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POSITION SUMMARY: The Manager, Clinical Lab is a key leader in Natera’s lab operations who oversees and directs the development, planning, implementation and maintenance of manufacturing methods, processes and operations for new or existing products and technologies. The Manager works closely with groups to ensure strict compliance with good manufacturing practices and CLIA/CAP guidelines at all times. Ensures the effective use of materials, equipment and employees in producing quality products. Monitor and control staffing / labor, capital expenditures, and manufacturing performance. Develops budget and monitors expenditures. Formulates and recommends manufacturing policies, procedures and programs. Selects, develops and evaluates line-management to ensure the efficient operation of the function. PRIMARY RESPONSIBILITIES: Under the direction of Senior lab leadership, and in close collaboration with other Laboratory leadership, this individual provides operational and strategic leadership to laboratory products assigned to the individual. Generates and routinely provides executive-level production/departmental summaries. Monitors workflow and ensures production goals and deadlines are met (e.g. TAT, SLA) Engages in future planning and scales employees and equipment appropriately Gathers and monitors metrics on production deadlines, efficiency, scrap waste, and error rates Monitors the quality control/assurance programs, test results, and equipment (if applicable) Uses metrics in decision-making and to drive changes across the team (e.g. cost reduction, quality improvement) Manages sufficient headcount levels to meet production goals by proactively driving the interview process and managing employee PTO and overtime when necessary. Refines current lab process through continuous improvement projects. Oversees team-specific lab operations. Go-to person when Senior lab leadership is not present; go-to person for knowledge of pr

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

Datadog is hiring a Head of Global Executive Support to lead and scale our Executive Support organization. This is a leadership role responsible for the strategy, operations, and people development of a global team spanning Executive Assistants, Senior EAs, Team Leads, and Managers. The leader will serve as the connective tissue between executive leadership and the broader organization, helping to set the standard for operational excellence, building scalable systems, and developing the next generation of EA talent. Datadog's Executive Support team is a high-visibility, high-impact function that directly enables our most senior leaders to operate at their best. As the leader, you'll shape how the entire function runs; building a team culture grounded in excellence, discretion, and genuine partnership. The right person for this role brings deep expertise in executive-level support, a systems mindset, and a track record of leading high-performing administrative organizations. 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 and develop a global, multi-level executive assistant team Define the long-term vision and operating model for Executive Support at Datadog Drive headcount planning, resource allocation, and org design as the company scales Develop and maintain policies, playbooks, and documentation that standardize high-quality support across all executive stakeholders Identify and implement process improvements that increase efficiency and reduce friction across the organization Act as an escalation point for complex, high-stakes, or sensitive executive support needs Maintain discretion and judgment around confidential information at the highest levels of the organization Partner with Finance, Legal, People, and leaders across

Job Details: Job Description: As a Material Analysis (MA) Technician, you will be part of a Technology Development (TD) and High-Volume Manufacturing (HVM) lab responsible for performing material analysis and failure analysis in support of Intel's silicon process development and high-volume production. You will work on developing imaging, composition analysis and sample preparation techniques, and best-known methods (BKMs) to improve lab analysis quality, efficiency and output. You will directly interface with TD and HVM fab customers and quality/reliability engineers to develop solutions to problems by utilizing lab capabilities. The scope may include wafer and unit level, front-end modules and back-end/far back-end modules. Responsibilities may include but not be limited to: • Conducting hands-on analysis by effectively utilizing lab techniques, from sample prep micro-cleaver, ion mill etcher, mechanical polish to SEM/EDX, Dual beam FIB, TEM techniques to characterize Si fabricated structures at nanometer scales and integrated circuit device to improve process, performance and reliability; and to identify physical failure mode toward the root-cause identification. • Conducting hands-on data collection with various lab equipment’s, and assisting engineers to implement materials characterization techniques to determine fundamental thin film material structure/properties and to collaborate with process development engineers across functional areas and organizations to improve process performance and reliability. • Supporting and sustaining lab equipment. Ensuring that lab analytical capabilities needed to support advanced transistor and interconnect technology and/or product development are in place. Cooperating with other lab areas beyond local MA/FA (Failure Analysis) labs to achieve

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. This is a technical leadership role so you will participate in feature design and implementation. Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. What we need to see: 10+ overall years of experience in the software industry with specialization in HPC networking or system software. 4+ years of management experience. BS, MS, or Ph.D. in C

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Role Summary Replit is the world's most widely used AI coding platform, and as we scale, we're rebuilding how compensation works internally from the ground up. This role owns that. You'll go beyond traditional comp management to architect the systems, data infrastructure, and AI-enabled workflows that make fast, consistent, and high-quality compensation decisions possible at scale. You will serve as the architect of our compensation engine: translating compensation philosophy into scalable systems, and leveraging data, automation, and AI to improve speed, accuracy, and transparency. This role sits at the intersection of compensation, product, and systems design. You will partner closely with People Business Partners, Recruiting, Finance, People Operations, and the Data team to embed compensation directly into company workflows—eliminating manual processes and reducing reliance on comp as a service layer. You will shape how we attract, reward, and retain top talent, while building infrastructure that scales with the business. What you'll own Compensation Strategy Evolve our compensation philosophy across cash and equity; design and maintain salary bands, leveling frameworks, and equity structures Ensure market competitiveness while partnering with Finance on cost and workforce planning AI-Native Workflows Design and implement AI-enabled workflows for offers, merit, promotions, and market adjustments Build human-in-the-loop validation frameworks to audit AI-generated recommendations for bias, accuracy, and logic Decision Support & Analytics Operate compensation planning cycles and generate first-pass recommendations for comp decisions Build dashboards and analytical frameworks covering market competitiveness, interna

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're looking for an AI-native product growth lead to own Replit's entire paid acquisition and lifecycle marketing engine as the single DRI. This is an IC role for someone who builds systems, not just campaigns. Someone who uses AI and automation aggressively to do what traditionally requires an entire team. You don't need an engineering background. You need the instinct to build: when you see a repetitive task, you reach for Replit or an API before you reach for a spreadsheet. You'll have data science and data engineering partners for infrastructure and modeling, and brand marketing will set creative direction. Your job is to turn that direction into a closed-loop optimization system: a self-improving system that turns performance data into better creative, optimizes spend across channels in near-real-time, and compounds every insight so nothing learned is ever lost. Each cycle, the system gets smarter. That's the engine you'll build and own. The ideal candidate has deep channel expertise across paid search, paid social, and lifecycle, but their real edge is building AI-powered workflows that scale creative production, automate measurement, and compound institutional knowledge. You Will Own full-funnel performance marketing across paid search & social, ASO, and lifecycle Build a self-improving creative engine: AI-driven ad generation, testing, and iteration that scales without scaling headcount Maintain a persistent knowledge layer so every experiment, result, and creative insight compounds automatically into the next cycle Own conversion signal quality end-to-end: right events, right audiences, right attribution, partnering with DE on the infrastructure Run a structured experimentation program wher

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. We are looking for a Security Operations Lead (SOC Lead) to build, mature, and operate our 24/7 detection and response capabilities across a modern cloud-native and AI-driven environment. This role leads the global SOC function—monitoring, SIEM ownership, detection engineering, alert triage, and operational readiness—while also evaluating and integrating emerging AI-based SOC products and autonomous response platforms . You will oversee monitoring across multi-cloud environments (GCP primary, AWS/Azure secondary), Kubernetes, SaaS services, endpoints, developer tools, and AI workloads . You’ll collaborate closely with Cloud Security, Compliance/GRC, SRE, Platform Engineering, IT/Endpoint teams, and AI Infrastructure to ensure our detection strategy scales and stays ahead of evolving threats. This is a hands-on leadership role perfect for someone who wants to shape the SOC of the future while solving complex challenges in a high-scale AI setting. What You’ll Do SOC Leadership & 24/7 Monitoring Lead, mentor, and scale a global SOC team responsible for 24/7 monitoring, alert intake, triage, correlation, and escalation. Build operational rigor: processes, runbooks, SLAs, metrics, and quality standards for high-scale environments. Cover monitoring across: Cloud infrastructure (GCP, AWS, Azure) Kubernetes/GKE/EKS/AKS clusters SaaS platforms (Google Workspace, GitHub, Slack, Okta, etc.) Endpoints (macOS, Linux, Windows) including EDR/XDR telemetry Developer platforms + CI/CD pipelines AI/ML systems and model-serving workflows AI-Based SOC Integration & Innovation Evaluate, adopt, and integrate AI-native SOC technologies for triaging, detection, and correlation Identify opportunities to automate triage, investigations,

The Account Manager – Enterprise is responsible for managing and growing relationships with assigned strategic accounts to drive client satisfaction, retention, and business growth. This role requires a strong understanding of Entrata’s product suite and the ability to align solutions with client objectives. The Account Manager works cross-functionally with internal teams to identify opportunities for account expansion, resolve issues, and deliver a seamless client experience. Duties/Responsibilities Build and maintain strong, long-term relationships with key stakeholders within assigned accounts. Develop account plans outlining strategies for growth, retention, and upsell opportunities. Collaborate with internal teams, including Sales, Implementation, and Support, to deliver high-quality client experiences. Understand client business objectives, challenges, and operations to effectively position Entrata solutions. Provide consultative guidance to clients on best practices, industry trends, and product utilization. Identify and pursue opportunities for account expansion and revenue growth. Communicate product updates, new features, and relevant developments to client stakeholders. Analyze account data to identify trends, performance gaps, and improvement opportunities. Essential Functions Maintain ongoing communication with key client stakeholders to ensure satisfaction and retention. Develop and execute account strategies that drive growth and align with company goals. Collaborate with internal teams to ensure successful delivery of products and services. Apply sound judgment and problem-solving skills to resolve complex client issues. Ability to prioritize tasks effectively by meeting deadlines and managing workload effi

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Finance Program Management Office (FinPMO) is responsible for driving and scaling cross-functional finance programs and M&A integrations. FinPMO partners closely across Accounting, Strategic Finance, Corporate Development, Equity, Procurement, Treasury, Risk, and Legal to ensure financial change through M&A and other new business models is executed in a controlled, auditable, and operationally effective way. FinPMO plays a critical role in managing M&A including financial deal diligence, finance operations, post-close integrations, reporting and controls. We help quarterback the M&A process to help ensure corporate integrations are executed cleanly, risks are managed proactively, and leadership has clear deal visibility. About the Role As a M&A Finance Integration Lead, you will own and scale OpenAI’s finance integration model. This is a highly cross-functional, transactions driven role for someone who can bring structure to ambiguity, translate deal complexity into executable workplans, and drive successful M&A outcomes across multiple teams. We’re looking for someone to be the central point of accountability to oversee finance workstreams across the full M&A lifecycle. You’ll ensure integrations are executed cleanly, financial risks are mitigated early, and our books, controls, and systems remain stable as OpenAI scales. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will: Define and build standardized, scalable M&A finance integration frameworks. Drive consistent execution across multiple, simultaneous M&A integrations. Ensure timely, accurate M&A diligence including historical financials, revenue, equity, tax, and procurement. Lead integration planning for deal close readiness a

Our Purpose Mastercard powers economies and empowers people in 200+ 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, AI Engineering, Transformation Team Overview: The Transformation Team leads strategic change initiatives to reimagine how Mastercard works and scales, simplifies, and accelerates business outcomes. The team partners across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, improve operating effectiveness, and ensure successful adoption of change. By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance. Role: • This job develops and executes short-term and medium-term strategic plans for AI Engineering across Mastercard, aligning functional initiatives with organizational objectives by modifying existing methods to make significant improvements to existing processes, programs, and/or policies. • Drives the development and execution of short-term functional strategies for AI/ML teams, translating organizational priorities into actionable plans and deliverables. • Collaborates with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies. • Ove

Position Overview As SingleStore’s IT Operations Engineer, you will help shape the IT toolset used by our end users. This is an active, hands-on position responsible for the planning, design, development, and Tier 1 support of several key technical areas at the SingleStore IT team, including end-user support, client engineering, executive support, and infrastructure application support. This is an incredible opportunity for someone to build upon their technical strengths and be a part of IT at SingleStore team . Roles and Responsibilities: Administering a wide variety of SaaS applications. Some main applications that need to be supported are OKTA (+ Workflows), Google Workspace, Slack, and Atlassian tools (JIRA + Confluence), MDM administration. Keep up to date with new features and new releases in these applications to identify opportunities for better automation or features that could be useful for our environment. Seize opportunities across the IT Operations team to eliminate manual work through tooling, integrations, and automation of IT workflows. Respond to tickets and execute new hire onboarding and user separation processes. Support members of the team with troubleshooting and resolution of complex issues. Design, architect, implement and maintain systems and solutions for various IT-related topics, including but not limited to staff computer hardware, operating systems, software applications, networking, videoconferencing, and printers. Partner and collaborate with all business units to help them evaluate hardware and software solutions. Able to communicate effectively and concisely with the entire company. Analyze existing processes, suggest and make improvements, and implement business processes where none exists. A desire to learn and expand your horizons; take on new challenges as the business scales Required Skills and Experience: Minimum 2 years of relevant experience Prior experience in implementing and administering Google Workspac

We anticipate the application window for this opening will close on - 30 Sep 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 Our Automation Platforms team develops and scales reusable technologies that improve safety, quality, and productivity across Medtronic’s global manufacturing network. We're working onsite 4 days a week as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. The person in this role will work from the Medtronic facility located in Fridley, Minnesota. This role will require 25% of travel to enhance collaboration and ensure successful completion of projects. The Sr Principal Robotics & AMR Automation Platforms Engineer will serve as the enterprise technical authority for autonomous mobile robotics, collaborative robotics, and emerging intelligent automation technologies, advancing reusable platforms from technology development through factory validation and global deployment. This role will define technical strategy, platform architectures, roadmaps, standards, and reusable capabilities while partnering with manufacturing sites, engineering teams, IT/OT, suppliers, system integrators, and Medtronic’s Surgical Robotics organization. The successful can

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models. Improve AI compilers to hide communications or perform automatic fusion. Conduct in-depth AI workload performance characterization on multi-GPU clusters. Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads. Author