Executive Quality Control Jobs

Lead - Electronics is responsible for overseeing and managing all on-site electronics systems and equipments ensuring successful maintainenece with high standards of safety, quality, and efficiency. This role is responsible for leading the team, establishing operational policies, coordinating with stakeholders, and implementing sustainable practices to optimize performance. The role involves planning, coordinating, and executing preventive, corrective, and emergency maintenance, ensuring compliance with safety and operational standards. Source: Adani Group | Job ID: 51499

ABOUT THE TEAM The Scaled/Digital Customer Success team helps customers realize value from Mural through education, digital programs, and learning experiences at scale. This team plays a critical role in making high-quality customer education more personalized, accessible, and scalable. This role sits within our Scaled and Digital Customer Success team and reports to the Director of Customer Success. YOUR MISSION As a Customer Enablement Manager, your mission is to bring our customer enablement strategy to life through high-quality content, personalized learning experiences, and scalable programs. You will translate customer needs and product capabilities into clear, outcome-based learning journeys that help teams work better together and achieve real-world success with our platform. You will build and scale modern customer education programs that help customers adopt priority use cases, reduce time-to-value, and increase product confidence. WHAT YOU'LL DO Execute scalable education initiatives including self-guided, live, cohort-based, and peer-led learning experiences. Design outcome-based learning journeys and adaptive paths tailored to priority roles, use cases, and adoption milestones. Develop and maintain high-quality reusable content such as courses, guides, videos, templates, and interactive simulations. Partner cross-functionally with Product, Marketing, and CS to align education with launches and identify education gaps. Deliver internal enablement to CS Teams globally to ensure consistency in Customer Journey, Strategy Execution, and customer outcomes. Track and measure learning engagement, proficiency, and product adoption to continuously improve program effectiveness. WHAT YOU'LL BRING 3+ years of experience in customer education, instructional design, or scaled Customer Success, ideally in B2B SaaS. Proven ability to design modern learning experiences using microlearning, scenarios, and social learning principles. Strong content creation skills with th

Datadog is looking for a data-driven Associate Growth Marketing Manager to own the day-to-day execution, strategy, and optimization of our paid LinkedIn campaigns. In this role, you’ll be responsible for scaling LinkedIn ads that drive measurable results across global markets, with a strong focus on efficiency. This is an exciting opportunity for someone who combines analytical rigor with creative instincts, thrives in a performance-driven environment, and wants to deepen their expertise in paid media within a high-growth B2B company. 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: Manage campaign setup, budget allocation, and pacing, making data-informed decisions to drive high-quality, efficient leads and strong downstream performance Own campaign performance reporting and analysis Collaborate cross-functionally to promote products, webinars, events, and content across regions on LinkedIn and other digital channels (e.g., Reddit, Meta) Continuously test new audiences, bid strategies, messaging, creative, and landing pages to increase learning velocity and performance over time Who You Are: 2+ years of hands-on, in-platform experience managing LinkedIn Ads 3+ years working in marketing, ideally in a B2B or high-growth tech environment Comfortable manipulating and analyzing large datasets in Excel/Sheets, identifying trends, and translating insights into clear recommendations Experience with A/B testing, landing page optimization, and creative iteration Strong written and presentation skills, with the ability to clearly explain analyses and recommendations to stakeholders via PowerPoint/Slides Curious, proactive, and motivated by driving results Datadog values people from all walks of life. We understand not everyone will meet all the above qualificatio

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role: Okta is looking for a highly skilled Globalization Engineer to be the technical backbone of our global digital operations. You will be responsible for owning, building, and optimizing the automation and technology stack that powers our localization team. This is a hands-on role for an experienced technical expert who is passionate about building robust, scalable systems. You will leverage your deep expertise in APIs, AI, and internationalization to solve complex technical challenges and drive efficiency. As a subject matter expert, you will also act as a key technical consultant to internal teams, helping them prepare content for a global audience. What you'll be doing: Build and Own the Localization Automation Framework: Design, develop, and maintain the core automation workflows for our content lifecycle using agentic workflows, Python and APIs, connecting our TMS with content sources, repositories, and other internal tools. Spearhead AI and Technology Integration: Research, evaluate, and implement cutting-edge localization technologies, including AI/LLM-based solutions and advanced TMS features, to improve the quality, speed, and cost-effectiveness of our workflows. Provide Technical Oversight and Systems Integrity: Act as the authority for resolving high-impact architectural failures. Conduct deep-dive root cause analysis on complex integration issues, file parsing conflicts, and system-wide bottlenecks to ensure uninterrupte

Role Description Dropbox’s Design team is looking for a Director of Product Design to define the next generation of product experiences and infrastructure for Dropbox. In this role, you will lead the vision, strategy, and execution for the systems, patterns, and operating model that shape how Dropbox builds coherent, high quality, multi product experiences at scale. We are building a modern system that can support a broader portfolio of products, accelerate product teams to achieve product market fit, improve front end quality, and create durable patterns for the most important product experiences across Dropbox. You will lead the team responsible for turning repeated product needs into reusable experience infrastructure: interaction patterns, product frameworks, design primitives, implementation standards, and adoption models that make it easier for teams to build excellent Dropbox experiences. As Director, you will oversee the evolution of Dropbox’s design system into a next generation design and technology platform. This includes the foundational system of components, tokens, accessibility standards, and documentation, but also the broader lifecycle of product patterns: how they are identified, designed, validated, built, adopted, measured, improved, and eventually deprecated. You will help move the team from a reactive model, where design systems patternize work after the fact, to a more proactive model, where the team helps shape core product experiences from the beginning. You will also establish Design Systems and Design Technology as a center of excellence for front end product quality. This team should not only define what good looks like, but help build it. That means partnering deeply with product designers, engineers, product managers, researchers, brand, and leadership to create high leverage patterns that improve product coherence, accelerate execution, and raise the quality bar across web, mobile, desktop, and emerging AI native experiences. The ideal

Role Description Dropbox’s Design team is looking for a Director of Product Design to define the next generation of product experiences and infrastructure for Dropbox. In this role, you will lead the vision, strategy, and execution for the systems, patterns, and operating model that shape how Dropbox builds coherent, high quality, multi product experiences at scale. We are building a modern system that can support a broader portfolio of products, accelerate product teams to achieve product market fit, improve front end quality, and create durable patterns for the most important product experiences across Dropbox. You will lead the team responsible for turning repeated product needs into reusable experience infrastructure: interaction patterns, product frameworks, design primitives, implementation standards, and adoption models that make it easier for teams to build excellent Dropbox experiences. As Director, you will oversee the evolution of Dropbox’s design system into a next generation design and technology platform. This includes the foundational system of components, tokens, accessibility standards, and documentation, but also the broader lifecycle of product patterns: how they are identified, designed, validated, built, adopted, measured, improved, and eventually deprecated. You will help move the team from a reactive model, where design systems patternize work after the fact, to a more proactive model, where the team helps shape core product experiences from the beginning. You will also establish Design Systems and Design Technology as a center of excellence for front end product quality. This team should not only define what good looks like, but help build it. That means partnering deeply with product designers, engineers, product managers, researchers, brand, and leadership to create high leverage patterns that improve product coherence, accelerate execution, and raise the quality bar across web, mobile, desktop, and emerging AI native experiences. The ideal

About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists , research engineers , and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. Turn real research workflows and model failures into data and evaluation flywheels. Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. Create metrics and economic models to understand RSI’s current and future effects on research productivity, model capabilities, and the safety of internal deployments. This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results. You might thrive in this role if you: Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. Are a strong generalist who can move between open-ended research and practical implementation, turning ambig

AI Systems Engineer - Codex Core Agents About The Team The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior. This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex. About The Role We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements. What You’ll Do Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely. Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments. Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures. Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to

The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is central to OpenAI’s roadmap and vision. We are seeking an Associate to support financial and strategic work across our compute and infrastructure portfolio. This is a finance generalist role that includes core FP&A responsibilities as well as investment analysis, commercial decision support, and strategic planning. You will own analyses and workstreams, partner closely with technical and finance teams, and help shape decisions about how OpenAI invests in and manages compute. In this role, you will be given direction on the objective and expected to independently structure the problem, work through incomplete information, and deliver a high-quality analysis and recommendation. In this role, you will: Build and maintain financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power Support planning, forecasting, budgeting, reporting, and variance analysis across compute and infrastructure Perform investment analysis and evaluate commercial decisions and strategic initiatives Prepare high-quality analyses, recommendations, and Exec and Board-facing presentations Support business partners across compute infrastructure, FP&A, and strategic finance Help improve the team’s processes, tools, and ways of working, and identify opportunities for OpenAI to continue leading in compute You might thrive in this role if you have: 3+ years of experience across private/growth equity, investment banking, or strategic finance, or 3+ years in a finance operating role at a high-growth technology company Background in infrastructure, data

About the Team GTM Growth Engineering builds AI-native products and systems that help OpenAI's go-to-market and B2B marketing organizations operate with greater speed, focus, and leverage. Our mandate is revenue leverage: products tied directly to pipeline quality, customer engagement, seller and marketer productivity, and the speed at which OpenAI can bring its technology to customers. We build the infrastructure and user experiences behind high-impact GTM workflows, including customer context, prioritization, routing, campaign execution, review surfaces, feedback loops, and measurement. Our work combines product craft, applied AI, reliable systems, and thoughtful operational design. About the Role We’re looking for a product-minded Software Engineer to build AI-powered products and full-stack experiences for GTM Growth Engineering. You will own meaningful product slices end to end, from user experience and frontend implementation to backend APIs, integrations, data models, instrumentation, and launch readiness. This is a role for engineers who want to build products that do real work in production. You will partner with Product, Design, Data Science, Sales, B2B Marketing, and operations teams to understand high-value workflows and ship systems that improve customer engagement, pipeline, conversion, and team productivity. The role is ideal for a strong product engineer who can move between product craft, systems engineering, applied AI, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and improve products based on real user feedback. What You'll Do Build AI-powered products and workflows that help sales and B2B marketing teams identify opportunities, coordinate work, and engage customers more effectively. Own full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. Design intuitive user journeys that combine polished interfaces, reliable servi

About the Team The Platform Analytics team builds the systems OpenAI researchers use to understand the quality and behavior of the models we train including what models are doing, why they behave in a particular way, and how that behavior changes across experiments. Neptune is a core part of this work. It ingests, stores, queries, and visualizes large volumes of metrics from pretraining, post-training, and reinforcement learning. Hundreds of researchers depend on these systems in their daily work to compare experiments, debug unexpected behavior, and decide what to try next. Our scope is broader than metrics. We also build platforms that help researchers analyze samples, traces, evaluation results, and other structured or unstructured data through dashboards, APIs, and increasingly agent-driven workflows. These systems need to remain fast, reliable, and understandable as the scale and complexity of research change quickly. We are not trying to become a consulting team that builds a separate solution for every research project. We work directly with researchers to understand recurring problems, then turn them into reusable infrastructure and platform capabilities that many teams can build on. About the Role We’re looking for a hands-on experienced software engineer who can take ownership of a critical system and drive it from problem definition through production adoption. This person should be able to own a platform such as CacheHouse end to end: define its technical direction, design its data model and storage architecture, integrate it with several research dashboards and workflows, guide one or two engineers, and ensure the system works reliably for its users. The right candidate should already bring the technical judgment, ownership, and execution expected at this level. The primary learning curve should be OpenAI’s stack and research problem space, not learning how to lead a complex engineering effort or deliver a production system. You will work directly with

About the Team The Consumer Products team at OpenAI brings groundbreaking AI technology to life through world-class hardware. Our Operations group ensures that every product moves seamlessly from concept to customer — integrating supply chain strategy, manufacturing operations, and quality systems to enable rapid, reliable, and scalable production. We partner closely with engineering, design, and manufacturing teams around the world to deliver exceptional products at launch and beyond. About the Role As an Operations Manager, you will own the execution and strategy that transforms early product concepts into high-quality, manufacturable consumer devices. You’ll lead cross-functional planning, manage vendor relationships, and ensure supply, cost, and schedule alignment across fast-moving hardware programs. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to supplier and manufacturing sites is expected. In this role, you will: Develop and execute operations strategies that bridge product design and large-scale manufacturing. Drive build readiness and production planning from prototype through mass production. Partner with global suppliers to ensure materials, tooling, and capacity meet program goals. Collaborate with hardware, quality, and supply chain teams to establish and maintain robust operational systems. Track cost, yield, and schedule performance to ensure efficient and predictable product delivery. Build scalable processes that support rapid iteration and future product launches. You might thrive in this role if you: Have 6+ years of experience in hardware operations, manufacturing, or supply chain for consumer electronics or similar industries. Have successfully taken at least one product from concept through mass production. Are fluent in NPI processes, contract manufacturing dynamics, and global operations management. Bring strong analytical and co

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. The Mission The Global Revenue Enablement (GRE) organization exists to equip every audience in our ecosystem — field sellers, technical specialists, and partners — with the clarity, content, and skills they need to execute with speed and consistency. This Program Manager sits within the PMO + Data team and owns the design, execution, and continuous improvement of Snowflake's Authorized Training Partner (ATP) program. You will build and scale a certified partner and instructor network that extends Snowflake's educational reach into markets and segments the core team cannot serve directly — while protecting brand integrity and learner experience at every touchpoint. You are the DRI for training partner program success metrics. You'll design the operating model, set quality standards, and continuously optimize how the program runs. The first 6 months will include a heavier focus on learning the team's operations and designing workflow improvements; afterward, the role shifts more toward partner program ownership and strategic growth. Key Responsibilities Partner Program Design & Ownership Own execution and continuous improvement of the Authorized Training Partner (ATP) program: manage partner onboarding, certification, quality standards, and performance management within e

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We are seeking a strategic and driven Product Marketing Manager to own product positioning, messaging, and go-to-market strategy for the Sun Day Red apparel and accessories portfolio. This role sits at the center of our storytelling — translating product intent, design philosophy, and brand equity into differentiated positioning that drives awareness, consideration, and purchase intent. You will be the connective tissue between product creation, creative, wholesale, and eCommerce: defining what makes each product matter, then leading the cross-functional execution that brings it to market. Success in this role is measured both by the quality of the positioning you author and by the flawless delivery of the holistic go-to-market plan. Essential Functions and Key Responsibilities: Go-to-Market Strategy & Execution Drive the go-to-market (GTM) launch process end-to-end: briefing cross-functional teams, recommending KPIs, reviewing marketing communication, and ensuring key messaging is consistent across every channel. Ensures operational and commercial goals are aligned ahead of each product launch. Ensures collateral, PR, social and external communication plans line up with the launch calendar. Ensures value proposition, positioning, and messaging ladder to company objectives. Own the master GTM calendar, keeping every team aware of upcoming initiatives and working in alignment to execute. Facilitate recurring cross-functional GTM meetings; hold team members accountable to strategy, deadlines, and quality of work. Define channel-specific launch phasing across wholesale, direct-to-consumer and athlete/influencer seeding. Content, Creative & Product Storytelling <span