Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc is seeking a Staff Analytics Engineer to join a centralized team responsible for defining, creating, and maintaining a scalable and robust analytics layer that powers Zocdoc’s strategic analytics, operations, and reporting capabilities. As a Staff-level member, you'll lead the design and implementation of complex data transformations and production-grade data models, establishing standardized datasets that drive critical decision-making across the organization. Collaborating closely with Product Management, Product Engineering, Data Engineering, and Analytics teams, you'll ensure data solutions are strategically aligned, efficient, and consistently reliable, enabling teams across Zocdoc to rapidly gain meaningful insights from high-quality data. You’ll enjoy this role if you are… Excited about designing and building strategic data products that drive impactful outcomes across the entire organization Passionate about solving complex, high-impact problems using data and analytics at scale Committed to setting a high bar for
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Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever. The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high-stakes decisions at scale. As a Sr/Staff Data Scientist you will be one of the most senior analytical voices at the company — a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform. You'll work on some of Zocdoc's most complex and ambiguous business problems — where the question itself isn't always defined, and the right method doesn't fit neatly into a playbook. You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows. This is a high-visibility, high-impact individual contributor role. Success here is measured not just by the q
NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. We are seeking a Network Infrastructure Manager to lead our network operations, ensure setup, maintenance, reliability, and optimize performance to support our trading activities. Key Responsibilities: As a Network Infrastructure Manager, you will be responsible for designing, implementing, and managing the firm’s network infrastructure to ensure high availability, low latency, and security. You will collaborate with trading, systems, and development teams to meet the demanding requirements of algorithmic trading and maintain seamless exchange connectivity. Design and implement network infrastructure in colocation for low latency exchange connectivity Design and implement network infrastructure for inter and intra data centres Develop scalable network architectures to accommodate growing business requirements Optimize network performance for local, wide-area, and data center networks. Oversee daily network operations, ensuring 24/7 network availability and minimal downtime. Manage network related hardware such as switches, routers, and firewalls across multiple data centers. Lead incident response for network issues, identifying root causes and implementing solutions. Develop and maintain tools for real-time network monitoring and performance analysis. Optimize configurations for minimal packet loss, latency, throughput and jitter. Evaluate and implement new technologies to improve network efficiency and reliability. Ensure network security by managing firewalls, VPNs, and intrusion detection systems. Collaborate with compliance teams to ensure adherence to regulatory requirements. Implement best practices for securing sensitive trading data and infrastructure. Work closely with trading, develop
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. At Micron, we are building innovative technology that transforms how the world uses information. As an Engineering Remote Operations Center (EROC) Engineer , you will make a meaningful impact by helping us maintain reliable, efficient, and scalable engineering operations across global environments. You will collaborate with teams worldwide, leverage Microsoft Copilot and AI-enabled technologies, and continuously develop your technical expertise while driving operational excellence. Join us and help build the future of engineering operations! Responsibilities: Monitor infrastructure, applications, and operational dashboards to maintain system health, improve availability, and quickly identify potential issues. Troubleshoot incidents, perform root cause analysis, and collaborate with global teams to drive timely resolution and continuous improvement. Support ticket triage, SLA compliance, workload management, and operational readiness across engineering environments. Leverage Microsoft Copilot, Generative AI, automation, analytics, and intelligent monitoring tools to improve efficiency and enhance knowledge management. Create, maintain, and continuously improve technical documentation, SOPs, and operational processes that enable consistent service delivery. Minimum Qualifications: Bachelor's degree in computer science, Information Technology, Engineering, or a related technical field. (No more than 2 years of graduated). Proficiency in Linux and
We are looking for a Senior Associate/ Director in Trading Desk Operations to join our Trading Team. You will help on the operational side of the trading desk, supporting trading and funding operations and streamlining processes to support the growth of our Trading business. You will gain an in-depth understanding of the trade life cycle for the particular trading desk you will support. Responsibilities: Provide dedicated end-to-end trade support to assigned trading desks, perform trade bookings, trade verifications, balance and position reconciliations, P&L attributions Troubleshoot operational bottlenecks, delays, and other problems presented throughout the trade life cycle Using coding and AI tools, develop and enhance booking and reconciliation procedures Real-time monitoring and escalation on risk positions against internal thresholds and develop new monitoring tools for the desk Develop standardized templates and playbooks for new product onboarding (booking models, reconciliation rules, account setup) to reduce time-to-market Set up of new accounts and trading books, maintain data integrity and data mapping Perform funding operations and settlement checks, investigate and resolve fund transfer issues, liaising internally with Treasury or with external brokers Monitor funding usage, ROI and manage internal capital distribution records Assist in analysis of trading performance, P&L and risk attribution Assist promptly in adhoc/urgent requests from the trading desks relating to trade bookings or funding requests Engage with developers on projects that further enhance system infrastructure and controls Identify repetitive manual processes across the trade lifecycle and build automated solutions (scripts, macros, RPA) to reduce operati
We are looking for a Senior Associate/ Director in Trading Desk Operations to join our Trading Team. You will help on the operational side of the trading desk, supporting trading and funding operations and streamlining processes to support the growth of our Trading business. You will gain an in-depth understanding of the trade life cycle for the particular trading desk you will support. Responsibilities: Provide dedicated end-to-end trade support to assigned trading desks, perform trade bookings, trade verifications, balance and position reconciliations, P&L attributions Troubleshoot operational bottlenecks, delays, and other problems presented throughout the trade life cycle Using coding and AI tools, develop and enhance booking and reconciliation procedures Real-time monitoring and escalation on risk positions against internal thresholds and develop new monitoring tools for the desk Develop standardized templates and playbooks for new product onboarding (booking models, reconciliation rules, account setup) to reduce time-to-market Set up of new accounts and trading books, maintain data integrity and data mapping Perform funding operations and settlement checks, investigate and resolve fund transfer issues, liaising internally with Treasury or with external brokers Monitor funding usage, ROI and manage internal capital distribution records Assist in analysis of trading performance, P&L and risk attribution Assist promptly in adhoc/urgent requests from the trading desks relating to trade bookings or funding requests Engage with developers on projects that further enhance system infrastructure and controls Identify repetitive manual processes across the trade lifecycle and build automated solutions (scripts, macros, RPA) to reduce operati
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for an experienced Data Analytics Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building the tax data operations function for our Deliveroo and Wolt legal entities. This includes building and operating the data pipelines and infrastructure that power tax analytics and support decision-making across the company. As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience working with Tax teams to gather requirements, and designing scalable data processes to support them.. This person will grow our unique community via your blend of tax, data technology, and process improvement experience. About the Role You will be reporting to the Senior Manager of Tax Data & Operations, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users. As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth. What you’ll be doing Lead the collection of Tax Da
About the Role We're looking for a Director of GTM Strategy and Operations to be the operational engine behind our go-to-market team. We know our market — now we need to win it faster. This role is about building the infrastructure, automation, and analytics that compress our sales cycle, increase pipeline velocity, and give leadership the visibility to forecast with confidence. You'll sit at the intersection of sales operations, marketing operations, and revenue intelligence — owning the systems, data, and workflows that turn our GTM strategy into repeatable, measurable execution. This is not a "keep the lights on" role. You'll identify gaps, design solutions, and drive adoption across the team. What You'll Do Revenue Operations & Automation Own and evolve the GTM tech stack — Salesforce, HubSpot, and the surrounding ecosystem — ensuring clean data flow, tight integrations, and minimal manual work Design and implement automation across the funnel: lead routing, handoff workflows, enrichment pipelines, follow-up sequences, and deal stage triggers Build and maintain integrations between revenue tools (CRM, MAP, sequencing platforms, data enrichment, BI) so teams operate from a single source of truth Identify and eliminate process friction that slows deals down — from first touch through closed-won Partner with technical resources to architect scalable RevOps infrastructure; you set the strategy and requirements, others execute the builds Sales Operations & Cycle Optimization Operationalize the sales process — MEDDPICC adoption, stage exit criteria, deal inspection frameworks — so reps are consistent and managers have real visibility Build and maintain pipeline management cadences: weekly reviews, deal health scoring, and escalation triggers that surface risk early Analyze sales cycle data to identify where deals stall, drop, or slow — then build fixes into the process and tooling Partner with Sales leadership on territory management, quota modeling, and capac
Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you'll do Take on ownership of the cloud platform infra layer that powers Lab37's robotics fleet. This spans building Cloud infra, ML, ETL, CI/CD pipelines that turn raw robot telemetry into actionable analytics, managing data discovery, data lineage and contributing to models training pipelines on our robots, and ensuring the observability and reliability of the entire data stack. Work with a small, high-impact platform team to build the systems that every product team at Lab37 consumes — from data scientists training models, to kitchen operations teams viewing dashboards, to engineers deploying new ML models to robots in the field. Responsibilities Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks. Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs. Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation. Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics. Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services. Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate i
Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. As an Insurance Senior Specialist, you will serve as the subject matter expert for Zocdoc's insurance taxonomy and related systems. You will own the policies, processes, and quality standards that ensure our insurance data is accurate, scalable, and aligned with product strategy. This role combines deep expertise in the U.S. health insurance landscape with strong analytical thinking to improve the patient search experience and strengthen the integrity of our insurance database. You will partner closely with Product, Operations, and Engineering teams to define insurance policies, monitor database health, and drive continuous improvements. Your work will directly influence how patients find in-network care by ensuring that our insurance taxonomies, carrier and plan coverage, and provider matching systems remain accurate, scalable, and responsive to changes in the healthcare market. A Day in the Life of a Product Operations Specialist: Define Insurance Policies & Standards: Own the policies governing insurance carriers and plans across the Zocdoc marketpl
Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. About the Role We are seeking an experienced and highly motivated Lead Consultant – Azure Infrastructure to lead cloud transformation initiatives, architect enterprise-scale Azure solutions, and provide technical leadership across migration, modernization, security, networking, and disaster recovery projects. The ideal candidate will possess deep Azure infrastructure expertise, strong consulting and stakeholder management skills, and a proven track record of delivering complex cloud engagements. This role requires a blend of technical leadership, architectural governance, customer engagement, and hands-on implementation expertise to drive successful cloud adoption and operational excellence. Key Responsibilities Azure Migration & Modernization • Lead large-scale Azure infrastructure migration programs, including lift-and-shift, re platforming, and cloud transformation initiatives. • Design and implement Azure IaaS solutions covering virtual machines, stor
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase's Developer Infrastructure - Test team exists for one reason: every Coinbase engineer should get fast, reliable test signals so the company can test and ship faster. As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. As a Staff Software Engineer on the Platform team, you'll set the technical direction for how Coinbase tests and ships software, owning the systems that turn testing into a speed advantage instead of a bottleneck. What you'll do: Define and own the technical strategy for test infrastructure across Coinbase engineering, with feedback speed as a core design constraint. Build and operate core test infrastructure services, including test orchestration, smart test selection, sharding, flaky-test detection, and test result analysis. Drive measurable improvements in test feedback speed and signal reliability so engineers can ship with confidence and without reruns. Own systems end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to identify bottlenecks and turn them into platform improvements. Mentor engineers, raise technical standards, and shape how the organization approaches test infrastructure. Required Skills and Experience: 10+ years building and operating production so
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the facility operations team, you will design, build, and activate some of the world’s most technically advanced facilities and data centers. You will be the subject matter expert on all HVAC, piping, and other critical fluid systems. You will have the opportunity to utilize your knowledge, experience, and creativity to develop novel solutions at the cutting edge of space technology. You will work with other facility engineers and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Responsible for owning and being the subject matter expert on fluid/HVAC components across the site. Perform CAD modeling and design of these systems. Perform fluid analyses for pressure balance, component design allowable, and consumables determination. Responsible for owning maintenance and reliability of critical infrastructure assets across campus. Commission systems, validate nameplate performance, and implement predictive maintenance protocols to minimize downtime. Equipment selection, sizing, and procurement support. Drive root-ca
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Senior Technology Risk Analyst Department: Data & Technology Solutions (DTS) Reports To: SVP Security and Compliance Location: [London/Hybrid 2 days a week in office] Position Type: Full-Time Role Purpose The Senior Technology Risk Analyst is responsible for managing and continuously improving the Information Security Management System (ISMS) across Data & Technology Solutions. You will ensure that security policies, controls, risks, exceptions, and governance processes are properly maintained, evidenced, reviewed, and acted upon. Reporting to the SVP Security and Compliance, you will provide the operational backbone for security governance across DTS. This is a hands-on Governance, Risk, and Compliance (GRC) role. You will collaborate across security, product, engineering, infrastructure, architecture, legal, risk, compliance, and delivery teams to transform security governance into a dynamic, working management system rather than a static documentation exercise. Key Responsibilities 1. ISMS Ownership & Operation Manage the day-to-day opera
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. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models
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