Account Manager

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

Territory Sales Executive

AVP, Digital Analytics

&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: 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>

Role Description: <ul><li>Seeking a technically strong and commercially driven Territory Sales Executive to support the execution of strategic account plans at a regional level across Southern Germany, Austria, and Switzerland.</li><li>This role focuses on activating distribution networks, influencing contractors, and ensuring successful deployment of solutions across enterprise customer branches.</li><li>Working closely with the Strategic Account Executive and Enterprise Account Team, you will act as the key link between headquarters strategy and on-the-ground execution across an extensive distributor and contractor network.</li></ul> Responsibilities: <ul><li>Execute the strategy defined by the Strategic Account Executive across assigned regional branches.</li><li>Develop and maintain strong relationships with local and regional distributors within the territory.</li><li>Coordinate closely with Enterprise Account Teams to ensure effective coverage of enterprise and large (Bracket I) accounts, including OEM centers.</li><li>Support and engage approximately 5 key wholesalers (HQ level) and their ~90 regional branches through training and activation initiatives.</li><li>Deliver product training and technical support across distributor branches and contractor networks.</li><li>Work directly with contractors as key influencers in the sales process, ensuring they are equipped to specify and promote solutions.</li><li>Implement channel strategies to drive revenue growth and increase market share through distribution partners.</li><li>Negotiate and manage local agreements, pricing structures, and performance metrics with distributors.</li><li>Conduct regular business reviews with partners to track performance and identify growth opportunities.</li><li>Ensure full alignment and communication between stakeholders across the value chain (HQ, branches, contractors).</li><li>Promote the full portfolio including compression, controls, and electronics as part of a 360° service offering.</li><li>Travel extensively within the assigned region.</li></ul> Requirements: <ul><li>Technical degree or apprenticeship in refrigeration engineering (mandatory: Mechatroniker für Kältetechnik or equivalent).</li><li>Minimum of 5 years’ experience in a technical sales, application engineering, or channel sales role.</li><li>Strong technical understanding of HVAC/R systems, including compressors, controls, and electronics.</li><li>Proven experience working with distributors, wholesalers, and contractor networks.</li><li>Excellent interpersonal and stakeholder management skills.</li><li>Ability to work autonomously while collaborating effectively within a matrix organization.</li><li>Native-level German language skills.</li><li>Strong proficiency in Salesforce or similar CRM systems.</li><li>High willingness to travel across Southern Germany, Austria, and Switzerland.</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

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Jobtitle

134 backup solutions Jobs found

Account Manager

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

Territory Sales Executive

AVP, Digital Analytics

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Skills

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Jobtitle

134 backup solutions Jobs found

Account Manager

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

Territory Sales Executive

AVP, Digital Analytics

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

EMPLOYER

TALENT

COMPANY

Contact Us

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