Supplier Quality Engineer

Product Pricing Analyst

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Account Manager - Sales

Solution Engineer - AI Infrastructure

Commerical  Solution Engineer

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Responsibilities: <ul><li>Act as a single-point-of-contact for topics and issues related to supplier quality within the Heredia, Costa Rica facility.</li><li>Lead supplier-related activities to ensure incoming quality is proactively planned, prepared, and ensured in advance before production part is approved and released.</li><li>Continually improve supplier performance through coaching, training, consequence enforcement, supplier awards and motivation, supplier restriction and disqualification, etc.</li><li>Measure and communicate supplier performance to those suppliers and the organization.</li><li>Evaluate, qualify, approve appropriate new, competitive suppliers (including search for new suppliers), in collaboration with the procurement teams.</li><li>Review and approve/reject/amend supplier Production Part Approval Process (PPAP) submissions for new product releases and qualifying changes to existing components.</li><li>Monitor quality data within the operating systems to ensure data accuracy and develop reporting systems to accurately document and record supplier trends and performance.</li><li>Periodically monitor quality specifications to ensure supplier compliance.</li><li>Work with engineering to clarify and change specifications regarding incoming goods when necessary.</li><li>Clearly communicate (and enforce) company requirements and expectations to suppliers.</li><li>Solicit, drive, monitor, review, approve, and validate containment/corrective/preventive actions by suppliers.</li><li>Facilitate supplier quality roadmaps leading to improved supplier performance.</li><li>Conduct process and system audits of suppliers and maintain working knowledge of ISO and TS quality system requirements.</li><li>Serve as Supplier Quality Lead / SME during internal audits and 3rd party inspections/audits (FDA, BSI).</li><li>Chair QBRs (Quarterly Business Reviews) with key suppliers.</li><li>Validate manufacturing and supplier processes, including activities associated with equipment installation qualification (IQ), operational qualification (OQ), and performance qualification (PQ).</li><li>Interact with cross-functional teams to resolve supplier-related quality issues.</li></ul> Requirements: Qualifications &amp; Background: <ul><li>Bachelor’s degree in Process Engineering, Manufacturing Engineering, or other engineering discipline plus 5+ years’ experience in a manufacturing environment.</li><li>Working knowledge and understanding of the Food and Drug Administration (FDA) 21 CFR 820 and International Organization for Standardization (ISO) – ISO 13485 and ISO 14971.</li><li>Bilingual (English / Spanish).</li><li>Experience in a Supplier Management role.</li><li>Experience conducting quality audits in a manufacturing environment.</li><li>Lean Six Sigma Green Belt Certification.</li><li>Proficiency in Microsoft Office.</li><li>Strong problem-solving and analytical skills for compiling and analyzing data.</li><li>Knowledge of DOE, SPC, Gage R&amp;R, and sampling plans.</li><li>Effective time management skills, applied to fast-moving and high-pressure environments.</li><li>Ability to work independently with little or no supervision, as well as in teams.</li><li>Willingness to travel (approximately 10%) to visit suppliers.</li></ul>

Responsibilities: <ul><li>Analyze industry pricing standards and competitors to set optimal pricing strategies.</li><li>Harvest and consolidate data from various sources to support pricing decision-making.</li><li>Maintain product pricing routinely in internal systems.</li><li>Manage pricing requests both online and offline via tools.</li><li>Identify low-margin business segments and collaborate with Product Managers to resolve issues.</li><li>Monitor pricing agreement performance and ensure adherence to expected margins.</li><li>Apply advanced analytics to identify pricing issues and opportunities.</li><li>Develop dashboards and reports that support strategic pricing decisions.</li><li>Explore innovative pricing techniques, such as AI-driven models, competitor benchmarking, and cross-functional data integration.</li><li>Communicate and align pricing strategies across departments: Sales, PM, Customer Care, and Finance.</li><li>Simplify and clearly communicate pricing decisions and methodologies to stakeholders.</li><li>Incorporate market insights and business rules into pricing logic.</li><li>Recommend pricing actions to capture market opportunities and improve profitability.</li></ul> Requirements: Experience: <ul><li>Minimum 5- 6 years of experience in pricing analysis, business analysis, commercial strategy, or a related field.</li></ul> Education: <ul><li>Bachelor’s degree or higher in Economics, Finance, Business, Statistics, or a related field.</li></ul> Skills: <ul><li>Strong analytical, strategic thinking, and problem-solving skills.</li><li>Proficiency in Excel and data visualization tools (e.g., Power BI).</li><li>Experience working across business units and aligning stakeholder objectives.</li><li>Ability to present complex data in a clear, simplified format.</li></ul>

Role Description: <ul><li>Lead initiatives to acquire new credit card accounts profitably.</li><li>Deep understanding of credit card economics and P&amp;L drivers</li><li>Collaborate with marketing, credit risk, analytics, product management, and other teams.</li><li>Use data-driven strategies and A/B testing to optimize account acquisition.</li><li>Partner with Product and Marketing to launch credit card-related initiatives focusing on acquisition, activation, and early engagement.</li><li>Implement marketing programs across multiple digital channels (our client App, email, affiliates, paid search, Martech/CRM).</li></ul> Responsibilities: <ul><li>Develop new credit card features by assessing competition, customer needs, and research findings.</li><li>Drive adoption of our client Credit Cards alongside internal teams and external bank partners.</li><li>Manage forecasting, KPIs, OKRs, campaign analysis, and incentive strategies related to new accounts.</li><li>Oversee day-to-day management of all projects to ensure timely and risk mitigated delivery.</li><li>Maintain awareness of the competitive landscape to inform program and feature development.</li></ul> Requirements: <ul><li>10+ years in the credit card industry, especially revolving credit products.</li><li>Proven experience managing credit card P&amp;Ls, forecasting, and target management.</li><li>Strong leadership skills, specifically in cross-functional collaboration and indirect leadership.</li><li>Excellent influencing and senior-level communication abilities.</li><li>Expertise in project management with tools like Confluence and Jira.</li><li>Strong organizational skills and ability to thrive in a fast-paced, dynamic environment.</li><li>Proficiency in Microsoft Suite and advanced PowerPoint skills.</li><li>Familiarity with our client and consumer credit products.</li></ul>

Responsibilities: Grievance &amp; Compliance Leadership: <ul><li>Lead end-to-end employee misconduct investigations (preliminary and detailed), ensuring fairness, consistency, and legal compliance across all cases.</li><li>Own full disciplinary lifecycle: recommend actions, approve issuance of show cause/warning/dismissal letters, and maintain robust, auditable records.</li><li>Drive periodic compliance audits across contract labor suppliers (security, canteen, uniform vendors) and ensure timely corrective action on non-conformities.</li><li>Conduct due diligence and performance reviews of foreign operator agencies; submit data-driven recommendations for contract renewals or terminations.</li></ul> Policy &amp; Process Ownership: <ul><li>Manage centralized document control for all HR policies, procedures, and operational guidelines — ensuring accessibility, version control, and alignment with evolving legal standards.</li><li>Design and deliver compliance training programs for managers and employees, covering HR policy, performance management, and labor law essentials.</li><li>Act as the go-to subject matter expert on employment law, IR best practices, and grievance resolution frameworks.</li></ul> Union Engagement &amp; Strategy: <ul><li>Lead plants transition into a unionized environment: educate leaders and HR on union dynamics, negotiation frameworks, and collaborative engagement models.</li><li>Build and sustain a constructive union relationship — balancing business needs with employee representation through regular dialogue, transparency, and mutual respect.</li><li>Anticipate union-related risks and opportunities; advise leadership proactively on IR positioning and response strategies.</li><li>Drive union readiness programs, including leadership coaching, communication protocols, and scenario planning.&nbsp;</li></ul> Canteen Management: <ul><li>Lead vendor governance for contract labor and canteen operations. Monitor service levels, hygiene, and employee satisfaction; drive timely audits, feedback loops, and improvements.</li></ul> Hostel &amp; Foreign Worker Management (End-to-End): <ul><li>Manage full lifecycle of foreign worker operations: manpower planning, documentation, immigration processes, hostel inspections, welfare coordination, and compliance with regulatory and internal standards.</li><li>Ensure foreign workers are treated with dignity and respect; champion human rights standards and ethical labor practices.</li><li>Coordinate with embassies, Ministry of Home Affairs, Department of Immigration, and labor agencies to ensure seamless processes and timely resolution of issues.</li><li>Oversee hostel living conditions, safety, and welfare programs; act as the primary point of contact for foreign worker concerns.</li></ul> Compliance Audits &amp; Risk Management: <ul><li>Lead and coordinate audits related to labor compliance, human rights, and ethical sourcing across all third-party providers.</li><li>Ensure the plant is audit-ready at all times; track and close findings with urgency and rigor.</li><li>Stay current on evolving labor regulations and proactively adjust policies and practices to mitigate risk</li></ul> Requirements: <ul><li>Bachelors degree in Human Resource Management, Business Administration, Industrial Relations, or related discipline.</li><li>7–10 years of HR experience, with deep exposure to industrial relations, employee relations, labor law, and HR compliance—preferably in a manufacturing, unionized, or FMCG environment.</li><li>Proven track record of managing complex disciplinary cases, union negotiations, and IR matters with sound judgment and integrity.</li><li>Strong working knowledge of Malaysian labor law, Employment Act, Industrial Relations Act, and related regulations.</li><li>Advanced proficiency in Microsoft Office (Excel, Word, PowerPoint); able to prepare reports, dashboards, and present findings with clarity.</li><li>Familiar with HR systems, documentation best practices, and audit standards.</li><li>Excellent stakeholder management and interpersonal skills; able to influence, negotiate, and build trust across all levels—from frontline employees to senior leaders.</li></ul>

Responsibilities: <ul><li>Develop and execute strategic sales plans to drive business growth within your assigned territory and specific customer base.</li><li>Work closely with our partners on joint account plans aligned to your customer short and long term business objectives.</li><li>Identify, qualify, and close sales opportunities by engaging with key stakeholders and decision-makers.</li><li>Build and maintain positive relationships with customers, understanding their business challenges and technology needs.</li><li>Collaborate with internal teams, including technical specialists in Cloud &amp; AI, Collaboration, Security, Enterprise Networking and Observability to deliver customer-centric solutions.</li></ul> Requirements: <ul><li>8+ years of field sales or account management experience in the technology industry.</li><li>Consistent track record of achieving and exceeding sales targets within a customer base.</li><li>Strong ability to manage complex sales cycles and engage with senior-level stakeholders.</li><li>Experience working with channel partners and a deep understanding of the partner ecosystem.</li></ul> Preferred Qualifications <ul><li>Passion for technology and a strong understanding of networking, security, observability, collaboration, and cloud &amp; AI solutions.</li><li>Proven experience in growing revenue within accounts and competitor displacement.</li><li>Experience using CRM tools such as Salesforce for pipeline management and reporting.</li><li>Bachelor’s degree in business, technology, or a related field, or equivalent experience.</li><li>Develop and execute strategic sales plans to drive business growth within your assigned territory and specific customer base.</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Role Description: <ul><li>We change the World; you will become passionate about your employer and the brand you represent. Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>Our employees groundbreaking ideas impact everything.</li><li>Here, that means we take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities.</li><li>Come prepared to be encouraged and inspired.</li><li>The India Strategic Enterprise Segment is a truly vibrant sales organization that covers the diverse set of accounts in the Enterprise Space.</li><li>This position will be based out of Mumbai and will focus on a specific set of Enterprise accounts.</li><li>As part of the Enterprise System Engineering Team, you will be designing, architecting and empowering the strategy for the next generation of communications and application delivery for India’s leading businesses.</li><li>Youll collaborate as part of a disruptive Sales engineering team. We offer exhilarating, inspiring, global, high impact, and uniquely broad opportunities for your growth.</li></ul> Responsibilities <ul><li>Technical sales professional serving as a Technology/Product/Solution consultant.</li><li>Technical orchestrator for an array of resources, primary responsibility for ensuring successful completion of each pitstop from a technical perspective in the lifecycle selling motion.</li><li>Provides technical information and design/implementation mentorship in concert with Architecture Seller team(s).</li><li>Collaborates with the Account Manager on the customer account plan(s), jointly ensuring customer success.</li><li>Work with internal teams to orchestrate right solutions against customer requirements with competitive positioning</li><li>Educate customer on differentiation and establish technical leadership of our client as a brand.</li><li>Field role that serves as a Technology expert across solutions preferably within a multi-domain architecture approach.</li><li>Build relationship with Engineering Teams, field teams, architecture team, Business Units (BUs), Partners and customers.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent.</li><li>Excellent written, verbal communication, listening skills.</li><li>Min 10-12 years of presales experience in technical position .</li><li>Has prior experience in solution selling around products and technology.</li><li>Highly motivated, willing to learn and demonstrate high level of adaptability towards technology shift.</li><li>Understand the broader aspects of end to end architecture and have knowledge on one or more technology areas like Enterprise networks, Data center or Security.</li><li>Optimally handle objections in a customer conversation and lead with value selling.</li><li>Technical knowledge in the Networking Solutions/SDN Architecture/Network Security /Datacenter Networking technologies.</li><li>Strong whiteboarding/presentation skills.</li><li>Strong communication skills.</li></ul>

Responsibilities: <ul><li>Work closely with internal stakeholders like Channel team, Account team and Industry partners individually to build a successful pipeline to meet and exceed your individual sales quota</li><li>Identify new business opportunities whilst establishing, developing and maintaining relationships up to executive-levels within your assigned portfolio</li><li>Network within the client’s business and influence key decision makers, typically at C-level</li><li>Act as Clients ambassador within specific client accounts</li><li>Articulate and promote the company’s security&nbsp;value proposition and services to become a trusted advisor within your customer base</li><li>Identify new business opportunities and prepare detailed account development plans, engagement strategies and targets for each account within your assigned portfolio</li><li>Take control of opportunities and accurately forecast business objectives and outcomes. Follow MEDDPICC.</li></ul> Requirements: <ul><li>Min 10 years of experience selling cybersecurity solutions in Delhi/NCR region.</li><li>Proven successful track record in a similar role selling high technology products to Enterprise customers.</li><li>Ability to network multiple levels within an account up to C-Level.</li><li>Ability to create and deliver value propositions.</li><li>Proven sales track record.</li><li>Excellent verbal, written and presentation skills.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

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144 microsoft technologies Jobs found

Supplier Quality Engineer

Product Pricing Analyst

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Account Manager - Sales

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

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Skills

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144 microsoft technologies Jobs found

Supplier Quality Engineer

Product Pricing Analyst

Senior Manager, Credit Card Acquisition Strategy

Manager, Industrial and Employee Relations

Account Manager - Sales

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

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.