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Advanced Packaging Substrate Supplier Enablement Lead Jobs

2,125 active opportunities · Updated for October 2026

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Explore current advanced packaging substrate supplier enablement lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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17 days ago

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

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Glean
📍 Bengaluru• Full-time
17 days ago

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

sqlawsgit
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Glean
📍 Mumbai• Full-time
17 days ago

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

awsgitai
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Glean
📍 Bengaluru• Full-time
17 days ago

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

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Guidepoint
📍 Toronto• Full-time• C$135K – C$210K/yr
17 days ago

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

pythonreactaws
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Guidepoint
📍 Toronto• Full-time• C$135K – C$210K/yr
17 days ago

Overview: Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production

pythonreactaws
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TI
TEGNA India
📍 Bengaluru• Full-time
17 days ago

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Operation Analyst Position Overview TEGNA is looking for Operation Analyst to join the dynamic engineering team. This role is responsible for the day-to-day monitoring, support, and operational stability of TEGNA’s technology platforms, including broadcast, streaming, and OTT systems, while providing advanced helpdesk support to end users and business-critical applications. The position works closely with distributed IT teams, streaming, and digital teams, as well as vendors and service partners, to resolve incidents, manage tickets, and maintain service levels in a 24x7 support environment. Clear documentation, effective communication, and ownership of issues from intake through resolution are critical to ensuring reliable linear and digital content delivery. What You’ll Do Handle and resolve ServiceNow support tickets from intake to closure within defined SLAs. Provide Tier 1 & Tier 2 technical support for PC, Mac, Android, and iOS devices. Support collaboration platforms, workstreams, and AI tools. Monitor critical systems and applications proactively to prevent service disruptions. Perform routine health checks, respond to alerts, and provide operational support. Troubleshoot incidents and perform root cause analysis for recurring issues. Document resolutions, workarounds, SOPs, and knowledge base articles in ServiceNow. Maintain operational documentation and improve knowl

awsazuregcp
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Capco
📍 India• Full-time
17 days ago

JD - Financial Accounting Preparation & consolidation for Annual Reports & accounts Strong analytical skills for variance analysis. Preparation of advanced level Analytical Review (“AR”) and Group Review Schedules (“GRS”) for Regional submission on quarterly basis Review and Approval of all journals Strong technical knowledge of Accounting and reporting principles. In-depth functional experience in accounting for all balance sheet / income statement heads Ability to meet KPI timelines including under stringent time lines and high pressure situations Excellent communication skills to be able to manage the In-country team on a daily basis. Drive new projects/assignments/process: Identify, Drive, Build & operate it as BAU The ability to work to a high degree of accuracy under pressure is important as during the reporting periods the team is required to meet tight deadlines. Ability to prioritize and plan work in an efficient manner Performing UAT/Dry Runs on different Change requests Reporting & Data Management - Experience in Data mining, analysis, Financial Statements, IFRS and Audit/Compliance Ability to plan and implement change to Business Frameworks, reporting hierarchies, allocation rules and mappings Good communication and ability to interact with multiple employee levels/business partners, etc. Strong relationship management skills across a diverse organization, especially with senior management Ability to understand, map and change reporting process-flows Experience of Visualization tools like Qlik Sense, Tableau, Power BI, Vizlib, Looker or similar tools will be added advantage Business Finance Actuals Reporting (Global, by region, by product, by segment) and BAU change initiatives Drive Reporting improvements incorporating feedback from CFO, business reviews, process changes from transformation initiatives that impact business reporting from time to time Data management processes that involve Submissions to Financial and report

pythonsqlai
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Sigmoid
📍 Bengaluru• Full-time
17 days ago

About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. The below role is for our Bengaluru office. Director – Data Science Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of han

pythonsqlaws
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OpenAI
📍 Washington• Full-time• Remote
25 days ago

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI for Government helps public-sector institutions use advanced AI responsibly to improve services and advance critical missions. The Partnerships team builds the external ecosystem and internal operating mechanisms required to deliver that work at scale. Role Summary We are seeking a Partnerships Operations Lead to build and run the operating foundation for OpenAI for Government’s Partnerships team. This person will serve as the operational connective tissue across the partner team, working closely with Account Directors, Solutions Architects, Revenue Operations, Deal Desk, and other cross-functional stakeholders to move opportunities from initial engagement through agreement and execution. They will help ensure a smooth handoff to Technical Success across accounts by establishing clear readiness criteria, capturing the right commercial and customer context, and aligning teams on partner roles, commitments, dependencies, and success outcomes. The ideal candidate is a true utility player who combines the relationship instincts of a growth oriented builder with the rigor of an exceptional business operator. They thrive in ambiguity, create processes that do not yet exist, and move fluidly between deal execution, workflow design, analysis, and cross-functional coordination. Key Responsibilities Own the end-to-end operating cadence for partner-sourced and partner-influenced opportunities, from intake and qualification through approvals, contracting, launch, and expansion. Build and continuously improve operating processes, standard procedures, stage gates, decision rights, and service expectations that make partner execution faster and more predictable. Operationalize new and existing government partner motions—including cloud providers, resellers, and sell-through models—by translating requirements that differ from standard commercial motions into clear work

REMOTEawsrestai
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O
26 days ago

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

awsrestai
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OpenAI
📍 San Francisco• Full-time• Remote
27 days ago

About the Team The Strategic Futures team is a small, research- and writing-focused group exploring how advanced AI could reshape public policy, institutions, and society over the long term. We operate like an internal think tank: developing clear views of desirable long-range outcomes, examining the choices that could make those outcomes more likely, and producing ideas that help OpenAI and the broader public navigate profound technological change. The team is intentionally lean and highly collaborative. Our work draws from public policy, law, economics, political science, history, institutional design, technology, and other relevant disciplines. We partner closely with experts across OpenAI to connect long-range thinking with evolving AI capabilities, organizational priorities, and real-world policy questions. About the Role We are looking for a highly organized and strategic operator to serve as Chief of Staff and Program Manager for the Strategic Futures team. Working closely with the team’s leader, you will translate broad priorities into coordinated execution, establish the systems and operating rhythms that keep a small team performing at a high level, and ensure important work moves forward with clarity and consistency. This is a hands-on role combining chief-of-staff partnership, program management, strategic planning, cross-functional coordination, and communications. You will make it easier for the team to focus on high-quality research and writing by ensuring priorities are clear, decisions are documented, dependencies are visible, collaborators are engaged, and follow-through is reliable. You will also serve as a central connector between Strategic Futures and teams across OpenAI, helping the group build trusted relationships, navigate organizational complexity, and contribute effectively to broader company priorities. In this role, you will: Partner closely with the leader of Strategic Futures to translate the team’s strategic direction into clear prio

REMOTEawsrestai
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Adani Group
📍 Mumbai• Full-time
27 days ago

To lead the design, integration, implementation, and optimization of advanced security automation systems across projects, ensuring robust site security through seamless deployment of Access Control, CCTV, Facial Recognition, and Perimeter Intrusion Detection solutions. The role is responsible for driving technology innovation, system reliability, stakeholder coordination, and project execution while establishing a centralized and intelligent security ecosystem that enhances operational effectiveness and risk mitigation. Source: Adani Group | Job ID: 56027

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OpenAI
📍 San Francisco• Full-time• Remote
1mo ago

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Power Execution team owns the strategy and execution required to secure reliable, scalable, and economically resilient power for OpenAI’s global data center portfolio. The team sits at the intersection of commercial, technical, policy, legal, and operational work, partnering across OpenAI and with utilities, grid operators, regulators, counterparties, and public-sector stakeholders. About the Role The Energy Regulatory Lead will own energy regulatory strategy and execution for OpenAI’s infrastructure growth. This role will be the primary bridge between the Power Execution team and Public Policy and Government Affairs on energy regulatory matters, ensuring that OpenAI’s external engagement is grounded in project realities and that changing policy and regulatory conditions are translated into actionable infrastructure decisions. This is an individual contributor lead role and does not have direct reports initially. The role combines portfolio-level regulatory positioning with transactional regulatory work: evaluating jurisdictional pathways, supporting utility and energy transactions, coordinating approvals and filings, and helping project teams navigate tariffs, interconnection, load-service requirements, market rules, and regulatory risk from diligence through execution. In this role, you will: Develop and maintain OpenAI’s energy regulatory strategy across priority U.S. markets and, as needed, emerging geographies for infrastructure expansion. Coordinate closely with Public Policy and Government Affairs to shape energy regulatory priorities, engagement plans, messaging, and positions before utilities, public utility commissions, grid operators, state energy offices, and other relevant policymakers. Translate project requirements—load size, timing, reliability, cost, carbon, and expansion needs—into clear regulatory objectiv

REMOTEawsrestai
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