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About the Role: Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or recommendation anomalies post-release and escalate issues promptly. Continuously improve QA processes, metrics, and reporting for streaming and AI validation. Your Background: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands-on experi

About the Team DoorDash is looking for an exceptional Engineering Manager to lead the Merchant Tablet team — one of our most impactful and fast-moving product teams. Our mission: meet merchants where they are and build best-in-class Android and iOS apps, powered by AI, that help merchants run smarter, faster, and more confidently. This team owns the T0 tablet app — the primary surface through which tens of thousands of merchants manage live operations on DoorDash every single day. By creating intuitive and reliable apps, the team plays a critical role in helping merchants save time, improve efficiency, and grow their businesses. About the Role As the Engineering Manager for the Merchant tablet team, you will lead a group of talented backend and Android engineers to develop impactful features and scalable platforms. You will collaborate closely with cross-functional partners to execute a strategic roadmap that enhances merchant satisfaction and engagement. Your leadership will ensure the delivery of exceptional user experiences across mobile and web platforms while also shaping the team’s technical vision for the future. The team is also responsible for the quality and reliability of the android platform. This role requires a blend of technical expertise, strategic thinking, and a passion for building user-centric solutions in a fast-paced, dynamic environment. You’ll have the opportunity to make a significant impact by empowering merchants to succeed through innovative and tailored tools. You're excited about this opportunity because you will… Lead high-impact tech initiatives that shape our Merchant apps like building out an AI powered chat interface to solve live order issues. Drive eng-excellence for the tablet team through investments in reliability and observability. Work with a variety of cross-functional partners from product, design, analytics, engineering and S&O Provide architectural guidance and professional d

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Engineering Manager, Home Infrastructure The Home Infrastructure team builds the mission-critical backend and data systems that power Roblox’s Homepage and Experience Details Page, two of the highest-traffic surfaces on Roblox. These surfaces reach the vast majority of Roblox’s daily active users and are core drivers of discovery, engagement, retention, and platform growth. We are a full-stack product infrastructure team responsible for content distribution across Roblox. Our systems support multiple modes of user interaction, including exploratory browsing, directed discovery, and personalized content recommendations across the many types of content that make up the Roblox ecosystem. This team sits at the intersection of large-scale distributed systems, machine learning-powered personalization, data infrastructure, and product experimentation. We partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, and other teams across Roblox to build the platforms that help users find the most relevant and engaging content. As Engineering Manager for Home Infrastructure, you will lead a team of Backend and Data Engineers responsible for the e

CPI Security is looking to hire a Corporate Controller to support and lead our accounting team, working out of our headquarters in Charlotte, North Carolina. CPI Security was founded in 1991 on an entrepreneurial spirit and a passion for helping and protecting others. What started as a company of 10 employees and 300 customers has grown into one of the nation's top 10 largest security providers with over 750 employees. Over the years, CPI has received many awards for excellence, such as twice-awarded SDM Dealer of the Year, Central Station of the Year, and the Marvel Award. The company leads the industry in alarm response times, is consistently ranked in the top 10 of electronic security businesses and is widely known as North Carolina and South Carolina's Top 25 Best Places to Work Position Summary: The primary responsibilities of the Corporate Controller are to: Manage all operational entities within the Accounting Department including accounts payable, collections, accounts receivable, payroll, inventory and revenue. Perform monthly close. Prepare monthly, quarterly and annual reports for Executive Management Team. Manage the treasury function for the organization. Prepare monthly compliance reports. This is an on-site position located at our corporate office in Charlotte, NC. Essential Functions The role will serve as a key business leader across multiple stakeholders within the company. Manage all operational processes within the accounting function including accounts payable, collections, accounts receivable, payroll, inventory and revenue. Ensure the company has relevant systems, financial controls, standard processes and procedures that support a strong internal control environment and an efficient operation The role will leverage and build systems and business process to achieve objectives and will require a continuous improvement mindset to build the scale to enable future synergistic gr

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac

About the Role We are looking for a seasoned Engineering Manager to lead our Data Platform. You will own the architecture and evolution of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform, enabling real-time decision-making across the organization. In this role, you will drive consistency and quality by defining the right engineering strategies. You will oversee multiple engineering projects, ensure timely execution, collaborate across functions, and mentor engineers to grow into high-performing contributors.

About the Role We are seeking a Staff Quality Engineer to establish and lead the quality program for our prototype assembly line supporting next-generation autonomous food-delivery robots. Reporting directly to the Head of Manufacturing, you will architect the quality systems, processes, and supplier partnerships required to transition our platform from prototype to scalable production. This role demands deep experience in supplier quality, manufacturing process development, and translating system-level requirements into robust controls on the factory floor. The ideal candidate thrives in a fast-paced, hardware-driven environment, is passionate about building high-reliability products, and holds an uncompromising commitment to operational excellence. This role is based in Fremont, CA, with periodic travel to suppliers and manufacturing partners as needed. You're excited about this opportunity because you will… Build the end-to-end quality program for a prototype robotic assembly line, including process documentation, traceability requirements, and manufacturing control plans. Define quality standards and inspection criteria for our parts and sub-assemblies. Establish and manage the supplier quality function, including qualification, audits, PPAP/APQP alignment, and ongoing supplier performance monitoring. Collaborate with systems engineering to derive PFMEAs, connecting system-level risks to process-level controls, inspection steps, and mitigation strategies. Develop in-line quality control processes, including incoming inspection, in-process checks, and end-of-line validation for prototype builds. Lead the Material Review Board (MRB) to drive disposition of non-conformining material (NCM) Lead root-cause analysis (RCA) for build issues, field failures, and supplier-related nonconformances; drive corrective and preventive actions (CAPA). Partner closely with manufacturing, design, systems, and test teams to ensure that quality requirements are integrated from concep

You’ll shape the future of a business‑critical platform as the technical lead across both product engineering and cloud infrastructure. You’ll modernize a mature .NET application running on AWS today, while steering its evolution toward a cloud‑native, React/Node.js, AI‑enabled architecture. If you enjoy owning architecture end‑to‑end, from backend and frontend through CI/CD, DevOps, and AWS infrastructure, this role gives you real influence at Staff Engineer level and the opportunity to set engineering standards that others follow. You’ll spend your time leading complex .NET and React features, designing scalable AWS infrastructure with Infrastructure as Code, and building automation that makes releases fast, safe, and repeatable. You’ll work on performance, reliability, and modernization in equal measure—fixing what’s slowing the platform down today and designing what it will look like in the next generation. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture and development of enterprise .NET services and APIs that power a business‑critical platform. Design and operate AWS infrastructure (using AWS CDK in TypeScript) to support secure, scalable, multi‑environment deployments. Build and optimize CI/CD pipelines (AWS CodePipeline, CodeBuild, Windows build agents) to make shipping .NET and React changes fast and reliable. Drive modernization initiatives across the stack, including clean architecture, refactoring legacy components, and reducing technical debt. Design and tune PostgreSQL and MSSQL database solutions for performance, scalability, and reliability. Mentor engineers and influence engineering practices across teams, raising the bar on cloud, DevOps, and software design. These are the essentials you’ll need to get an interview Significant experience (typically 8+ years) delivering and operating scalable enterprise software, owning both application code and cloud infrastructure. Deep hands‑on expertise with C

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. 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: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or r

The Agent Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. 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: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scie

The role Scale builds enterprise AI systems deployed into production. As a Solutions Architect, you lead technical execution for enterprise deals in your vertical from initial discovery through deal close, and remain involved post-sale to support account growth. You own an assigned set of enterprise accounts. You conduct technical discovery, evaluate technical feasibility, build solution prototypes, and serve as the main technical point of contact for customer engineering and leadership teams. You work alongside three primary partners: the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). What you will own Technical discovery and qualification. Lead technical discovery and complete the Technical Qualification Checklist, evaluating feasibility, data readiness, integration requirements, security/compliance, evaluation readiness, and stakeholder alignment. Provide clear go/no-go recommendations for prospective deals. Evaluation and success criteria. Define performance metrics and evaluation criteria before proposal stage, including quality dimensions, baselines, evaluation datasets, and subject-matter expert access requirements. Customer workshops. Lead executive technical workshops for target use cases. Prepare pre-read materials and build working prototypes or live demos to validate proposed technical architectures. Statement of Work (SOW) input. Supply the technical input package for SOW creation (architectural approach, prototype findings, risks, dependencies, and assumptions) and review draft SOWs for technical accuracy. Post-sale account engagement. Maintain long-term technical engagement with signed accounts, identify expansion opportunities for new use cases, and share delivery feedback with GTM teams. Vertical technical assets. Develop reference architectures, demo environments, discovery templates, and evaluation frameworks for your assigned industry vertical. Wha

The main duty for yoga instructors is to create a curriculum and lead groups through various levels and types of yoga practice. This can include doing administrative work for the class getting equipment together and getting to know what participating clients want. Demonstrate practice and technique. As the expert you will use your body to show the correct way to get into poses the most beneficial breathing patterns and tips for achieving spiritual wellness. Offer adjustments and training recommendations. Address: RELIANCE INDUSTRIES LIMITED JAMNAGAR Taluka Lalpur District Jamnagar State Gujarat Pincode 361142 Facility: RIL -VIP GH- JAMANAGAR GH - FS Qualification: Not Specified Experience: 4 - 10 years Source: Sodexo India | Job Code: IJP498438