Structured Finance Sr Manager Jobs

Job Title Remote Service Engineer Job Description Serve as the frontline remote technical expert, delivering rapid diagnostics and issue resolution for healthcare customers and field teams while minimizing onsite service through advanced troubleshooting and escalation management. Your role: Provide remote technical support and diagnostics to healthcare customers and field partners using advanced remote access technologies. Respond to customer inquiries as a Philips representative, delivering timely and accurate troubleshooting support. Resolve service issues by leveraging internal tools, systems, and knowledge resources. Escalate complex product issues to higher-level support for further evaluation and resolution. Utilize remote capabilities to efficiently resolve issues and reduce the need for onsite service dispatch. You're the right fit if: You’ve acquired 5+ years of remote software system experience along with a solid background in structured query language (SQL) and Windows server environments. Your skills include computer networking, technical solutions authoring, and the ability to solve mechanical and electrical issues. You have an associates degree or higher, technical discipline preferred. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Field Service position. You’re a team player who is versatile and keen to work with a variety of Philips products. How we work together We believe that we are better together than apart. For

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department NAND Probe Product Engineering Project Title AI-Enabled Test Mode Innovation and Integration Project Description The NAND Probe Product Engineering Intern will undertake a structured learning and innovation project focused on test mode development concepts, silicon validation methodologies, and AI-Enabled engineering solutions for advanced NAND technologies. Working alongside experienced Product and Design Engineers, the intern will develop knowledge of NAND test methodologies, Design for Test (DFT) concepts, and silicon validation processes. This internship combines semiconductor engineering fundamentals with Artificial Intelligence, data analytics, automation, and Generative AI technologies, providing an opportunity to explore how AI-Enabled tools and Agentic AI solutions can enhance engineering learning, technical knowledge discovery, test effectiveness, and innovation. Objective of the Project The intern will have the opportunity to: Develop an understanding of NAND architecture, probe testing concepts, Design for Test methodologies, and test mode integration practices. Explore engineering datasets to identify product behaviour

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an NVM QRA Engineer in Global Quality, you will be responsible for conducting electrical failure analysis and data analysis on next-generation 3D NAND memory devices to support product quality and reliability. You will play a key role in sustaining and improving Micron’s memory quality by developing, implementing, and overseeing outgoing monitor plans. In a high-volume manufacturing (HVM) environment, you will manage deviations through structured risk assessments and provide data-driven product disposition decisions. Responsibilities and Tasks Develop, validate, and maintain test methodologies and coverage to ensure robust product quality and reliability. Provide release documentation upon achieving qualification and set up plans to monitor the quality and reliability of the products in the HVM phase. Perform product failure analysis on rejects to identify the failure mode and mechanisms that will lead to successful corrective actions and/or preventive actions. Assist and consult on post qualification quality and reliability issues and assist in the analysis and disposition of these materials. Coordinate with Research and Development and Product Engineering teams to comprehend new reliability issues and how to test for and assess their impact to customer risk and reliability. <

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Strategic Account Executive. The ideal candidate will currently reside in either NY/NJ or Phoenix and have prior experience selling complex technology solutions to credite card companies and / or other large, distributed, Financial Services clients including IT, Shared Services, Line of Business and Senior Level Executive buyers. Our Strategic Account Executives will prospect, qualify, pursue, develop and close strategic software and SaaS opportunities in assigned Fortune 250 accounts. They will develop trusted advisor level relationships with senior executives and other important decision makers and influencers, and utilize these relationships to establish Elastic as the preferred partner and create new business opportunities. Additional responsibilities will include identifying account needs and creating compelling business cases for Elastic solutions to those needs, and developing a Strategic Plan to share with internal team members, and creating coherent deal strategies and orchestrating internal team efforts to progress opportunities. What You Will Be Doing: Technology Landscape Discovery - leading the effort to uncover, document and record a detailed understanding of the client’s current technology landscape across solution areas that are relevant to Elastic Organizational Mapping - as a companion piece to t

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Strategic Account Executive. The ideal candidate will currently reside in either NY/NJ or Phoenix and have prior experience selling complex technology solutions to credite card companies and / or other large, distributed, Financial Services clients including IT, Shared Services, Line of Business and Senior Level Executive buyers. Our Strategic Account Executives will prospect, qualify, pursue, develop and close strategic software and SaaS opportunities in assigned Fortune 250 accounts. They will develop trusted advisor level relationships with senior executives and other important decision makers and influencers, and utilize these relationships to establish Elastic as the preferred partner and create new business opportunities. Additional responsibilities will include identifying account needs and creating compelling business cases for Elastic solutions to those needs, and developing a Strategic Plan to share with internal team members, and creating coherent deal strategies and orchestrating internal team efforts to progress opportunities. What You Will Be Doing: Technology Landscape Discovery - leading the effort to uncover, document and record a detailed understanding of the client’s current technology landscape across solution areas that are relevant to Elastic Organizational Mapping - as a companion piece to t

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Lead Data Engineer to join our Data Engineering & Architecture team. In this role, you'll help grow a Data Platform that makes it easier for teams across our company to work with data confidently and effectively . Your work will directly support our business goals not just by keeping data flowing, but by turning it into something people can actually use and trust. This is a great opportunity for someone who enjoys both the technical craft of data engineering and the human side of it: collaborating with partners, sharing knowledge, and helping others get more out of the tools and systems you build together . What You Will Be Doing You'll design, maintain, and improve the pipelines and infrastructure that power our data platform. Day to day, that means working across the full data lifecycle — from ingestion and streaming to transformation and delivery — using tools like Apache Airflow, Spark, Iceberg, Kafka, Flink, and dbt Labs. Beyond the technical work, you'll spend meaningful time with stakeholders to understand what they need and help define how data should flow across systems. That includes co-creating data contracts, writing clear documentation, and guiding teammates on how to get the most out of the platform. A few other things you'll take on: Moni

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: Elastic is seeking a dynamic, French-speaking Mid-Market Account Executive based in Montreal or Quebec City to serve the regional market. As an integral part of our growth strategy, you will play a key role in expanding our presence within Mid-Market customer accounts across the territory. This is an opportunity for those who are passionate about empowering companies through cutting-edge search technology and analytics, enabling them to unlock the full potential of their data. What You Will Be Doing: Drive the adoption of Elastic's AI-powered search solutions within new Mid-Market accounts and deepen our engagement with existing accounts. Position yourself as a trusted advisor, assisting users and customers in harnessing the full power of Elastic's search analytics to transform their data into actionable insights. Champion our Open Source offerings, articulating the value and capabilities of our advanced commercial features. Identify and develop new use cases, showcasing how Elastic’s solutions enable users to work more efficiently and intelligently. Collaborate closely with various Elastic business functions to ensure an exceptional customer experience. Proactively identify new business opportunities with customers, successfully navigating complex sales cycles. Develop a comprehensive business plan leveraging community, custome

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Are you looking to make a real impact and play a meaningful role in the growth of our company? As a Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and tackle our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be passionate about perfection; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing Serving as the technical point of contact for your accounts and account managers in your assigned territory. Developing a deep understanding of customers’ goals and objectives, and articulating how our offerings address their needs. Crafting and owning value based relationships at all levels in customer organizations. Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win. Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences. Advising the sales team on effective ways of positioning Elasti

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST