Data And Monetization Analyst Jobs

Job Details: Job Description: Owns the qualification of manufacturing ramps to high volume, ensuring the quality and reliability of products and processes sustainably meet organizational requirements. Specifies inspection and testing mechanisms, conducts quality assessments and audits, and evaluates materials, processes, and techniques used in production to confirm compliance to quality standards associated with products and production equipment. Owns health and performance indicators for product quality and reliability that drive optimization of cost, ramp, and volume upside efforts. Drives continuous process improvement and proactive quality programs in the factories to develop a quality culture mindset. Represents quality and reliability function in product engineering and product development forums and makes recommendations in design or formulation to improve system and/or process and product reliability. Responsible for excursion management, change control, supplier audit, and driving supplier continuous improvement. Exhibits leadership amidst complex and impactful MRBs. Develops and implements systems and capabilities for early detection and containment of excursions, conducts risk assessments, and dispositions discrepant material. Synthesizes and extracts insights from structured and unstructured data using statistics and machine learning to determine the disposition of products and systems that do not meet required specifications. Responds to customer reported issues related to manufacturing and provides engineering solutions to address customer concerns and improve customer experience. Note: This role requires regular onsite presence to fulfill essential job responsibilities. <p style="text-align:inh

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week. Responsibilities Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms. Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable. Define and track service goals for availability, provisioning speed, pipeline success and query performance. Build strong practices for on-call, automation, SLAs and escalation paths. Partner with the product and engineering teams that build on our platform to turn their needs into self-service capabilities. Develop and maintain budgets, forecasts and a cost attribution model. Support our value of journalistic independence and a strong commitment to our mission

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you [Minimum qualifications] BS/MS degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to wor

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. Research Engineer, Synthetic Data About the Role As a Research Engineer on the Synth Data team at SpaceXAI, you’ll invent and scale the synthetic data that teaches our models new capabilities. You own the full loop: spotting a capability the model is missing, designing a data generation strategy, building reliable pipelines and verifiers, and validating that the resulting data actually moves the model. You form hypotheses about what data will help, build the systems to produce it at scale, run ablations, and read the resulting traces and training signals to understand why it worked (or didn’t). Your datasets go directly into frontier training runs, and shape the development of Grok models. What you’ll work on Designing end-to-end synthetic data recipes that turn raw sources (traces, documents, codebases, workflows) into large, diverse, verifiable task sets. Building strong verification and anti-hacking mechanisms so rewards are simple to compute and hard to game. Controlling difficulty and diversity so data stays learnable and reflects real usage instead of collapsing into templates. Running targeted ablations and analyses that demonstrate a dataset caused a capability improveme

Job Title Trade Compliance Manager, Master Data & Controls Job Description Trade Compliance Manager, Master Data & Controls Our Trade Compliance Master Data & Controls Manager will own the operational framework required to ensure Philips Respironics import/export part-number data, trade documentation, and broker-facing compliance information are complete, accurate, current, and actionable. You will create and maintain a controlled trade compliance data-management system that ensures every active/imported/exported part number has the required master data, documentation, regulatory flags, and ownership needed to support compliant and efficient customs clearance. Your role: Will serve as the single point of accountability for trade master data readiness across SAP plant names, Philips trade databases, customs broker platforms, and internal business workflows. The role will convert today’s reactive, RFI-driven process into a controlled, visible, governed system that enables proactive compliance execution, faster customs clearance, reduced broker escalations, and stronger regulatory readiness. Own Trade Master Data Governance: Lead the accuracy, completeness, and visibility of import/export trade compliance data across SAP, product master systems, trade databases, and broker platforms. Establish data standards, governance processes, and controls to ensure critical trade attributes such as classifications, country of origin, regulatory indicators, and supporting documentation are maintained and audit-ready. Drive Broker and System Alignment: Ensure trade compliance data is synchronized across SAP, invoices, broker databases, and other trade repositories to prevent shipment delays and clearance issues. Proactively identify and resolve data discrepancies, while managing broker inquiries through root-cause correction rather than one-time transactional fi

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. Workforce Data Analytics Integrate people, training, skills, area requirement, and operational data to identify workforce capability gaps, coverage risks, and development opportunities. Role-to-Skill Mapping Build role-to-skill mapping frameworks, skill inventories, capability profiles, and workforce segmentation models to support talent and workforce planning. Capability-Based Workforce Planning Develop capability-driven HC models, staffing forecasts, readiness dashboards, and coverage monitoring routines. Insights and Stakeholder Partnership Partner with functional M2/M3 leaders, HR, IE, Workforce Development, and AI teams to translate workforce data into clear recommendations and action plans. AI-Enabled Workforce Intelligence Apply AI-enabled analytics to improve data consolidation, pattern identification, scenario modeling, and workforce insight generation. Workforce Data Analytics People、Training、Skills、Area Requirement、Operational Dataを統合し、人材能力ギャップ、カバレッジリスク、育成機会を特定します。 Role-to-Skill Mapping Role-to-Skill Mapping、スキルインベントリ、能力プロファイル、人材セグメンテーションモデルを構築し、タレントおよび人員計画を支援します。 Capability-Based Workforce Planning 能力ベースのHCモデル、人員予測、レディネスダッシュボード、カバレッジモニタリングリズムを開発します。 Insights and Stakeholder Partnership Functional M2/M3、HR、IE、Workforce Development、AIチームと連携し、人材データを明確な提案およびアクションプランへ変換します。 AI-Enabled Workforce Intelligence AIを活用した分析により、データ統合、パターン抽出

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. Auth0 is growing rapidly and looking for exceptional new team members to help take us to the next level. One team, one score. We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you're passionate, practice radical transparency to build trust and respect, and thrive when you're collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N. About the Team Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a senior Full Stack Software Engineer to join our Acquisitions and Activation Team . This team owns the crucial first impressions of the Auth0 ecosystem. We apply rigorous, data-driven experimentation and A/B testing to optimize the entire early customer journey—from the moment a developer signs up, to the precise second they hit their "ah-ha" moment. We bridge the gap between deep technical infrastructure and user psychology, building primarily on a JavaScript ecosystem (Node.js and React) . If you are a full-stack engineer who loves blending robust software architecture with rapid, metrics-driven experimentation, this is the team for you. What You Will Do Optimize the Acquisition Funnel: Own, build, and continuously scale the entire signup experience to reduce fric

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you [Minimum qualifications] BS/MS degree in Computer Science 5+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to wor

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role As Engineering Manager for the Marketing & Privacy Engineering (MPE) team, you’ll lead two engineering pillars - Marketing and Consumer Privacy Engineering - under a shared mission to build trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. What you’ll do Lead, develop, and support engineers across the Marketing and Consumer Privacy pillars, creating an environment where they can do their best work, grow their craft, and take on greater responsibility. Establish and continuously improve a shared operating model for MPE that unites Marketing and Privacy around a common mission while creating clarity around each pillar’s priorities, technical ownership, decision-making, and ways of working. Partner closely with the Product Manager and technical lead for each pillar to translate product and business priorities into clear engineering plans and deliver against their respective roadmaps while maintaining alignment to MPE’s shared mission. Guide engineering strategy and execution across Logged-Out Web, web experimentation, marketing integrations, attribution and measurement, consent, privacy experiences, and consumer data collection. Build strong partnerships across Engineering, Product, Marketing, Privacy, Legal, and adjacent engineering teams, establishing clear ownership and relia

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Director, Sales Performance & Enablement will own the strategy and systems that drive sales performance across CLEAR’s airport network, translating commercial priorities into playbooks, tools, incentives, and field execution that improve conversion and sales volume. Reporting to the VP, Sales & Service, you’ll combine data-driven strategy with hands-on field leadership to identify what works, test it quickly, and scale it across the network. What you'll do: Own CLEAR’s airport sales execution strategy, developing scalable playbooks, tools, quality standards, and performance frameworks that drive conversion and sales volume across the network Analyze sales performance, market dynamics, and field insights to set network targets, identify performance opportunities, prioritize investment, and translate data into clear actions for the field Build a rigorous test-and-learn engine across high-volume airports, rapidly piloting sales approaches, scripts, tools, and incentives and using results to determine what scales network-wide Partner with Field Operations leaders to embed sales standards, coaching rhythms, and performance cadences into existing station operations, driving consistent execution through influence and shared accountability Lead a high-performing team focused on sales performance intelligence and field quality, while partnering with People and Finance to design commission structures, incentives, and recognition programs that reinforce the right front-line behaviors How you'll measure success: Network-wi

We’re here for one reason and one reason only – to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We’ve made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet. Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows. Job Description Kite is seeking a highly motivated and experienced Associate Director, Sales Analytics and Operations to join our team. The ideal candidate will play a critical role in driving sales planning and performance through data-driven insights and operational excellence. This position requires a strategic thinker with robust , hands on , ana lytical skills and a deep understanding of the biotech industry. Responsibilities include:

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Marketing Strategy and Analytics Manager, Social Impact. About the job Twilio.org is seeking a Sr. Marketing Strategy and Analytics Manager to serve as the dedicated operational business partner to our Social Impact marketing leadership. Sitting at the intersection of Go-To-Market (GTM) Strategy, marketing operations, and advanced data modeling, you won't just report on what happened, you will design the automation, attribution, and account prioritization engines that drive what happens next. This is an ideal opportunity for: The Analytics Strategist ready to drive decisions: You have deep technical data chops (SQL, Python, modeling) but want to move beyond reporting to directly author investment proposals, influence leadership, and see your analyses translate into decisions being made. The Specialized Marketer ready for full-lifecycle ownership: You have deep subject-matter expertise in one domain (such as demand ge

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Director, Sales Performance & Enablement will own the strategy and systems that drive sales performance across CLEAR’s airport network, translating commercial priorities into playbooks, tools, incentives, and field execution that improve conversion and sales volume. Reporting to the VP, Sales & Service, you’ll combine data-driven strategy with hands-on field leadership to identify what works, test it quickly, and scale it across the network. What you'll do: Own CLEAR’s airport sales execution strategy, developing scalable playbooks, tools, quality standards, and performance frameworks that drive conversion and sales volume across the network Analyze sales performance, market dynamics, and field insights to set network targets, identify performance opportunities, prioritize investment, and translate data into clear actions for the field Build a rigorous test-and-learn engine across high-volume airports, rapidly piloting sales approaches, scripts, tools, and incentives and using results to determine what scales network-wide Partner with Field Operations leaders to embed sales standards, coaching rhythms, and performance cadences into existing station operations, driving consistent execution through influence and shared accountability Lead a high-performing team focused on sales performance intelligence and field quality, while partnering with People and Finance to design commission structures, incentives, and recognition programs that reinforce the right front-line behaviors How you'll measure success: Network-wi

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. We are the R&D DRAM Device and Cell Technology Group at Micron, working at the heart of future memory scaling in an industry‑leading 300mm R&D facility. We explore new device concepts, push the limits of DRAM cell performance, and turn deep physics understanding into manufacturable technology. If you enjoy learning fast, solving hard problems, and collaborating across process areas, this team delivers! In this role, you will play a critical part in defining and validating future DRAM device and cell technologies. As a Device Engineer, you will characterize memory arrays, analyze electrical behavior and failures, and influence process and material decisions that directly impact yield, quality, and performance. Your work will shape the electrical foundation of next‑generation DRAM products. Responsibilities: Define and drive electrical specifications for DRAM, Advanced DRAM and emerging memory technologies, translating product requirements into device-level targets for performance, reliability and scaling Design, implement, and interpret experiments to optimize cell and access device performance. This includes running materials experiment, developing new integration schemes and defining new characterization methodologies Develop physical and electrical models (TCAD and compact modeling) to identify performance, yield and reliability limiters, using advanced materials characterization, device physics insight, and statistical data analysis Creat