Senior Workforce Development Program Manager 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. We are hiring a Senior Software Engineer across our Identity, Data Security and Trust organization. These teams builds the security backbone of Snowflake — enabling customers to confidently bring their most sensitive data and workloads to the Data Cloud, empowering every Snowflake engineer to deliver the most secure platform at scale, and giving customers the tools to monitor, achieve, and maintain a strong security, governance, privacy, and compliance posture. As the agentic era accelerates, these teams are at the forefront of building AI-native security capabilities that protect the world's data. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design and implement critical AI security capabilities — including controlled, audited agent workflows, MCP server and client security, agent identity frameworks, and admin guardrails — that form the foundation for secure agentic enterprise adoption Build and evolve foundational identity and access management systems, including authentication protocols, SSO integrations, multi-factor authentication, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC that scales to millions of objects and users Design and develop core security infrastructure spanning secret management, key management, service identity, and end-to-end encryption acro

The Datadog Security design team (K9 Design, as we lovingly call it) is hiring a senior product design manager to lead design across our security products. This is a chance to shape an industry-leading experience for a new kind of Datadog user: security practitioners who need to catch threats where they start, stop them when they land, and shut down exposures before they turn into something worse. You'll lead a team of designers at various stages of their careers across cloud, code and data security, turning an overwhelming amount of signal into something a security team can act on. The goal: build the security product people want to spend their day in. You'll own the design, push for excellence, and partner closely with Product and Engineering leadership to get there. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you’ll do Lead design direction across your team's products, and hold the bar for design excellence end to end: interactions, visual detail, consistency and cohesion. You're in the work. Run critiques, give direct and useful feedback, and push the team toward bolder, more opinionated solutions rather than safe ones. Coach and grow designers across our Paris, Madrid and New York offices, helping each of them do the best work of their careers. Help define a security design system built on top of Datadog's existing components, with the security practitioner's workflows in mind. Partner with Product and Engineering leaders to evolve cross-platform thinking, shape roadmaps, and to set how the three disciplines work together day to day. Take accountability for the product and business outcomes your team's design work influences. Bring AI fluency to how your team works, from how design gets explored and validated to how it gets shipped. Who you are 10+ years i

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems. Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage. Build tools that help teams assess signal importance and make informed lifecycle decisions. Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata. Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data. Drive complex projects end to end from technical planning an

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana About the Team Logistics Service Providers (LSPs) sit at the center of global trade. Freight forwarders, customs brokers, carriers, and 3PLs touch millions of shipments and connect shippers, suppliers, and governments. The LSP Platform team builds the products that let these companies run on Altana's network, so they can screen and clear shipments faster, protect their customers from risk and delays, and offer new trade intelligence services to the shippers they serve. About the Role As an Agent Product Manager, you'll be working closely with our strategic LSP customers in-country, working from their offices, alongside their brokers, compliance analysts, operations leads, and IT teams. You are the product owner for Altana within the account: you understand how their business actually runs, decide what Altana should do for them, and make sure it gets deployed, adopted, and expanded. You'll partner closely with our Technical Account Managers to set the strategic direction and roadmap for each account. Together, you'll define where Altana fits in the customer's operations today, where it should go over the next 12 to 24 months, and what it takes to get there. You own the product vision for the account and the outcomes it produces. You Will Work onsite with customers. Spend significant time at customer sites, learning their business models, operations, and customer relationships across forwarding, brokerage, and carriage, including the workarounds nobody writes down. Build a deep understanding of LSP business models, operations, and customer relationships across forwarding, brokerage, and carriage, and turn that into clear product priorities. Set success metrics tied to customer impact, such as fewer holds and detentions, faster clearance, lower compliance co

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana About the Team Logistics Service Providers (LSPs) sit at the center of global trade. Freight forwarders, customs brokers, carriers, and 3PLs touch millions of shipments and connect shippers, suppliers, and governments. The LSP Platform team builds the products that enable keeping up with the rapid pace of government regulation, and modernizing the business processes by engaging in Altana's network. With these tools, LSPs can run a fully agentic, collaborative and cutting edge customs process covering everything needed to screen and clear shipments faster, protect their customers from risk and delays, and offer new trade intelligence services to the shippers they serve. About the Role As Senior Product Manager for the LSP Platform, you'll own the roadmap for one of Altana's most strategic product areas. You'll work directly with some of the world's largest logistics companies to understand how goods move, where compliance and risk create friction, and how Altana can remove it. Your job is to embed Altana into the daily workflows of LSPs so it works as a native capability. You'll also turn LSPs into multipliers for the Altana network. You'll partner with engineering, design, data science, and our go-to-market teams to ship features that make a measurable difference for customers. You'll be accountable for adoption, usage, and customer outcomes. You Will Define the roadmap for Altana's LSP products, balancing near-term customer commitments with long-term platform bets. Build a deep understanding of LSP business models, operations, and customer relationships across forwarding, brokerage, and carriage, and turn that into clear product priorities. Set success metrics tied to customer impact, such as fewer holds and detentions, faster clearance, lower com

Become a part of our caring community The Senior Data & Reporting Professional supports the Michigan Integrated Long-Term Services and Supports (MI LTSS) program through advanced analytics, operational reporting, performance monitoring, regulatory compliance reporting, and strategic data management. You will transform complex clinical, operational, quality, and financial data into actionable insights that support program oversight, state contract compliance, quality improvement initiatives, and executive decision-making. Your work assignments involve moderately complex to complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You will work independently, exercises considerable latitude in determining objectives and approaches to assignments, and begin to influence departmental strategy. The Senior Data & Reporting Professional partners closely with LTSS Care Management, Utilization Management, Quality, Finance, Compliance, Provider Operations, and Market Leadership to monitor program performance, identify operational opportunities, and support achievement of LTSS program requirements. Develop and maintain operational, clinical, quality, compliance, and executive dashboards supporting the MI LTSS program. Integrate and validate data from multiple systems, including care management platforms, quality monitoring tools, provider networks, claims data, assessment systems, and regulatory reporting sources. Create recurring and ad hoc reports supporting operational performance, regulatory compliance, quality improvement initiatives, and strategic program planning. Monitor LTSS performance indicators including Health Risk Assessments, InterRAI assessments, Nursing Facility Level of Care Determination (NFLOCD) completion, Person-Centered Service Plans, Integrated Care Team (ICT) participation,

We anticipate the application window for this opening will close on - 31 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 At Medtronic Neuroscience, we bring innovation, expertise, and purpose together to improve outcomes and transform lives for people living with neurological, spine, and chronic pain conditions. Medtronic Neuromodulation and Pelvic Health (NMPH) deliver innovative, evidence-based therapies that help restore function, relieve chronic conditions, and improve quality of life. Through personalized, minimally invasive neuromodulation treatments, we empower patients to regain independence, confidence, and control, enabling better outcomes and helping them live life more fully. This role is part of NMPH Advanced Manufacturing Engineering function, supporting the development of next-generation implantable medical devices. The team partners closely with Research & Development, Design Engineering, Materials Engineering, and manufacturing organizations to evaluate manufacturing feasibility, develop innovative process technologies, and transition scalable manufacturing solutions from concept through commercialization. Based in Fridley, Minnesota, this is an onsite position supporting hands-on laboratory, prototyping, and manufacturing development activities. The role focuses on advanced manufacturing technologies including laser processing, precision joining, hermetic

Work Flexibility: Hybrid Position Summary The Network Security Engineer is responsible for designing, reviewing, implementing, and supporting enterprise network security architectures to protect the organization’s infrastructure, applications, and external connectivity from cybersecurity threats. This role combines strong network security engineering and architecture expertise with hands-on cybersecurity operations experience. The ideal candidate can independently assess network security risks, design appropriate security controls, and support security investigations in collaboration with Cybersecurity, SOC, and Incident Response teams. The role focuses on securing Internet-facing applications, DMZs, extranets, third-party connectivity, network segmentation, and enterprise security boundaries. This is a cybersecurity-focused engineering position, not primarily a network infrastructure support or firewall administration role. What will you do: Design, review, and implement secure network architectures for enterprise, cloud, hybrid, and remote environments. Evaluate and secure DMZs, extranets, Internet-facing applications, third-party connections, and external access pathways. Identify network security risks and define appropriate technical controls, including firewall policies, segmentation, access restrictions, encryption, monitoring, and compensating controls. Establish and maintain security zones, network segmentation, and trust boundaries to reduce unauthorized access and lateral movement. Engineer and manage enterprise security technologies, including Next-Generation Firewalls (NGFW), VPN, IDS/IPS, Network Access Control (NAC), and related perimeter security solutions. Investigate suspicious network activity and support cybersecurity incident response by analyzing firewall

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. Join Micron’s Planning Manufacturing team, where you’ll contribute significantly to preparing and growing our next-generation memory fabs! You will engage with Manufacturing, R&D, and Supply Chain to convert complex data into clear decisions that support high volume production. If you enjoy addressing real problems that directly improve factory performance, this team delivers! In the role of the AI Enablement Industrial Engineer, you will support production readiness at Micron’s high-volume memory fab in Boise, Idaho. Tasks include crafting and deploying AI tools that translate manufacturing changes into capacity insights, building scalable AI planning tools, and providing data-driven recommendations to senior leaders. You will integrate advanced AI analytics and automation to improve capacity management. These results will increase forecast accuracy, accelerate decisions, and optimize resource use for a successful ramp and ongoing operations. Responsibilities: Drive equipment availability and utilization to improve fab capacity Develop and implement AI tools, model capacity impacts of new tools, process changes, and roadmap decisions Build and automate planning models through generative AI tools and Python, SQL, R, Excel, or VBA Build and maintain site capacity and utilization models to optimize deployed capital Communicate recommendations and improvement proposals through dashboards and executive presentations Min

Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure NVIDIA is hiring engineers to build and scale the infrastructure that supports our Electronic Design Automation (EDA) workloads. We are looking for engineers with strong programming skills, a deep understanding of distributed systems, experience operating large-scale production infrastructure, and excellent communication and planning abilities. You will help design reliable automation and platform services that manage large fleets of GPU-based and CPU-based compute systems used by engineering teams across NVIDIA. The ideal candidate is comfortable working across software, operating systems, cluster schedulers, networking, storage, and physical hardware. You should enjoy solving complex operational problems, eliminating repetitive work through automation, and building systems that remain reliable as infrastructure grows. If you are creative, pragmatic, and motivated to improve how critical engineering workloads are delivered, we would like to hear from you. What You Will Be Doing: Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure. Develop monitoring, health-management, and remediation systems that improve the reliability, availability, and utilization of EDA compute environments. Automate hardware deployment, operating-system configuration, firmware and software updates, cluster enrollment, and recovery workflows. Build reliable services and workflows that integrate with workload schedulers, infrastructure management systems, and observability platforms. Use hardware diagnostics, operating-system signals, scheduler data, and network and storage telemetry to identify

NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware. What you’ll be doing: Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals Build and maintain automation to eliminate manual toil and scale output without scaling effort Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation Consult with and provide consultation for peer teams on systems design best practices What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience Experience coding in Python and/or Go. Note : you must be able to produce code without AI assistance during the interview process. Experience with infrastructure automation and distributed systems design Experience developing tools for running large scale private or public cloud systems in production In depth knowledge of Linux systems and Containers A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others. <

Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository. What you'll be doing: Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs. Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback. Eliminating configuration drift across cells, and building the tooling that keeps it eliminated. Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare. Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head. What we need to see: BS or MS in Computer Science or equivalent experience. 6&#43; years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable. Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback. Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it. Exper

We are seeking a Linux Systems Engineer to join our Infrastructure Engineering team, dedicated to supporting high-performance EDA compute farms. You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads. You will drive automation initiatives, and build robust tooling to support a highly available and scalable infrastructure. What you'll be doing: Linux Infrastructure Engineering: Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments. End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g. Ansible and Terraform . Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry. Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads. What we need to see: Linux Internals: 8&#43; years of deep systems engineering experience working with RPM-based Linux distributions. Bachelor's degree or equivalent work experience. Infrastructure as Code: Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus. Virtualization and Container Architecture: Deep understanding of virtualization and container internals

Job Requisition ID # 26WD100979 Position Overview We are seeking an experienced product and technical marketing professional with a mechanical design and engineering background to support and expand the Fusion design portfolio in EMEA. Autodesk Fusion brings CAD, CAM, CAE, PCB, PDM, and PLM together on one cloud platform at a price that puts professional tools within reach of every engineer and every shop. EMEA is home to some of the world’s most demanding design and manufacturing customers, and they don’t buy generic messaging. They buy from people who understand their workflows, their tools, and their constraints. You will own messaging and positioning for Fusion design in the region, develop technical assets, and produce enablement content that empowers our go-to-market teams to win against entrenched incumbents such as SolidWorks, Inventor, Onshape, NX, and Creo. This role requires someone who has worked as an engineer or designer, understands how products are modeled, simulated, documented, and released to manufacturing, and can translate technical capabilities into compelling business value. Ideal candidates will bring an experimentation mindset and continuously find ways to use AI to scale themselves and the team. Responsibilities Product Marketing Own the Autodesk Fusion design story and point of view for EMEA, including AI-enabled design workflows, adapting the global narrative to regional segments, industries

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: Design and develop firmware solutions for manageability and observability of data center servers. Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures Expert-level skills in C/C&