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Manage daily operations (from BPO) for HQ projects: data labeling, search improvement, global category enhancement, etc and ensure they reach the target of SLA review contents, accuracy, policy adherence.Collaborate with project owners to align standard procedures, workflow and documentary as training materials for agents.Collaborate with the workforce management team to plan for resources and workload monthly/quarterly.Extract key insights on project performance for management reports and support for operation improvement.Assist team leader in other tasks assigned.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 7 years of experience in operations management, program management, or a similar role. Preferred qualifications: 5 years of relevant work experience in operations or program management. Knowledge of the data labeling industry, including best practices, challenges, and quality assurance techniques. Familiarity with AI/ML development life-cycles and the role of human-annotated data. About the job As a Scaled Operations Manager, you will lead multidisciplinary AI/ML programs within AI Data operations, strengthening cross-Google accountability and execution. In this role, you will plan requirements with internal customers, manage projects through entire life-cycle, and co-ordinate stakeholders across offices, time zones, and hemispheres while managing schedules, operations, and risks to ensure alignment on progress and deadlines.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive program outcomes for a portfolio of programs, focusing on efficiency, quality, and scalability. Design, launch, standardize, and continuously optimize end-to-end operational processes for various workflows. Develop and implement frameworks for tracking and reporting on the delivery and quality of work, ensuring goals are met. Act as the first point of contact for volume management and deliverable tracking, coordinating across multiple Product Areas (PAs). Ensure smooth execution of projects by proactively identifying and resolving bottlenecks and risks. Utilize data analysis to monitor performance, identify trends, and drive operational improvements. Develop and maintain documentation, best practices, and playbooks for operations. Partner with cross-functional teams, including engineering, product management, and technical writers, to enhance tooling and support for operations program. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Overview As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process. Microsoft’s Cloud Operations Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity Inclusion training and events, and professional certifications. Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption.Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs).Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance.Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists. Assists and provides guidance to other technicians to complete challenging or complex tasks.Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training. Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work. Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities. Embodies our culture and values.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:As an Audio ML Data Engineer on the Logitech Hardware Audio ML and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers.The Audio ML Data Engineers key responsibilities include:Data Pipeline Management: Ensuring the integrity and quality of Audio ML data pipelines and datasets, which involves robust data augmentation and managing workflows for supervised, unsupervised, and semi-supervised ML audio applications.Model Development and Deployment: Collaborating with the team to develop and deploy Audio ML models, specifically targeting platforms with strict resource limitations (such as Tensilica DSP, ARM, and RISC-V).Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelinesEvaluate and implement scalable data augmentation techniques.Establish and maintain high-quality, well-versioned, and documented datasets essential for training, validation, and benchmarking of audio ML models.Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.Formulate and execute strategies for continuous improvement of existing datasets.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:Audio Data Expertise: A minimum of 3 years of direct experience working with extensive audio datasets, including advanced data augmentation and preprocessing techniques audio ML.Python Proficiency: Strong proficiency in Python for both ML model development and automating data pipelines.Data Pipelines and ML Frameworks: Proven expertise in building scalable data pipelines and expertise in employing ML frameworks (TensorFlow, Keras) with large-scale, complex datasetsPreferred Qualifications:​Expert-level skills in audio analysis, including listening and artifact detection, with a proven track record of validating performance across diverse datasets.Strong familiarity with designing, executing, and statistically analyzing audio quality measurement protocols, specializing in managing data-driven objective and subjective evaluations.A strong data-first mindset, with a demonstrated ability to drive innovation both independently and as part of a team.Proficiency in C and SQL, along with experience using code version control systems (Git), is a valuable asset.Excellent cross-functional communication, documentation, and leadership skills, emphasizing transparency in data and results.Education:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related discipline.Equivalent practical experience in professional audio ML and data engineering considered; advanced/relevant continuing education preferred.#LI-SL1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Role Summary This role owns the engineering depth behind ZB’s high-density GPU deployment standards. You will design, validate, and continuously improve liquid cooling and power delivery architectures that enable reliable operation at modern AI rack densities. The scope spans concept design, vendor selection, testing and commissioning, field troubleshooting, and building repeatable standards that scale across multiple sites and partners. We want to combine our proprietary GPU optimization software to reflect what is required specs in a data hall and data center environment for customers. What You Will Do Architecture and Reference Designs Own ZB reference architectures for liquid-cooled AI data centers, including direct-to-chip and hybrid approaches, and provide clear decision frameworks for when each architecture is appropriate.Define rack-level and row-level cooling topology (CDUs, manifolds, supply and return routing, redundancy philosophy) and produce buildable specifications.Partner with electrical engineering counterparts to define end-to-end power architecture (medium voltage interface where applicable, transformers, switchgear, UPS, PDUs, busway, grounding, and redundancy).Translate AI workload and GPU platform requirements into thermal and electrical design targets, including transient behavior, ramp profiles, and failure modes.Engineering Validation and TestingDevelop test plans for cooling loop performance, leak integrity, pressure and flow stability, and heat rejection efficiency under representative AI loads.Define acceptance criteria for component suppliers and system integrators, including FAT and SAT procedures, instrumentation requirements, and documentation standards.Establish reliability and maintainability standards: isolation valves, bypass loops, drain and fill procedures, service clearances, and spare strategy.Create incident playbooks for thermal excursions, pump failures, flow alarms, and power events. Ensure procedures are realistic and operator-friendly.Deployment, Commissioning, and Operations SupportSupport commissioning and handover for deployments. Validate that thermal and electrical systems meet design intent before scaling workloads.Troubleshoot cross-discipline issues: hot spots, uneven flow distribution, unstable differential pressure, air entrainment, sensor drift, and control loop tuning.Work with operations teams to define preventive maintenance schedules, calibration routines, water quality management, and filter strategy to protect IT equipment.Build operational dashboards and telemetry requirements in partnership with software teams to ensure early detection and fast root-cause analysis.Vendor Management and Cost-Performance OptimizationEvaluate suppliers on performance, reliability, lead time, serviceability, and total cost of ownership. Maintain an approved vendor list and qualification criteria.Negotiate and enforce engineering deliverables: drawings, BOM transparency, testing evidence, warranty terms, and service response SLAs.Drive cost and efficiency improvements through design simplification, standardization, and repeatable modules without compromising uptime and safety.Ensure compliance with relevant standards and good practices for data centers and liquid cooling systems, including safety, labeling, and documentation.Documentation and Knowledge BuildingProduce clear, version-controlled engineering documentation: specifications, one-line diagrams, PIDs, commissioning checklists, and SOPs.Train internal teams and partners on ZB standards, including installation best practices and common failure modes.Contribute to ZB’s customer-facing technical collateral where appropriate, ensuring accuracy and credibility. First 30 Days Review ZB’s current deployment footprint, partner ecosystem, and existing reference designs and pain points.Map critical vendors and identify highest-risk components and processes (leaks, sensor quality, control logic, redundancy gaps).Deliver an initial gap analysis with priority actions and quick wins.First 60 DaysPublish v1 of ZB’s liquid cooling and power reference standards that matches with Company software (zWare) requirements to be on spec, including minimum acceptance criteria and commissioning checklists.Run or redesign at least one validation and commissioning workflow with updated instrumentation and sign-off steps.Create incident playbooks for the top failure scenarios and train relevant teams.First 90 DaysComplete supplier qualification and define an approved vendor list with clear testing and documentation requirements.Demonstrate measurable reliability improvements through telemetry, incident reduction, or commissioning cycle time reductions.Establish a scalable documentation library and training cadence for internal and partner teams.

We are looking for a Senior Product Executive to join our Customer Experience product group, building products that help MoMo scale customer support quality, strengthen user/merchant trust, and continuously improve service experiences.This is a high-visibility individual contributor role, where you are expected to operate with strong autonomy, influence, and domain expertise to turn complex problems into simple, measurable product outcomes - working closely with Engineering, Design, Data/ML, and Operations.You will contribute to initiatives across CRM and Customer Experience Platform (CXP), including AI-enabled capabilities already running in CRM and experience intelligence features that convert feedback into actionable insights.Mô tả công việcDefine, own, and continuously refine the product roadmap for your product area - aligning priorities with business goals, operational needs, and customer impact.Drive end-to-end product execution: problem framing, solution shaping, prioritization, requirement definition, delivery, launch, and iteration.Work on products that directly impact CS operational efficiency (AHT, FCR, deflection rate) and customer satisfaction metrics.Translate business needs and user insights into clear product requirements (user stories, workflows, edge cases, acceptance criteria).Partner closely with Engineering/QA to ensure high-quality delivery and smooth rollout in a fast-paced environment.Collaborate with Design to simplify complex operational workflows into intuitive, efficient experiences.Align stakeholders: clarify scope, communicate trade-offs, and ensure shared understanding across teams.Define success metrics and monitor product performance post-release; use data to guide decisions and continuous improvement.Partner with Engineering and Data/ML teams to evolve AI-powered modules inside CRM, including AI Labeling and CS Copilot—improving ticket classification accuracy, handling speed, and support quality at scale.Improve CRM operational workflows (ticket intake, classification, routing, handling, monitoring) and enhance usability/performance of key screens and tools.Contribute to CXP initiatives that unify feedback sources, enrich context and support issue understanding/management to accelerate “feedback-to-action”.Yêu cầu công việc3+ years of experience as a Business Analyst/ Product Owner, preferably in financial services or similarly regulated, operations-heavy environments.Proven ability to operate at both strategy and execution levels: shaping direction, making prioritization calls, and driving delivery to measurable outcomes.Familiarity with CRM/ticketing/customer support tooling or internal platform products used daily by ops teams.Demonstrated ability to ship product features end-to-end with measurable outcomes.Strong understanding of Agile ways of working; comfortable managing backlog and working with delivery rituals.Solid analytical skills: define metrics, interpret data, and make prioritization decisions grounded in evidence.Strong communication and documentation skills; able to influence without authority.Comfortable working cross-functionally with Engineering, Design, Data/ML, and Operations teams.Familiarity with AI concepts used in products: labeling/classification, copilots/assistants, summarization, evaluation/monitoring, operational adoption.

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact Quality Management System is responsible for implementing and driving global ISO9001 compliant processes. Also responsible for product environmental compliance, RMA Process, BCP disaster management, IC product marking and labeling, NPI project management, Six Sigma, Customer RFI, automotive FUSA/ASPICE, ESG, etc. What You Can Expect Regulatory Compliance: Support the process of ensuring all Marvell products comply with local and international environmental regulations (e.g., RoHS, REACH, TSCA, Prop 65).Data Management: Maintain and update product environmental compliance documents, including material composition declarations, environmental certifications and ICP reports.Continuous Improvement: Assist in identifying areas for improvement in product environmental performance and recommend action plans.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management or related technical role. 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience with the domain area of Generative AI or LLM's. Preferred qualifications: 3 years of experience shipping AI products, and in Generative AI, large models, and balancing model quality with cost/benefit tradeoffs. Experience in API design (REST/JSON) and industry-specific data standards (FHIR, HL7, ICD-10, SNOMED) or EHR systems (Epic/Cerner). Experience in risk, compliance, or healthcare (Provider/Payer/Life Sciences) within frameworks like HIPAA, GxP, or financial risk governance. Ability to drive goals, PRDs, and GTM strategy while managing complex cross-functional stakeholders and global launches. Ability to think strategically with ambiguity, iterating for product-market fit, and presenting to C-suite audiences. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will define the goal and tactics for building enterprise-grade products, including Healthcare APIs and Risk AI models that solve complex global problems. You will manage the interoperability of fragmented healthcare data to directly impact the future of financial crime detection and prevention, you will own key product areas that require a deep understanding of AI/ML technologies and their real-world applications.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Define the goal, strategy, and roadmap for enterprise-grade products, including Google Cloud’s Healthcare API and Risk AI portfolios, while driving expansion into new global regions. Lead the design and specification of new features (e.g., FHIR-based APIs, medical imaging, and AML detection) by authoring comprehensive PRDs and identifying key opportunities for growth. Manage critical relationships with global banks and innovative healthcare organizations, participate in executive briefings for C-suite audiences and navigate enterprise readiness or incident response. Collaborate with cross-functional data science teams to optimize model quality, recommend best practices for labeling, sampling, and AI-driven investigations. Balance feature requests and project delivery across multiple modalities using robust frameworks that weigh effort and complexity against OKRs and customer value. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Innovation starts from the heart. Heart valve disease impact millions of lives, spanning all ages and geographies. As communities globally address the opportunities and challenges of cardiovascular care, telling a compelling and authentic story is more crucial than ever. Beyond raising awareness, our Marketing teams build lasting, trusted relationships with medical professionals and industry stakeholders to ensure patients can receive the treatments they need. Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and under-treated. Edwards’ groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. How you’ll make an impact： Product Launch Commercialization Lead the execution of comprehensive product launch plans, including strategies and tactical execution for new product launches, programs, and initiatives.Develop and implement product marketing materials and programs that support launch and commercialization strategies, in alignment with established brand guidelines and processes.Drive marketing collateral and labeling through all relevant legal, regulatory, and compliance approval processes for minor product launches. Clinical Scientific Marketing Develop clinical marketing messages aligned with Global strategy, current clinical literature, and regulatory and legal requirements.Build and deliver strong clinical marketing perspectives and content based on scientific evidence to support major product launches, data releases, and therapy development needs.Translate complex clinical data into clear, compelling messaging for internal and external audiences. Sales Enablement Training Partner with Sales and Training teams to support new hire onboarding, product launches, and ongoing field communications.Lead the development and execution of marketing and product training materials.Deliver sales force training to ensure strong product knowledge and confident field execution. Stakeholder Engagement External Partnerships Build and maintain relationships with key opinion leaders (KOLs) to inform launch planning and gain insights into the competitive and clinical landscape.Collaborate with medical societies and professional organizations to support clinical consensus-building and disease or therapy awareness.Plan and execute physician education programs in partnership with Sales and Professional Education teams. Cross-Functional Collaboration Work closely with cross-functional partners to ensure alignment on strategy, messaging, timelines, and execution.Ensure all marketing activities adhere to corporate, legal, and regulatory standards. What is it like to work at Edwards Lifesciences in Taiwan? As a global leader in patient-focused medical innovations, we offer rewarding opportunities and exciting challenges in a truly international, dynamic and friendly work environment. We are committed to fostering a diverse and inclusive work environment where all employees can grow, personally and professionally. To achieve this, we offer on-the-job development, training opportunities and the support and guidance provided by dedicated employee groups (the Edwards Network of Women, Edwards Foundation charity team, sustainability activities, and others). Edwards Lifesciences in Taiwan also offers the following benefits: Competitive Compensation and Benefits package Additional contributions into LPA Retirement Plan Risk Insurances Hospitalization Insurance Meal Benefits Service Awards Enhanced Leave Benefits Employee Stock Purchase Program Employee Assistance Program Education Reimbursement Program Comprehensive Well-being Program including preventive health checks, access to flu vaccination, fitness subsidy, healthy lifestyle workshops and webinars, charity activities and much more. Benefits are regulated by an internal policy which contains the full details regarding the entitlement and conditions for the benefits. Benefits policy and components may vary by location.

[About the Role]We are looking for fluent Chinese – Traditional (CN-T) speakers to help train and improve next-generation AI voice systems. You will record short scripted lines, evaluate AI-generated audio, and provide feedback to help models sound more natural, clear, and human-like. This role does NOT require professional studio recording experience; anyone with a clear speaking voice can apply. Individuals with voice acting or narration experience may qualify for higher-tier compensation. [What You’ll Do]• Record short scripted phrases and sentences in Chinese – Traditional (CN-T) with clear pronunciation and natural pacing.• Follow simple style and tone guidelines.• Re-record lines when needed for clarity or quality.• Upload audio files following formatting and naming instructions.• Listen to AI-generated audio and rate clarity, naturalness, and pronunciation.• Identify issues such as unnatural tone, incorrect stress, awkward pauses, or background noise.• Provide short written notes in English describing errors.• Follow instructions accurately and complete tasks on time.