Inside Sales Representative

Data Analyst

Staff/Principal Engineer, NAND TD, RDA

Electrical Engineer – Industrial Power

Account Manager

Senior Software Engineer AI

Software Engineer AI

HR PARTNER II

Talent Acquisition Specialist

Data & ML Architect

Responsibilities: <ul><li>Build and maintain strong relationships with HVAC-R OEM customers via remote channels (video, phone, email).</li><li>Manage a high-volume, diverse portfolio of regional accounts across DACH, ensuring consistent engagement and follow-up.</li><li>Conduct regular customer check-ins to understand needs and identify growth opportunities.</li><li>Drive upsell and cross-sell initiatives across the full product and solutions portfolio, clearly translating technical value into customer benefits.</li><li>Lead pricing discussions and contract negotiations within defined frameworks.</li><li>Own and maintain a healthy sales pipeline within CRM systems, ensuring accurate forecasting and documentation •	Act as the primary point of contact for assigned accounts, coordinating internally to deliver a seamless customer experience.</li><li>Identify and develop “hidden champions” within customer organizations to expand business potential.</li><li>Monitor HVAC-R market trends, competitor activity, and customer challenges to inform sales strategy.</li><li>Engage with agents and support indirect sales channels where relevant.</li><li>Proactively identify new opportunities within existing accounts and the wider market&nbsp;</li></ul> Requirements: <ul><li>1–3 years’ experience in sales, account management, or technical sales.</li><li>Proven ability to manage a broad portfolio with strong prioritization, time management, and follow-up discipline.</li><li>Experience working towards targets and sales quotas in a high-volume environment, with a results-driven mindset.</li><li>Strong communication skills, particularly in remote/digital customer engagement.</li><li>Customer-centric and solution-oriented approach, with the ability to build lasting relationships.</li><li>Experience using CRM tools and managing sales pipelines.&nbsp;</li><li>Technical curiosity and the ability to quickly understand and communicate product value.</li><li>Fluency in English and German&nbsp;</li></ul> Preferred Skills and Qualifications <ul><li>Experience within HVAC-R or a related technical industry.</li><li>Understanding of mechanical and/or electronic components.</li><li>Exposure to OEM customer environments.</li><li>Additional Eastern European language skills (French is highly desirable for the France-focused role).</li><li>Demonstrated proactive “hunter” mindset, with the ability to identify and pursue new opportunities.</li><li>Adaptability and flexibility in a fast-evolving, international sales environment.</li><li>Build and maintain strong relationships with HVAC-R OEM customers via remote channels (video, phone, email).</li><li>Manage a high-volume, diverse portfolio of regional accounts across DACH, ensuring consistent engagement and follow-up.</li><li>Conduct regular customer check-ins to understand needs and identify growth opportunities.</li><li>Drive upsell and cross-sell initiatives across the full product and solutions portfolio, clearly translating technical value into customer benefits.</li><li>Lead pricing discussions and contract negotiations within defined frameworks.</li><li>Own and maintain a healthy sales pipeline within CRM systems, ensuring accurate forecasting and documentation</li></ul>

Responsibilities: Database Maintenance &amp; Support <ul><li>Assist in the maintenance of relational databases (Oracle, SQL Server).</li><li>Support schema creation, updates, normalization, and performance tuning.</li><li>Monitor data quality, identify inconsistencies, and help ensure data integrity across systems.</li></ul> Data Migration &amp; Platform Transition <ul><li>Support data extraction, transformation, and loading (ETL) during system migrations and platform upgrades.</li><li>Assist in transitioning data between legacy environments and modern systems, including Databricks.</li><li>Validate migrated data and document reconciliation results. Data Analysis &amp; Querying</li><li>Write and execute SQL queries for analysis, verification, and operational needs in Oracle and SQL Server environments.</li><li>Participate in exploratory and diagnostic analysis to uncover trends and support business decisions.</li></ul> Documentation &amp; Governance <ul><li>Maintain accurate documentation of data processes, transformations, and system behaviors.</li><li>Support compliance with organizational standards for data governance and metadata management.</li></ul> Requirements: Required Skills &amp; Qualifications <ul><li>Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.</li><li>Foundational understanding of relational database concepts and SQL.</li><li>Introductory experience or coursework using Oracle, SQL Server, or similar RDBMS platforms.</li><li>Strong analytical thinking, attention to detail, and problem solving skills.</li><li>Ability to collaborate with technical teams in a fast paced environment.</li></ul> Preferred Skills &amp; Qualifications <ul><li>Exposure to Databricks or other big data / cloud analytics technologies.</li><li>Understanding of ETL concepts, data pipelines, or data transformation frameworks.</li><li>Familiarity with PL/SQL, SSIS, or other database programming tools.</li><li>Interest in learning modern data lake, delta, or virtualization technologies (e.g., Denodo).</li></ul>

Responsibilities: <ul><li>Own the site-level RDA strategy and annual roadmap aligned to NAND TD technology nodes.</li><li>Lead analysis of experimental and production flows to detect, classify, and trend systematic and random defects.</li><li>Establish, track, and report program health metrics (baseline health, detection rates, false positives, MTTR).</li><li>Direct fast containment for defect excursions: trigger tool quarantines, define hold criteria, and lead 8D corrective actions.</li><li>Architect inspection recipes and sampling strategies; optimize sensitivity, throughput, and cost of ownership.</li><li>Partner with Process Integration, Yield, and Data Science to correlate inspection signals to device performance and yield.</li><li>Influence supplier roadmaps; evaluate, qualify, and release next gen optical/e-beam inspection capabilities.</li><li>Standardize and disseminate Best Known Methods (BKM) across global TD and manufacturing sites.</li><li>Mentor, coach, and upskill engineers; develop succession plans and technical ladders within the RDA domain.</li><li>Champion safety and continuous improvement (CIP); drive kaizen/lean initiatives that improve cycle time and learning velocity.</li></ul> Requirements: <ul><li>Bachelor’s degree with 7+ years relevant semiconductor experience, or Master’s/PhD with 5+ years.</li><li>Minimum 3+ years hands-on RDA experience in semiconductor manufacturing or equipment engineering.</li><li>Demonstrated expertise in defect inspection, process monitoring, and yield learning.</li></ul> Technical Competencies <ul><li>Realtime Defect Analysis (RDA) systems and workflows.</li><li>Optical and e-beam inspection technologies.</li><li>Statistical data analysis, correlation development, and large dataset interpretation.</li><li>Semiconductor process integration and technology development.</li><li>Root cause analysis and systematic problem solving (e.g., 8D, DMAIC).</li><li>Leadership &amp; Behavioral Competencies</li><li>Recognized technical authority with the ability to influence without direct authority.</li><li>Strong mentoring and coaching mindset with proven talent development outcomes.</li><li>Clear, concise communication skills across technical and executive audiences.</li><li>Ownership-driven, execution-focused; comfortable operating in ambiguity.</li><li>Impact &amp; Success Measures</li><li>Reduced defect-related yield loss and faster learning cycles.</li><li>On-time qualification and adoption of next-generation inspection capabilities.</li><li>Uplift in organizational RDA skill depth and succession pipeline.</li><li>Alignment of inspection strategy and capability to future NAND nodes.</li></ul>

Responsibilities: <ul><li>Develop and execute complex projects that have a substantial mix of electrical, mechanical, physics, algorithms and software design; attend design reviews and provide input to meet market requirement specifications (MRS) and hardware/software specifications.</li><li>Ensure designs meet market requirement specifications (MRS). Coordinate with project marketing and management to understand system requirements.</li><li>Be able to chair architecture brainstorming meetings and drive the systems process to down select to a final architecture of a top-level system.</li><li>Participate in the design, development, and testing of radio-frequency components for semiconductor equipment, which includes high-power generators (up to 6 kW or more), matching networks, filters, or other tuning elements, with frequencies ranging from 300 kHz to 60 MHz.</li><li>Write detailed specifications that cover all aspects of subsystem modules including interfaces to the product by using systems analysis to create a diagram. </li><li>Create concepts for complex architectural design approaches. Lead team evaluations of architectures to provide recommendation for best system solution approach.</li><li>Fabricate or modify RF components to change their performance or enable access for instrumentation.</li><li>Instrument, characterize and troubleshoot RF sub-systems within larger semiconductor tool environment.</li><li>Problem identification and troubleshooting a wide range of difficult, complex engineering problems in field of technical expertise, including serviceability and manufacturability.</li><li>Support System Integration during the assembly and final testing of new product designs.</li><li>Interface with other groups to workout design, systems architecture development and integration issues.</li><li>Define all equipment interfaces and systems architecture and ensure they are up to date and documented.</li><li>Work with vendors to develop design requirements and ensure delivery of parts that meet specifications.</li></ul> Requirements: <ul><li>PhD/ Master/ Bachelor’s degree in Electrical or Mechanical Engineering with few years of relevant RF experiences</li><li>Understand principles and operation of network analyzers, oscilloscopes, power meters, directional couplers, and other radio-frequency test equipment</li><li>Knowledge of circuit theory and ability to develop analytical models of RF components</li><li>Problem-solving and troubleshooting skills</li><li>Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of internal and external stakeholders</li><li>Self-starting individual, proactive and resourceful</li></ul>

&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: 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>

Responsibilities: <ul><li>Understand business cycles and talent needs to develop and strengthen workforce capabilities aligned with business objectives.</li><li>Support recruiting and staffing initiatives and guide managers on compensation decisions.</li><li>Manage Family and Medical Leave Act (FMLA) and leave benefits through external program providers.</li><li>Facilitate and develop HR-related training and resources for managers to strengthen leadership and people management capabilities.</li><li>Support compensation and benefits administration, payroll, and salary management activities.</li><li>Align HR priorities with business unit strategies while balancing broader HR functional goals.</li><li>Maintain a positive and productive employee relations environment.</li><li>Drive a culture of continuous improvement and operational excellence.</li><li>Act as a change agent to support transformation initiatives, learning, and development programs.</li><li>Support employee engagement, culture initiatives, and inclusion &amp; diversity programs.</li><li>Partner with value stream managers and supervisors to develop employee training programs.</li><li>Ensure effective onboarding, orientation, and employee assimilation processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Human Resources or related field.</li><li>3–5+ years of experience as an HR Generalist within a manufacturing environment.</li><li>Prior plant/manufacturing site HR experience preferred with expertise in Employee Relations, Talent Acquisition, Coaching, and Development.</li><li>Experience working within cross-functional teams and influencing stakeholders.</li><li>Ability to manage ambiguity, risk, and shifting priorities.</li><li>Strong understanding of employment laws and HR best practices.</li><li>Proven experience in HR Operations, Compensation &amp; Benefits, Talent Management, Employee Relations, and Labor Relations.</li><li>Continuous improvement mindset with strong operational execution.</li><li>Strong strategic thinking and hands-on execution capabilities.</li><li>Excellent communication, facilitation, and presentation skills.</li><li>Ability to build trust and credibility across all organizational levels.</li><li>Strong interpersonal, organizational, analytical, and process-oriented skills with a strong sense of urgency.</li></ul>

Responsibilities: <ul><li>Manage the recruitment process end to end&nbsp;</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers.</li><li>Design job descriptions and interview questions that reflect the position’s requirements and attract talent to Company</li><li>Determining selection criteria for the open positions, in line with the Company-culture and strategy.</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Will need to make presentations to senior management</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Proposing employment offers in line with Company guidelines</li><li>Run reference checks when needed</li><li>Ensure that the recruitment process is efficient, effective and equitable.</li><li>Implement employer branding initiatives, both internally and externally</li><li>Organize and attend job fairs and recruitment events</li><li>Foster long-term relationships with candidates</li><li>Conduct Hiring manager and Brand ambassador workshops</li><li>Maintain strong connections with HR colleagues within Company to share best practices</li></ul> Requirements: <ul><li>Work experience as a recruiter with relevant experience with average of 7-10 years</li><li>Familiarity with social media, resume databases and professional networks</li><li>Experience with headhunting for mid to senior positions</li><li>Hands-on experience with full-cycle recruiting using interview techniques.</li><li>Experience with assessments is a plus but not a must</li><li>Strong communication skills</li><li>Good relationship building skills</li><li>Growth mindset and learning agility</li><li>Passion and desire to make a difference</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>

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71 learning solution Jobs found

Inside Sales Representative

Data Analyst

Staff/Principal Engineer, NAND TD, RDA

Electrical Engineer – Industrial Power

Account Manager

Senior Software Engineer AI

Software Engineer AI

HR PARTNER II

Talent Acquisition Specialist

Data & ML Architect

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71 learning solution Jobs found

Inside Sales Representative

Data Analyst

Staff/Principal Engineer, NAND TD, RDA

Electrical Engineer – Industrial Power

Account Manager

Senior Software Engineer AI

Software Engineer AI

HR PARTNER II

Talent Acquisition Specialist

Data & ML Architect

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

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