Manager Data Center Operations Jobs

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity You will be a key partner to our General Managers and North America leadership across the Sales and Operations organizations. This is a role with both a strategic and a tactical edge: you’ll drive forecasting, planning, closing the books, and own the day-to-day tasks that keep the business moving. You’ll also play a key role in our AI transformation, working cross-functionally, with our accounting and data analytics teams to design and automate workflows across the enterprise. If you want to work at the cross section of global trade, technology and modern finance you belong here. You Will: Partner with Sales & Operations Leadership: Serve as the strategic finance partner to GMs and NA leadership, monitoring trends, communicating performance, and empowering operators to manage their business with clarity and confidence. Drive Business Outcomes Cross-Functionally: Operate at the intersection of strategy and execution. Translate commercial and operational questions into analysis that drives decisions, and work across teams to unblock bottlenecks and prioritize opportunities by impact. Improve & Automate: Lead process improvements beyond y

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking a highly skilled Senior Incident Response Analyst to lead advanced threat detection, investigation, and remediation efforts within our Security Operations program. This role is responsible for handling complex security incidents, guiding junior analysts, improving detection capabilities, and strengthening our overall security posture. The Senior Incident Response Analyst brings deep technical expertise, strong analytical thinking, and a proactive mindset toward defending the enterprise.

About the job Who are we? About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About The Team The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand Stripe’s portfolio of operational capabilities to support the scaled needs for external users and internal Stripe teams. Stripe’s People & Places Operations team will sit within the SDC and is a highly collaborative, cross-functional team that drives key support for the People and Places function. We work with many different teams at Stripe. We are nimble and flexible individuals that can wear many different hats. We don’t mind working through ambiguity and love adding organization to chaos. We believe that success is not defined by any one individual, but rather by the collective work of the entire team. Key Responsibilities Provide strategic HR leadership to HR Operations. Effectively manage, develop and engage the global team Ensure an exceptional employee experience by simplifying key processes Lead and implement HR initiatives and projects which are aligned within HR and Centers of Expertise (COE) Coordinate and lead key projects for improvement across HR Identify best practices that can be applied to improve work tasks and processes Deliver service improvement activity across HR through employing process improvement methodologies and the application of innovative thinking Promote and lead change Supports the administration and maintenance of HR systems while driving process and data integrity across the HR landscape P

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. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

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. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity We're looking for a Senior Ocean Planning Associate based in our Bangkok office, to take ownership of space planning, carrier booking, and allocation management for Flexport's Thailand export gateway focusing on the TPEB (Transpacific Eastbound) tradelane. You'll be at the center of coordination between our internal teams, carrier partners, and clients to ensure every container sails as planned. This role is ideal for someone who's built strong relationships with carrier offices or has hands-on experience in carrier customer service. You'll combine operational excellence, market understanding, and a data-driven mindset to help us scale Flexport's ocean freight network efficiently. What You Will Do 1. Ocean Planning & Execution Manage the full cycle of shipment planning and bookings — from forecasting and allocation control to SO release. Coordinate daily with Account Management, Procurement, Allocation & Yield, and carrier offices to secure capacity and protect critical shipments. Maintain accurate space visibility across Flexport systems (e.g., FFA, Fulfillment Management Tool - FMT) and sailing schedules. Drive optimal space utiliza

Job Overview Wargaming’s Center for Player Insights is hiring an experienced UX Researcher to champion player needs and inform product decisions across live-service and in-development titles. You will partner closely with game teams, including UX Design, Game Design, Product Management, and Product Analytics, to frame research questions, select the most suitable methods, and run both in-lab and remote UX research studies. You’ll synthesize findings into clear, actionable recommendations that influence roadmaps and player experience quality. Reports to Director of Player Insights What will you do? Plan, design, and run research across the product lifecycle, including usability testing, playtesting, longitudinal or diary studies, concept testing, focus groups, and one-on-one interviews, both in person and remotely. Translate stakeholder questions into clear business goals and research objectives. Define research hypotheses and sampling plans. Manage studies end-to-end, including scoping, design, recruiting oversight, moderation, analysis, reporting, and presentations. Drive timelines and keep stakeholders aligned across multiple projects. Partner with Research Operations on participant recruitment and incentives, and lab or remote setups. Uphold research ethics and data privacy best practices. Synthesize and communicate actionable insights and recommendations tailored to game teams, ensuring findings are clear, prioritized, and easy to act on. Contribute to the Center for Player Insights’ research strategy and evangelize user-centric development across Wargaming. Stay current on industry trends and play Wargaming titles to build deep product understanding. Be willing to occasionally adjust working hours for participant availability with advance notice, including late evenings on weekdays. What are we looking for? 2+ years of hands-on UX or user research experience in a business environment, with demonstrated end-to-end ownership of studies, independently scopin

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are seeking a Staff Full Stack Software Engineer to join the Advisor Experience team as our Technical Lead. Our team is focused on building tools for financial advisors to grow and sustain their business. We oversee bespoke products for advisors and develop advisor-focused capabilities throughout the Addepar platform. In this role, you will be the primary technical anchor for new capabilities including Secure Message Center — a compliant messaging experience built into Addepar's client portal that allows advisors and their clients to communicate directly within the platform. You will partner directly with Engineering Leadership and Product Management to build a modern, scalable architecture from the ground up. Beyond system design, you will act as a true engineering multiplier: setting technical standards, mentoring junior and mid-level engineers, and working alongside other senior engineers and AI specialists to deliver high-impact advisor tools. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employme

About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. This role will be a key player in planning our monthly, daily, and hourly staffing levels and ensure we’re providing our customers with best-in-class service with up to date hiring plans. This role will play a vital part in improving forecast accuracy, reporting, and planning around floor staff utilization and efficiency. You’re excited about this opportunity because you will… Build and maintain support capacity plan models at a monthly, weekly, and interval level for a large, 24/7/365 organization. Forecast incoming contacts based on Delivery volume, Mx and Dx onboarding. Analysis on historical data to provide insights that improve support operations. Guide Short-Term staffing adjustments to address current staffing gaps. Work with our operations team to track how our staffing is being implemented and optimized. Make proactive and corrected improvements. Partner with Real Time Analysts for

About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. This role will be a key player in planning our monthly, daily, and hourly staffing levels and ensure we’re providing our customers with best-in-class service with up to date hiring plans. This role will play a vital part in improving forecast accuracy, reporting, and planning around floor staff utilization and efficiency. You’re excited about this opportunity because you will… Build and maintain support capacity plan models at a monthly, weekly, and interval level for a large, 24/7/365 organization. Forecast incoming contacts based on Delivery volume, Mx and Dx onboarding. Analysis on historical data to provide insights that improve support operations. Guide Short-Term staffing adjustments to address current staffing gaps. Work with our operations team to track how our staffing is being implemented and optimized. Make proactive and corrected improvements. Partner with Real Time Analysts for

About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. This role will be a key player in planning our monthly, daily, and hourly staffing levels and ensure we’re providing our customers with best-in-class service with up to date hiring plans. This role will play a vital part in improving forecast accuracy, reporting, and planning around floor staff utilization and efficiency. You’re excited about this opportunity because you will… Build and maintain support capacity plan models at a monthly, weekly, and interval level for a large, 24/7/365 organization. Forecast incoming contacts based on Delivery volume, Mx and Dx onboarding. Analysis on historical data to provide insights that improve support operations. Guide Short-Term staffing adjustments to address current staffing gaps. Work with our operations team to track how our staffing is being implemented and optimized. Make proactive and corrected improvements. Partner with Real Time Analysts for

About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. This role will be a key player in planning our monthly, daily, and hourly staffing levels and ensure we’re providing our customers with best-in-class service with up to date hiring plans. This role will play a vital part in improving forecast accuracy, reporting, and planning around floor staff utilization and efficiency. You’re excited about this opportunity because you will… Build and maintain support capacity plan models at a monthly, weekly, and interval level for a large, 24/7/365 organization. Forecast incoming contacts based on Delivery volume, Mx and Dx onboarding. Analysis on historical data to provide insights that improve support operations. Guide Short-Term staffing adjustments to address current staffing gaps. Work with our operations team to track how our staffing is being implemented and optimized. Make proactive and corrected improvements. Partner with Real Time Analysts for

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for a Principal AI Engineer, who craves variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Own the target-state architecture for Smartsheet's AI platform, defining the standards that bind Data, Agents, Knowledge Graph, Context Graph into one coherent system. Set the architecture for the agent harness and sub-agent framework including orchestration, lifecycle, hand-off contracts, Evals (Offline and Online) and capability-tier classificati