Technical Support Specialist Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Support is committed to providing world-class solutions that inspire customer confidence and ensure business continuity. The DSE is a trusted technical partner to our Priority Support customers with a strong AI-first mindset, customer management skills & technical acumen. The role will lead the drive to reinvent and transform Priority Support into a deeply engaged, proactive offering that delivers high value throughout the customer’s post-go-live journey. The DSE role blends deep technical expertise with account engagement and service delivery. The DSE provides hands-on engagement to bridge complex business problems with Snowflake’s technology solutions. The DSE partners with the customer and internal Snowflake teams to drive quick resolution of reported issues, with a focus on future case deflection and WAF principles that ultimately strengthen customer trust in Snowflake. AS A DESIGNATED SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL IMPACT AND CONTRIBUTE TO THE SUCCESS OF OUR CUSTOMERS: Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. Deep understanding of the customer's product integration architecture and workloads. Design, revi

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. The Technical Implementation Consultant guides the customer through the implementation of D&B integrated products and D&B connectors. The role does not involve hands-on technical development but requires strong technical knowledge and mentoring skills to support the customers’ technical resources by providing best practice advice and issue resolution during the customer’s implementation phase. The Technical Implementation Consultant manages each implementation as a small project individually, or as resource in part of larger projects. They will work closely with internal stakeholders to maintain high level of knowledge in the integrated and connector products. The aim of a Technical Implementation Consultant is to ensure customer satisfaction by making sure that customer starts realizing value with their contracted products efficiently running in their live setups.

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Manager, Personalized Support (EMEA). About the job The Personalized Support Manager is responsible for the performance of Twilio’s products and will manage a team of global Personalized Support Engineers while working in the EMEA time zone. The Manager in this role collaborates with Engineering, Supportability, Product, Readiness and other cross functional teams to enable customers and Technical Account Managers. Responsibilities In this role, you’ll: Lead and Develop: Coach and lead a team of Personalized Support Engineers (PSEs) supporting strategic customers. Bring out the best in team members with a focus on their professional growth, technical enablement, and overall well-being. Drive Customer Value: Oversee how the PSE team assists TAMs and customers to resolve complex technical issues, deliver proactive guidance, and champion the customer’s needs within Twilio. Optimize Operations: Continuously evalua

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Cloud Support Engineer — AI/ML & Programmability (Night Shift) Location: Pune, India Snowflake's Support team is expanding. We're looking for a Cloud Support Engineer who enjoys working with data and solving a wide variety of problems, drawing on hands-on experience across operating systems, database technologies, big data, data integration, connectors, and networking. Our mission is to make Snowflake the preferred platform for running all AI, ML, data science, and data engineering workloads. You'll join a highly productive, fast-moving team supporting Snowflake Cortex and our ML product lines — work that is central to delivering on Snowflake's AI Data Cloud mission. Snowflake Support is committed to providing high-quality resolutions that help customers deliver data-driven business insights and results. We are a team of subject matter experts working collectively toward our customers' success, building partnerships by listening, learning, and connecting. Snowflake's values shape how we deliver world-class Support: putting customers first, acting with integrity, owning initiative and accountability, and getting it done. As a Cloud Support Engineer, you'll be the technical partner our customers turn to for guidance on using Snowflake effectively. You'll also be the voice

We anticipate the application window for this opening will close on - 17 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Cranial and Spinal Technologies develops technologies and therapies used in neurosurgery, spine surgery, biologics, navigation, robotics, and enabling technologies that support patient care across a broad range of cranial and spinal procedures. This role is part of the technical publications function and is responsible for creating and maintaining Instructions for Use (IFU) and related customer-facing documentation that support the safe and effective use of advanced imaging products. Check us out on LinkedIn: Medtronic CST This position is based in Lafayette, Colorado, and requires an on-site work arrangement. Occasional domestic and international travel may be required, with expected travel less than 10%. The Senior Technical Writer develops, maintains, and manages Instructions for Use (IFU) and related technical documentation for advanced imaging products. This role collaborates with engineering, marketing, regulatory, and quality teams to gather information, translate complex technical concepts into

Leidos has an exciting opportunity for a Lead Technical Project Manager (TPM) in our Enterprise Science Business Area specifically supporting our NASA customer. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, Immediate Vesting in our 401K, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in NASA’s Mission! The Lead Technical Project Manager leads complex technical initiatives while also overseeing and guiding a team of Project Managers to ensure successful planning, coordination, and execution. This is a working Lead position, responsible for directly managing complex technical projects while also optimizing team performance, developing the technical capabilities of the TPM team, resolving cross-project challenges, managing resources, and maintaining consistent delivery standards across all efforts. PRIMARY RESPONSIBILITIES: Lead technical planning, architecture alignment, schedule management, and execution across one or multiple NASA projects. Ensure project activities integrate engineering constraints, system lifecycles, technical readiness, and solution architecture. Identify and diagnose technical blockers, working directly with engineering and technical SMEs to enable faster issue resolution and to reduce schedule delays. Understand and challenge technical decisions and workflows rather than simply relaying them administratively. <sp

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: As a Technical Project Manager at Zinnia Digital, you will be responsible for overseeing the successful completion of projects or programs within our technology organization. Partnering with the product team as well as cross-functional software engineering teams to ensure value delivery for stakeholders. Facilitating timeline and dependency management as well as budget understanding. Additionally, facilitating project team success and adherence to best practices. WHAT YOU’LL DO: Day-to-day partnership with product management team. Plan and oversee multiple technology projects, ensuring they are aligned with overall timeline. Support dependency management processes. Exhibit exceptional organizational skills. Facilitate and adhere to PMO governance. Lead and manage projects at an executive level. Develop project plans, including project scope, schedule, budget, and resource allocation. Manage project teams, including cross functional engineers, QA, and other technical staff. Communicate with various stakeholders, including management, project sponsors, and clients, to ensure that project goals, timelines, and dependencies are understood and met. Participate and/or facilitate various ceremonies such as backlog refinement and planning. Leverage Agile experience to increase team throughput, transparency, and collaboration. Identify and manage project risks, including developing contingency

Urgent Requirement Address: 10th Floor, B/2, West gate business bay, corporate road, off. S G Highway, makarba, Ahmedabad Facility: ADANI SUPPORT NAD Qualification: Not Specified Experience: 6 - 7 years Source: Sodexo India | Job Code: IJP524234

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collecti

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll own the full lifecycle of a machine, from accepting and benchmarking new hardware from a growing set of providers, to network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation of unhealthy hosts. You'll manage a team of 3–8 engineers while staying hands-on across the stack which involves BMCs, firmware, PXE, bootloaders, Linux networking, drivers, and distributed control-plane services, and you'll shape our long-

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll set technical direction for the primitives that other teams (filesystems, training, sandboxes) build on, balancing durability, latency, throughput, and cost. You'll own the roadmap from today's hardest problems (garbage collection at petabyte scale, active-active replication, rate limiting that protects the upstream without wasting ut

Composite Technical Analyst (Associate, Experienced) Company: The Boeing Company At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking an Composite Technical Analyst to support our Composite Materials & Structures (CMS) team located in North Charleston, SC. Our teams are currently hiring for a broad range of experience levels including: Associate, and Experienced level Composite Technical Analyst. CMS is a research and development organization within the Engineering & Technology Innovation (E&TI) division focused on technology development of composite fabrication techniques and next generation material systems. The team matures technology through testing, analysis, and demonstration for the intent of transitioning to existing or future Boeing platforms. In our state-of-the-art composite fabrication labs, our engineers and technical analysts lead and execute a variety of composite materials & fabrication development projects, transforming ideas into reality. We work closely with other E&TI groups, Boeing Commercial Airlines (BCA) Product Development (PD),BCA Airplane Program teams, and Boeing Defense & Space counterparts to identify, develop and transition technology needs to Boeing products. As a Composites Technical Analyst, you will work both independently and collaborate with experienced peers to conduct hands-on composite material testing and analysis, fabricate developmental parts and/or test articles, and execute laboratory operatio

The LPU Software Team is seeking a Technical Program Manager to lead software initiatives across the LPU SDK. In this role, you will partner with engineering and cross-functional teams to define program plans, align priorities, manage dependencies, and drive execution. You will identify risks, remove obstacles, and ensure teams deliver high-quality software on schedule that meet our customers needs. What You'll Be Doing: Build and implement execution plans to ensure we meet the needs of the business Build relationships and work closely with partners across NVIDIA Own all aspects of technical program management – planning, forecasting, documenting, scheduling, running effective meetings, prioritization, dependency management, reporting, and escalations Build and own metrics for measuring program efficiency, collect and analyze data in support of planning and data driven decisions Report on overall program status, providing insights and recommendations to senior management Work with multi-functional matrixed teams - guide teams crafting for sophisticated, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions Serve as liaison between developers and customers, connecting those with and without technical backgrounds. Promote continuous improvement by identifying process enhancement opportunities. What We Need To See: Bachelor’s degree (or equivalent experience) in a related field with proven program management expertise and proficiency in technical and management practices 3&#43; years program management experience including proven ability managing enterprise software products Demonstrated skill in eng

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director Product Management - Technical About Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations help individuals, financial institutions, governments, and businesses realize their greatest potential. Role Summary We are looking for a **Principal Product Manager – Technical** to lead product strategy and execution for **global, real‑time switching and authorization platforms**.In this role, you will own the vision, roadmap, and delivery of **mission‑critical transaction processing capabilities** that operate at massive scale with strict requirements for availability, latency, resiliency, and correctness. You will work closely with engineering, architecture, operations, and business leaders to deliver platforms that support billions of transactions and enable reliable, secure payment experiences worldwide. This is a **senior individual contributor role** with broad influence across teams, regions, and portfolios. What You’ll Do Product Strategy & Vision* Define and own the long‑term product vision and strategy for switching and authori