Account Executive

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality) 

Process Engineering Manager

Senior Software Engineer AI

Software Engineer AI

QC Officer

Data & ML Architect

Stock Keeper + In-Store Visual Merchandiser

&nbsp;Reponsibilities: <ul><li>Drive HVAC/HVACR sales growth by managing key customer accounts, developing new business opportunities, and maintaining strong relationships with contractors, distributors, and end users across the Philippines market.</li><li>Promote our client cooling and refrigeration solutions through customer engagement, solution selling, project coordination, and regular site/client visits to build a strong sales pipeline.</li><li>Collaborate with internal teams to support quotations, project follow-ups, and customer requirements while achieving sales targets and business objectives.</li></ul> Requirements: <ul><li>Minimum 10 years of sales experience.</li><li>At least 3-5 years of experience in HVACR industry.</li><li>Candidate should have strong exposure to HVACR sales and customer management.</li></ul>

Responsibilities: People Management and Development: <ul><li>Allocate and balance work across direct reports.</li><li>Review and provide timely performance feedback to direct reports.</li><li>Mentor, develop and motivate them.</li><li>Resolve people issues in the team in order to achieve targeted department performance and enhance staffs capability and working passion.</li></ul> Toolroom Production Management <ul><li>Develop toolroom production plan.</li><li>Allocate manpower based on toolroom production plan.</li><li>Monitor toolroom production plan execution and product quality.</li><li>Monitor 5S, ISO9000, , security discipline execution.</li><li>Check and monitor production report in order to ensure toolroom production operation run smoothly and improve product quality, production efficiency, on time delivery and reduce product scrap rate.</li></ul> Continuous Improvement: <ul><li>Improve toolroom related processes.</li><li>Review staff reasonable suggestion and customer complain and push improvement action plan implementation.</li><li>Evaluate and introduce new equipment, technology and materials in order to improve toolroom production operation efficiency.</li></ul> Requirements: <ul><li>Diploma/Degree in Mechanical Engineering or equivalent.&nbsp;</li><li>3 years toolroom related work experience.</li></ul>

Responsibilities: <ul><li>Responsible for various KPI’s pertaining manufacturing engineering and Team Management skills is must.</li><li>Responsible for assembly Process, Tool Design development, (New &amp; Old tools) Qualification and Trial</li><li>Improves manufacturing efficiency by analyzing planning workflow, space requirements, and equipment layout</li><li>Work with Global COE Assembly to drive continuous improvement in Assembly Technology / Process</li><li>Maintain proper documentation and for all assembly tooling, Spares and Process Set-up&nbsp;</li><li>Ensure all Tooling / automation design drawings (Soft &amp; Hard Copy) are up to date.</li><li>Impart trainings and development for new joiners, Technical Trainees etc.</li><li>Coordinate with Manufacturing Engineer for new product development and process improvement.</li><li>Assessing resource requirements and opportunity for Automation and Process Productivity improvement</li><li>Review of deployment</li><li>Review ISO documents and update, Engage in ISO audits.</li><li>Visit vendors for Assembly tooling assessment (Capability, Know How &amp; Capacity)</li><li>Monitoring of AM and PM and Effectiveness&nbsp;</li><li>Able to run the machine and instruct and train technicians to run the machine</li><li>CCD and PLC and Electrical Knowledge Preferably</li></ul> Requirements: <ul><li>Bachelor in Mechanical Engineering major or Electrical Engineering</li><li>10+ years’ experience and practitioner in the automation assembly and Tooling Design &amp; Development</li><li>CAD Knowledge Must, preferably Pro E / Creo &amp; Auto-cad, Solidworks, HMI (Human Machine interface).</li><li>DFM analysis, New automation or manual assembly / Tooling RFQ.</li><li>Assembly line Tooling &amp; Tool Debugging Knowledge.&nbsp;</li><li>Computer Knowledge, MS Office etc, SAP knowledge added advantage</li><li>Integrity; Accountability; Communication; Outgoing&nbsp;</li><li>Ergonomic and lean manufacturing practitioner</li><li>Advance digital acumen, MES (Manufacturing Execution System) and traceability.</li></ul>

Responsibilities: Customer Quality &amp; Technical Ownership: <ul><li>Act as the primary technical experts working closely with GQM, KQM, FSE, and internal stakeholders.</li><li>Lead customer complaint investigations, including root cause analysis using structured methodologies (e.g. 5 Whys, Fishbone, 8D), and ensure effective corrective and preventive actions (CAPA).</li><li>Ensure high-quality failure analysis (FA) reports supported by strong technical justification; challenge and close invalid or non-reproducible cases with data-driven rationale.</li><li>Drive fast response, structured escalation, and effective containment actions to improve response time and customer confidence.</li><li>Clearly translate customer complaints into technical, reliability, and risk-based problem statements.</li><li>Review customer quality documentation, including FAI, First Lot Approval, control plans, and inspection reports.</li><li>Ensure out-of-control situations are managed effectively through well-defined OCAPs, including timely containment and recovery actions.</li><li>Maintain high standards for 8D reports and monitor closure turnaround time to meet customer expectations.</li><li>Support regular customer quality reviews and maintain strong working relationships with key customer contacts.</li><li>Initiate internal technical quality improvement initiatives based on customer feedback, field failure data, and risk analysis.</li><li>Strengthen decision-making by identifying the most pragmatic solutions through cross-functional analysis of design, process, and supplier factors.</li></ul> Engineering &amp; Product Quality Assurance: <ul><li>Maintain strong product knowledge covering design intent, materials, machining, assembly, and related manufacturing processes.</li><li>Act as technical authority during escalations, challenging design or process decisions based on field data, reliability risk, and customer impact.</li><li>Support failure analysis and laboratory activities; convert findings into concrete design, process, or control improvements.</li><li>Serve as the link between field failures and design robustness, ensuring lessons learned are embedded into future products and updates.</li></ul> New Product Introduction &amp; Change Management: <ul><li>Participate in NPI and engineering change control processes to ensure customer quality, CTQ, and Copy Exact compliance.</li><li>Ensure customized or newly developed products fully meet customer specifications, quality standards, and regulatory requirements.</li><li>Provide engineering inputs for design reviews, DFMEA/DFMA, and quality guidelines from a customer and field reliability perspective.</li></ul> Culture &amp; Way of Working: <ul><li>Embody and promote company values: Integrity, Teamwork, Customer Centricity, and Innovation.</li><li>Foster a preventive mindset and risk-based thinking across engineering and quality activities.</li><li>Engage cross-functional teams with a clear focus on long-term product excellence and customer success.</li></ul> Requirements: <ul><li>Bachelor’s degree in mechanical, Mechatronics, Manufacturing Engineering, or related field.</li><li>5–10+ years’ experience in customer quality, product engineering, or industrialization within high-mix, precision manufacturing (semiconductor equipment preferred).</li><li>Strong ability to read and interpret drawings, GD&amp;T, simulations, specifications, and tolerance concepts.</li><li>Hands-on experience with 8D, 5 Whys, Ishikawa, DFMEA/PFMEA, DFMA, SPC, MSA, DOE.</li><li>Strong analytical, system-level, and reliability-focused thinking.</li><li>Ability to challenge technical decisions fact-based and constructively.</li><li>Strong communication skills in English, including customer-facing and executive-level discussions.</li><li>Strong command of English for global-level communication. Proficiency in Mandarin Chinese (for Chinese customer interaction) and Malay (for shop-floor communication) is highly advantageous.</li></ul>

Responsibilities: <ul><li>Own and lead the process engineering function for cleanroom assembly, end-of-line test and pre-packing, ensuring safe, compliant and capable processes that meet cost, quality, safety and delivery targets.</li><li>Define department objectives, KPI dashboard and governance (e.g., NPI definition and handover lead times, first pass yields, failure rates, quality qppm) and drive execution through standard routines and reviews.</li><li>Lead, coach and develop a team of process engineers / technicians; set clear expectations, provide performance feedback, support competency development and ensure effective succession and talent retention.</li><li>Plan and manage resources (headcount, skills, priorities) to support daily manufacturing needs, escalations, and strategic projects; balance workload across product series and value streams.</li><li>Own process engineering deliverables for NPI or transfer projects: feasibility, process concept, capacity planning, industrialization roadmap, and readiness reviews to ensure on-time SOP.</li><li>Lead cross-functional collaboration with Product Design, Quality, Production, Maintenance, Supply Chain and global counterparts to deliver robust processes supported by Design for Manufacturing / Assembly / Test (DFM / DFA / DFT) improvements.</li><li>Own the strategy and budget for process equipment, tools, fixtures, testers and workstations; approve specifications, manage procurement, acceptance, validation and release to production.</li><li>Drive continuous improvement programs (CIP / Darwin) to improve throughput, cycle time, productivity and cost; support CIP events and ensure sustained gains through standardization.</li><li>Ensure effective utilization of PFMEA and other quality tools to manage and mitigate quality risks during process development, acceptance and production release.</li><li>Develop engineering procedures to govern end-to-end process engineering activities across process design, definition, industrialization, handover, sustainment and continuous improvements.&nbsp;</li><li>Ensure upkeep of process work instructions in D365 via Process Control System as per global standards, including revisioning control based on valid change management procedures.</li><li>Ensure robust management of engineering changes (ECR), process changes and deviations, including impact assessment, validation and controlled implementation.</li><li>Own 8D problem-solving governance for process-related issues, ensure timely root-cause containment / corrective and preventive actions, lessons learned, and clear communication to stakeholders.</li><li>Drive safety, ergonomics and regulatory / ISO compliance for process engineering scope; ensure safe equipment and process design through risk assessments.</li><li>Drive the sustainable deployment of state-of-the-art engineering solutions on the assembly shop floor to enhance quality control through robust error-proofing (poka‑yoke) mechanisms and digitalizations.</li><li>Act as the site focal point to align with global and process engineering counterparts on technology roadmaps, best practices and standardization.</li><li>Manage departmental reporting, change control and communication: provide clear status updates, risks and mitigation plans to operations and leadership.</li><li>Support ad hoc tasks as assigned by superior.</li></ul> Requirements: <ul><li>8–12+ years’ experience in manufacturing/precision mechanical assembly (high-mix preferred), with demonstrated ownership of end-to-end process engineering (process development/industrialization, cleaning / helium leak testing, and controlled-environment or cleanroom assembly where applicable).</li><li>Bachelor’s/Master’s degree in Mechanical, Manufacturing, Industrial Engineering or equivalent; formal training in Lean/Six Sigma and structured problem solving will be added advantage.</li><li>Proven people leadership experience (hiring, coaching, performance management) with the ability to lead technical teams and influence cross-functional stakeholders to deliver manufacturing results.</li><li>Strong written and spoken English communication skills, including the ability to produce clear technical documentation, present KPI performance, and communicate risks / mitigation to leadership.</li><li>Strong understanding of mechanical / pneumatic / electromechanical systems, process equipment and tooling, with experience defining specifications, commissioning, qualification / validation and release to production.</li><li>Demonstrated ownership and governance mindset - sets clear standards, drives disciplined execution, and maintains strong internal / external customer focus.</li><li>Strong prioritization, planning and project management skills to manage multiple workstreams (daily support, escalations, NPI, CIP) under tight timelines and resource constraints.</li><li>Strong technical acumen in quality planning processes especially in definition of process controls based on PFMEA.</li><li>Data-driven operational leadership: builds KPI dashboards, drives root-cause problem solving (8D / A3), and delivers sustained improvements in yield, throughput / cycle time and qppm.</li><li>Strong stakeholder management and change leadership - able to drive alignment across Production, Quality, Maintenance, Supply Chain and global counterparts; comfortable leading reviews and escalations.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Role Description: <ul><li>Quality Control (QC) Officer with hands-on experience in analytical testing and laboratory operations within API, pharmaceutical, or chemical manufacturing industries.</li><li>The candidate should have strong exposure to HPLC and other analytical instruments along with knowledge of GMP/GLP documentation and quality systems.</li></ul> Responsibilities: <ul><li>Perform analysis of raw materials, in-process samples, and finished products as per specifications and SOPs.</li><li>Handle and operate analytical instruments such as: o	High-Performance Liquid Chromatography (HPLC) o	GC o	UV Spectrophotometer o	FTIR o	Karl Fischer</li><li>Conduct wet chemical analysis, titration, LOD, moisture analysis, and related QC activities.</li><li>Prepare mobile phase, standard solutions, reagents, and test samples for analysis.</li><li>Perform calibration and routine maintenance of laboratory instruments.</li><li>Maintain laboratory records, logbooks, COA documentation, and reports as per GMP/GLP guidelines.</li><li>Follow SOPs, safety standards, and quality compliance procedures.</li><li>Support audit activities and maintain data integrity.</li><li>Coordinate with QA and Production teams for quality-related activities.</li></ul> Requirements: <ul><li>Strong hands-on experience in HPLC analysis (Mandatory)</li><li>Knowledge of GC, UV, FTIR, and wet chemistry.</li><li>Understanding of GMP, GLP, SOPs, and documentation practices</li><li>Good analytical and troubleshooting skills.</li><li>Ability to work in rotational shifts and plant environment Preferred Candidate Profile</li><li>Experience in API / Pharmaceutical / Chemical manufacturing industry</li><li>Good exposure to QC laboratory operations</li><li>Strong attention to detail and documentation accuracy</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Ensure compliance and correct implementation of all procedures and to identify solutions to fill the gaps</li><li>Ensure correct instore operations: logistics, administration, AFS</li><li>Ensure the best BOH organization to support sales staff</li><li>Ensure stock inventory /stock take objective results</li><li>Support the stores management role in effectively operating the boutique also in term of ROTA including match to traffic needs.</li><li>Ensure service to clients is properly supported at all times with the right equipment and teamwork flows (including food and beverage, etc)</li><li>Ensure availability of store supplies (packaging, food and beverage) at all times.</li><li>Ensure online and offline integration</li><li>Responsible for day-to-day in-store visual merchandising execution and maintenance</li><li>Oversee aftersales with ordering parts/drop off and liason with repair technicians.</li><li>Support all product launches, events and promotions with visual enhancements</li></ul> Requirements: <ul><li>Proactivity and problem solving attitude</li><li>Ability to coordinate back office activities to support sales</li><li>Ability to collaborate with Store Manager and HQ to support business</li><li>High knowledge of retail/ operations procedure to ensure smooth run of the store</li><li>Ideally understand RFID and SAP system</li></ul>

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184 technology solutions Jobs found

Account Executive

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality)

Process Engineering Manager

Senior Software Engineer AI

Software Engineer AI

QC Officer

Data & ML Architect

Stock Keeper + In-Store Visual Merchandiser

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Skills

Industry

Location

Jobtitle

184 technology solutions Jobs found

Account Executive

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality)

Process Engineering Manager

Senior Software Engineer AI

Software Engineer AI

QC Officer

Data & ML Architect

Stock Keeper + In-Store Visual Merchandiser

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.