deployment, and lifecycle management of laptops, IT hardware, software licenses,

IT Projects & Office Relocation

• Participate in IT infrastructure projects, system upgrades, and office expansion or relocation initiatives.
• Coordinate relocation of IT equipment, network infrastructure, server room facilities, internet services, and end-user devices.

Systems Administration & Process Improvement

• Maintain the daily operation of business systems, including email, file sharing, collaboration tools, and authentication platforms.
• Develop, review, and maintain IT operational procedures, technical documentation, user guides, and disaster recovery plans.

WeCom Administration & Corporate Applications (Similar like WhatsApp but China Version)

• Serve as the administrator for WeCom and other corporate communication platforms.
• Manage user accounts, organizational structures, permissions, security settings, and platform configurations.

Stakeholder Management & Reporting

• Work closely with HR, Finance, Operations, and business departments to understand IT requirements and deliver suitable technology solutions.
• Monitor system performance, prepare operational reports, and provide recommendations for continuous improvement.

Mandatory Requirements

• 2–5 years of hands-on experience in project management, PMO support, or delivery coordination

• Proven experience managing project reporting, action trackers, RAID logs, and milestone monitoring

• Demonstrated experience preparing governance meeting materials, minutes, and tracking action items to closure

• Advanced proficiency in Microsoft Excel and PowerPoint for status reporting and executive presentations

• Strong cross-functional coordination, follow-up, and professional written communication skills

• Highly detail-oriented, structured, and proactive in driving deliverables and resolving outstanding items

(Note: PMP/PRINCE2 certifications, PowerBI/dashboard experience, and Financial Services industry background are listed as advantageous but not strictly mandatory)

3) Key Responsibilities

• Coordinate day-to-day project activities and track progress against the project plan and key milestones

• Maintain and update core tracking documentation (RAID logs, action trackers, dependency registers, and milestone schedules)

• Consolidate workstream updates into comprehensive project status reports, dashboards, and management presentations

• Proactively identify, escalate, and track key risks, issues, and cross-team dependencies requiring leadership attention

• Coordinate governance forums (e.g., Project Steering Committee), prepare agendas/materials, capture minutes, and ensure timely closure of action items

• Support the PMO lead and project managers in maintaining structured meeting cadences and governance frameworks

• Act as the central coordination point between business, technical, and workstream stakeholders to ensure timely follow-up on deliverables, decisions, and action items

Job Summary

We are seeking an experienced AWS Cloud Network Engineer with strong expertise in Infrastructure as Code (Terraform) and CI/CD automation. The ideal candidate will be responsible for designing, implementing, automating, and optimizing AWS cloud network infrastructure using Terraform-driven deployments. This role requires deep hands-on experience in AWS networking, strong troubleshooting skills, and the ability to enhance and maintain scalable cloud network environments.

Responsibilities

• Design, implement, and manage AWS cloud network infrastructure using Terraform. Create and modify Virtual Private Clouds (VPCs), subnets, route tables, gateways, and related networking components.
• Develop and implement subnet strategies (public, private, and isolated subnets).
• Configure and maintain Load Balancers (ALB/NLB), including listeners and target groups.
• Manage and optimize Security Groups and Network Access Control Lists (NACLs).
• Implement approved network designs using Terraform modules and CI/CD pipelines.
• Develop new Terraform modules and enhance existing ones to improve scalability and reusability.
• Refactor, clean up, and optimize existing Terraform code to eliminate technical debt.
• Enhance automation capabilities for infrastructure provisioning and configuration.
• Support cloud migration activities and ensure smooth transition to new environments.
• Troubleshoot complex AWS networking issues and provide root cause analysis.
• Ensure adherence to security best practices and organizational standards.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Minimum 5 years of experience in AWS Cloud infrastructure with strong focus on networking.
• Extensive hands-on experience with: VPC design and configuration, Subnetting strategies, Route tables and gateways (IGW, NAT), Load Balancers (ALB/NLB), Security Groups and NACLs
• Strong expertise in Terraform: Writing reusable modules, Managing remote state, Code refactoring and optimization
• Experience with CI/CD pipelines for infrastructure deployment.
• Strong troubleshooting and analytical skills.
• Experience supporting cloud migration initiatives.
• Solid understanding of networking fundamentals (CIDR, DNS, routing, firewalls).
• Experience in enterprise-scale AWS environments.
• Familiarity with DevOps practices and Git-based workflows.
• Experience implementing security best practices in cloud environments.

Company Overview / Employee Value Proposition

Sales of Dispensing equipment and machines for the manufacturing, automotive industries. Meter, mix, dispensing equipment (Naka Liquid Control, Japan)

Job Summary

You will independently perform sales and service support functions for dispensing equipment, leveraging your mechanical engineering and manufacturing knowledge to support regional markets and drive business growth.

Responsibilities

• Apply mechanical engineering and manufacturing expertise to deliver effective sales and service support for dispensing equipment
• Utilize knowledge of factory automation, computer/IT systems, and PLC programming to troubleshoot and resolve technical issues, enhancing customer satisfaction
• Communicate clearly and professionally in writing and verbally to engage with clients and internal teams, ensuring alignment and successful outcomes
• Travel independently to support sales and service activities across regional markets, adapting to diverse customer needs and environments
• Manage sales processes and service support functions autonomously to meet business objectives and customer expectations

Job Title: Software Developer

Location: Singapore

We are partnering with a leading fintech company looking to hire an experienced Software Engineer to join their growing team in Singapore.

Responsibilities:

• Design, develop, and maintain a high-performance platform for AI-driven banking solutions.

• Write clean, scalable, and efficient code for cloud-based systems.

• Integrate software components with internal and external systems to ensure seamless functionality.

• Learn and use AI and machine learning to integrate and optimize AI models for real-time processing.

• Ensure AI algorithms are effectively embedded within financial applications.

• Develop and execute unit, integration, and performance tests to ensure software quality.

• Diagnose and resolve technical issues across development, test, and production environments.

• Contribute to the design and architecture of scalable, secure, and high-performance financial systems.

• Participate in code and design reviews, ensuring adherence to industry best practices.

• Work closely with cross-functional teams, including engineers, researchers, and product managers.

Requirements

• Computer Degree holder with 4+ years of hands-on software development experience

• Experience with Java or Python or C, and related frameworks.

• Experience in Fintech, Banking, or Financial Services.

• Familiar with cloud platforms such as AWS, GCP, Azure, or private cloud.

• Strong problem-solving skills, analytical thinking, and attention to detail.

• Excellent communication and teamwork abilities.

• Knowledge in AI, NLP or machine learning frameworks is a big plus.

Sales Executive (Construction)

·        5 Days Workweek

·        Location: Boon Lay

·        Basic Salary + Transport Allowance: S$3,000 – S$4,500

·        Attractive Sales Commission Scheme

KeyResponsibilities

·        Develop and manage sales opportunities for scaffolding systems, aluminium formwork, bridge components, and other construction materials.

·        Establish, develop, and maintain strong relationships with new and existing customers.

·        Prepare and present quotations, tenders, and technical proposals to secure sales opportunities.

·        Negotiate pricing and contract terms to successfully close deals.

·        Provide after-sales support and coordinate with internal departments to ensure timely fulfilment of customer requirements.

·        Analyse sales performance and market trends to identify business opportunities and drive growth.

·        Perform any other ad-hoc duties assigned by Management.

Requirements

·        Knowledge of construction materials will be an advantage.

·        Excellent negotiation, communication, and interpersonal skills.

·        Able to work independently with a strong customer service mindset.

·        At least 1 year of sales experience in the construction industry.

·        Bilingualin English and Mandarin to liaise with English- and Mandarin-speaking customers.

·        Possessing own transportation is preferred to facilitate customer visits and site meetings.

• Perform all roles and responsibilities required of site supervisors under BCA
• Supervise timely execution of the works and maintain quality control and ensure that works are carried out in accordance with the contract specifications, drawings, allocated timeframe, all other contract documents and site instructions
• Check all drawings and specifications to ensure that works are carried out in accordance with approved plans for discrepancies and report to OIC
• check on quality of works, materials and samples delivered to site, take measures to rectify any non-compliance and report to OIC on any materials not conforming to specifications
• prepare defect lists, monitor progress of rectification works and ensure all defects are satisfactorily rectified
• Supervise works to comply with statutory requirements and specifications
• Ensure that structural elements or critical works are being carried out in accordance with approved plans
• Attend site, progress, variation, QAQC and coordination meetings and to keep proper minutes of these meetings
• Help resolve main contractors' queries and coordinate the works with other contractors
• Inspect and assist with handing/taking over of completed works by other contracts
• Ensure that proper and updated records of all works are kept
• Carry out coordination of all building and M&E Services
• Working with the safety team, ensure that safety on site maintains at a maximum level
• Any other adhoc duties

Criteria

• RTO-M&E shall possess a Diploma in Mechanical or Electrical Engineering from a Polytechnic or equivalent;
• Min 5 years of relevant experience as RTO (M&E), of which at least 2 years shall be involved in the supervision of airfield systems, utilities, fuel hydrant, building services, and security systems;
• Shift work, including night shift.
• Have a valid 2026 RTO Certification accredited by IES

#01

Job Responsibilities:

• To manufacture production units to meet performance objectives with minimum supervision
• To perform simple maintenance and calibration of test means or equipment whenever necessary with the support of Test Engineering dept.
• Manage the WIP level
• Accurate reporting of any anomalies encountered during production process. Detect and alert in case of default or results deviations (even if still within the good range)
• To involve in 5S and Kaizen initiatives
• To support administrative works (Raise PR, Document Archiving Process) and production task as per assigned by team lead/supervisor

Job Requirements:

• NITEC/Diploma in Electronics Engineering
• Ability to understand and follow manufacturing/technical instructions
• Ability to operate complex test tools
• Ability to read or interpret test results

Other Information:

• Working Hours: 5 Days, Shift work may be expected
• Working Location: Changi
• 1 Year contract position

Responsibilities:

• Executed applications strategy and technology roadmap, aligning IT with business goals.
• Managed and optimized software systems for seamless integration, scalability, and sustainability.
• Leveraged emerging technologies to drive competitive advantage.
• Translated business requirements into technical specifications and tailored solutions.
• Collaborated with users and vendors, providing training and guidance for smooth adoption.
• Acted as primary contact for third-party application issues and project updates.
• Ensured compliance with organizational standards, ISO27001:2022, and supported after-hours operations.

Qualifications:

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field.
• 10+ years of IT experience, including 5+ years in team leadership and management.
• 3+ years of experience in software system design, development, and maintenance.
• Strong expertise in software engineering, secure development, cloud computing, AI, and cybersecurity.
• Experienced in enterprise systems, digital transformation, emerging technologies, and enterprise applications (Education sector preferred).
• Proficient in databases, programming, server infrastructure, SQL Server, and SDLC processes.
• Skilled in leading IT support teams, prioritizing tasks, and managing multiple incidents concurrently.
• Detail-oriented, self-motivated, and adaptable, with strong communication, interpersonal, and organizational skills.
• Experienced in project management, analytical problem-solving, and maintaining composure under pressure.
• Certified in ITIL, PMP, and Microsoft technologies.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Job Responsibilities:

• Coordinate delivery and transfer of equipment with internal teams to meet operational timelines
• Assist in delivery and setup of machines and parts when required
• Maintain accurate records of equipment movement and tracking
• Perform basic housekeeping and ensure equipment is clean and ready for use
• Unbox, inspect, and set up equipment, including basic system configuration and documentation
• Support installation and ensure machines are operational before deployment
• Perform basic repairs and troubleshoot technical issues
• Respond to breakdowns and provide on-site maintenance support
• Work closely with internal teams to ensure smooth operations
• Perform other duties as assigned

Requirements:

• Diploma or NITEC in Electrical, Electronic, Mechanical Engineering, or related field
• Valid Singapore Class 3 Driving Licence
• Experience in equipment handling, delivery, or basic maintenance is an advantage
• Strong troubleshooting and problem-solving skills

Interested candidates are invited to email your resume to:

jen.ooi@recruitexpress.com.sg
Jenalyn Ooi Huai Sian (R1765551)
Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Location: Bukit Merah area

Job Description:

• Assist the Job Manager to attend to technical and design issues at site and report issues to Job Manager.
• Provide standing supervision as and when directed by the Client and Consultant team.
• Check through construction drawings and highlight any discrepancies found between or within the same / across disciplines prior to the commencement of installation works.
• Ensure all works are carried out in accordance to approve drawings, specifications and contract requirements.
• Ensure all safety requirements and site safety measures are strictly complied with.
• Liaison with consultants, contractors, and relevant stakeholders to resolve all site issues and ensure timely completion of the project.
• Attend site meetings, site inspections, testing and commissioning and handing over inspection.
• Maintain site records.
• Estimated commencement of work in Mid Aug2026.

Requirements:

• Diploma/Degree in Mechanical or Electrical Engineering from a recognised tertiary institution.
• A registered Resident Technical Officer with IES / ACES would be an added advantage.
• Minimum 5 years’ experience as a Resident Technical Officer on local projects.
• Experience in supervision of Mechanical and Electrical Services installation for local Hospital/Healthcare/Institution/Commercial Developments would be added advantage
• Familiar with local codes and regulations
• Ability to respond to technical questions

Please submit your full resume, contact number(s), current & expected salary, copies of educational certificates and date of availability in your application

Job Purpose

The Technical Lead will drive the architectural evolution, technical strategy, and engineering execution of Singapore’s Maritime Digital Twin (MDT). As the platform transitions into a next-generation Maritime Geospatial Reasoning Platform, the incumbent will lead a high-performing technical squad to deliver real-time, high-fidelity data aggregation, predictive layers, and deep-tech AI integration. The role sits at the intersection of cutting-edge technology and national maritime infrastructure, transforming raw industry data into mission-critical operational intelligence.

Key Responsibilities
A. System Architecture & Technical Leadership

• Platform Evolution: Formulate and execute the technical roadmap to scale the MDT data architecture, transitioning from a data aggregation platform to an intelligent, predictive geospatial reasoning platform.

• Data Fusion & Streaming: Design and implement robust architectures capable of ingestion, normalization, and low-latency processing of massive, multi-sensor maritime data streams.

• Technical Governance: Serve as the final technical authority for the platform, ensuring code quality, scalable design patterns, and rigorous system documentation.

B. Advanced Technology & AI Integration

• Predictive Layer Development: Oversee the deployment of advanced AI modules for complex environmental and hydrodynamic simulations

• LLM Workflows: Integrate Multi-modal Large Language Models (LLMs) and automated workflows to assist in decision-support tooling for port operations.

C. Ecosystem Development & API Standardization

• Drive the development of a secure, "Plug-and-Play" common data infrastructure framework and AI Sandbox.

• Design standardized communication protocols (MQTT, AMQP, RESTful APIs) and developer playbooks to allow research partners, institutions, and maritime startups to securely build capabilities on top of the MDT infrastructure.

D. Security, Compliance & Infrastructure

• Oversee infrastructure security and deployment lifecycles by partnering with MPA and government-wide cybersecurity teams to execute robust hardening strategies, including regular penetration testing and vulnerability assessments.

• Manage containerized deployments across hybrid cloud environments utilizing Docker, Kubernetes, and automated CI/CD pipelines to ensure continuous delivery and operational resilience.

E. Stakeholder & Squad Management

• Lead and mentor a group of multi-domain specialised engineers. Collaborate closely with key internal and external ecosystem stakeholders to implement prioritised use cases

JOB REQUIREMENTS

• Background in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a closely related technical field. Background in Geospatial Science or Machine Learning is highly advantageous.

• Software Engineering: Minimum of 8-10 years of experience in technical leadership, systems design architecture, or leading core engineering teams for enterprise-grade distributed systems.

• Data Engineering: Proven track record in building complex data pipelines, multi-sensor data fusion networks, and real-time streaming architectures (e.g., Kafka, Flink, Spark).

• AI/ML Expertise: Strong hands-on experience deploying machine learning models in production environments. Deep familiarity with GeoAI, spatial reasoning tools (GIS, ArcGIS), or PhysicsAI frameworks is highly desirable.

• Protocols & DevOps: Deep proficiency in containerization (Docker, Kubernetes) and standardized messaging protocols (REST, MQTT, WebSockets, AMQP).

• Strategic Agility: Ability to balance immediate technical delivery with the long-term 2031 strategic vision of public-sector infrastructure commercialization.

• Influence & Collaboration: Excellent communication skills to bridge the gap between deep-tech engineering and high-level strategic/regulatory requirements.

• Problem-Solving: Strong entrepreneurial mindset with a knack for navigating ambiguous environments and unblocking critical technical dependencies.

• Experience with Unity or similar real-time 3D development environments is advantageous. Familiarity with concepts such as scene management, asset optimisation, or simulation workflows will help you better support the team and engage meaningfully with technical decisions around the visualisation and modelling components of the platform.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent appointment

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As an Embodied AI Research Engineer, you'll develop the learningsystems that enable robots to understand, reason, and act in the physicalworld. You'll work at the intersection of Vision-Language-Action models,reinforcement learning, and real-world robotics, building end-to-endintelligence that translates perception into robust robot behavior. From modeldesign and training to deployment on physical robots, your work will directlyshape the capabilities of next-generation embodied AI systems operating in realenvironments.

What you'll work on

1.                         Develop and deploy intelligent algorithms for real-world roboticsystems, with a focus on Vision-Language-Action (VLA) models and reinforcementlearning (RL);

2.                          Design and implementend-to-end learning systems from perception to decision-making and control,improving generalization and task success rates in complex real-worldenvironments;

3.                          Lead or contribute to thetraining, evaluation, and deployment of VLA models in robotic applications,including data pipeline design, model architecture, and inference optimization;

4.                          Develop policy learningalgorithms using reinforcement learning (RL), imitation learning (IL), orrelated methods, ensuring stable execution on real robotic platforms;

5.                          Drive Sim-to-Real transfer,addressing challenges such as domain gaps, policy stability, and safety inreal-world deployment;

6.                          Collaborate closely withperception, simulation, and system engineering teams to close the loop betweendata, models, and system performance;

7.                          Build reproducible trainingand evaluation pipelines, and continuously improve robustness, stability, andefficiency in real-world deployments;

8.                          Stay up to date withstate-of-the-art research (e.g., VLA, Embodied AI, Foundation Models) andtranslate advances into practical robotic applications.

Technical Requirements

Must Have

1.                         PhD in Computer Science, Robotics, Artificial Intelligence, or arelated field;

2.                          Strong foundation in machinelearning and deep learning, with deep expertise in reinforcement learning (RL),imitation learning (IL), or related areas;

3.                          Experience inVision-Language-Action (VLA) or Embodied AI research or engineering;

4.                          Proficiency in at least onemajor deep learning framework (e.g., PyTorch or TensorFlow), with strongimplementation skills;

5.                          Familiarity with key roboticslearning challenges, such as policy learning, generalization, and Sim-to-Realtransfer;

6.                          Experience deployingalgorithms on real robotic systems, or a strong interest in bridging researchand production;

7.                          Strong problem decompositionskills and system-level thinking, with the ability to drive algorithmdeployment in complex systems;

8.                          Strong communication andcross-functional collaboration skills.

Nice to Have

1.                         Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR,CVPR, CoRL, RSS);

2.                          Hands-on experience deployingalgorithms on real robotic platforms (e.g., manipulation or navigation);

3.                          Experience training oroptimizing large-scale models (e.g., foundation models or VLA models);

4.                          Experience deployingreinforcement learning in real-world systems (beyond simulation-only work);

5.                          Experience with large-scaledata pipelines, dataset construction, or automated labeling;

6.                          Experience with multimodallearning systems (vision-language-action);

Your Impact

1.                         You'll help define and deploy the intelligence stack behindnext-generation embodied robots, enabling them to perceive, reason, and act incomplex real-world environments.

2.                         Your work will bridge cutting-edge AI research and real-world roboticdeployment, transforming state-of-the-art models into reliable roboticcapabilities.

3.                         You'll advance the practical application of Vision-Language-Actionmodels, reinforcement learning, and foundation models in real robotic systems.

4.                         You'll play a key role in building scalable learning systems thatimprove robot generalization, adaptability, and autonomy across a wide range oftasks and environments.

Why Join Us

Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.

Location

This role is based on-site in Singapore, working closely with theengineering team and robotic systems.

Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.

How to Apply

Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.

We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.

Kuailu Technology provides a one-stop AI-powered intelligent office platform. Built on a low-code foundation and driven by AI agents, it supports key business functions such as HR, finance, procurement, administration, and CRM.

By unifying data across systems, the platform removes information silos and enables seamless business processes. This helps companies improve efficiency, reduce costs, and achieve integrated smart office operations.

Role Overview

We are looking for a Sales Director to develop our business in the local market through partner ecosystem development and direct enterprise sales.

This role focuses primarily on building strategic partnerships with system integrators, IT service providers, and software distributors, while also leading key enterprise opportunities.

Key Responsibilities

1. Team Management & Development

• Build, train, and lead the Southeast Asia sales team.
• Coach team members on the value proposition of AI office software and solution-based selling techniques.
• Identify and resolve bottlenecks in the sales process to improve overall productivity and per capita performance.

2. Revenue Achievement & Client Management

• Develop and execute regional sales strategy, breaking down annual and quarterly targets (new customer acquisition, ARR, renewals, and upsell).
• Ensure the team consistently achieves 100% of assigned quotas.
• Personally manage key accounts across financial services, professional services, and large Hong Kong enterprises; lead negotiations and contract closures.
• Effectively demonstrate the value of AI office software in improving efficiency and reducing costs.
• Maximize customer lifecycle value by driving upgrades of AI modules and user expansion, improving retention rate and Net Dollar Retention (NDR).

3. Sales Process & Cross-functional Collaboration

• Optimize the Southeast Asian sales process and collaborate closely with product, delivery, and customer success teams to ensure seamless conversion from lead generation to customer onboarding.
• Manage the sales pipeline through CRM systems and provide regular forecasts and performance reviews to the Regional Director.
• Gather customer feedback on AI features and work with the product team to enhance real-world application scenarios of AI office solutions.

Requirements

1. Experience & Background

• 5–8 years of B2B SaaS regional sales experience, with at least 2 years in a team management role.
• Prior experience in selling office software, collaboration tools, or AI enterprise solutions is highly preferred.
• Strong understanding of Hong Kong enterprise procurement processes; existing client networks in financial services, professional services, retail, or technology sectors are a plus.
• Proven end-to-end sales experience, from lead generation and solution presentation to RFP/RFQ processes and contract closure.

2. Skills & Competencies

• Results-driven, with a consistent track record of meeting or exceeding sales quotas; experience in building or scaling teams is a strong advantage.
• Fluent in English, and Mandarin, with excellent cross-cultural communication and C-level negotiation skills.
• Strong understanding of SaaS business models (subscription, ARR, renewals) and a data-driven sales management approach.
• Ability to clearly articulate the core value of AI office software solutions.

3. Education & Certifications

• Diploma or above; degrees in Business, Computer Science, or related fields are preferred.
• Relevant certifications in sales or project management are a plus.

Job Overview

We are looking for a detail-oriented Payments Technical Analyst to support payment operations by investigating and resolving transaction discrepancies. The role involves analyzing transaction flows, reviewing backend system logs, performing root cause analysis, and working closely with internal teams to diagnose and resolve payment processing issues.

Responsibilities:

•Analyze backend application logs, transaction records and system-generated events to identify the root cause of payment and settlement issues.

•Perform root cause analysis on transaction issues and recommend corrective actions to prevent recurrence

•Investigate technical issues and support resolution of production incidents impacting payment processing.

•Monitor payment flows, operational dashboards, alerts, and system monitoring tools to identify exceptions, anomalies, and service disruptions.

•Liaise with internal teams (Operations, Technology, Compliance) and external stakeholders (banks, partners) to resolve issues promptly

•Ensure all investigations are completed within defined timelines and in line with service level agreements

•Maintain accurate records of investigations, resolutions, and audit trails

•Support reconciliation processes and ensure alignment between payment systems and records

•Escalate critical issues and risks in a timely manner to relevant stakeholders

•Ensure compliance with regulatory requirements, internal controls, and AML/CFT guidelines

•Participate in process improvement initiatives to enhance efficiency, accuracy, and control

Qualifications:

•Bachelor’s degree or diploma in Computer Science or a related field.

•3–6 years of experience in payments, or settlement investigations, technical operations, production support, systems analysis, or a related function.

•Ability to analyze application logs and troubleshoot transaction processing issues.

•Basic understanding of APIs, system integrations, databases, and transaction processing workflows.

•Familiarity with SQL or database querying for investigation and reconciliation purposes is advantageous.

•Exposure to production support, incident management, or technical troubleshooting environments is preferred.

•Strong communication skills and ability to work with cross-functional teams.

To Apply:

Interested applicants please send your resume in MS Words format to pooja.yadav@ambition.com.sg and attention to Pooja (R1551322)

Short listed candidates will be notified

www.ambition.com.sg

EA Registration Number: R1551322

Data provided is for recruitment purposes only

Business Registration Number: 200611680D.

Licence Number: 10C5117