• Define and broadly communicate DoiT's point of view on platform optimization across Kubernetes and emerging data platforms, grounded in real-world operational experience. • Create and maintain the canonical narratives, mental models, and technical framing of the problem space and its associated solutions that internal teams use as a source of truth. Nothing ships from PMM for Platform that doesn't trace back to your source-of-truth docs. • Ensure the story remains coherent and consistent across products, use cases, and customer segments as the platform evolves. • Work directly with the VP of Product as the primary marketing interface for the Platform business unit. When multiple features, capabilities, or integrations ship in a quarter, decide which ones matter to the market and deserve PMM investment. Filter noise for the organization. • Translate product roadmap into market narrative, connecting what we're building to why buyers should care. • Develop high-quality content such as webinars, technical talks, blogs, and whitepapers that educate the market and shape demand. • Speak publicly at conferences, industry events, and community forums, representing DoiT as a trusted authority. • Engage with practitioner and open source communities to stay close to how platforms are actually built and operated. • Build and deliver live demos, walkthroughs, and reference architectures that demonstrate how optimization works in real environments. • Own the living competitive view for the Platform business unit. Not just battle cards, but the ongoing judgment of where we win, where we lose, and what to do about it. • Own executive-level positioning and objection handling in complex or strategic conversations. • Speak regularly with customers and prospects to understand pain points, objections, and emerging patterns across industries. • Help define and refine ICPs and problem domains, including how different industries approach automation, risk, and control. • Synthesize insights into clear, actionable input for Product and leadership to influence roadmap and strategic direction. • Challenge short-term or misleading narratives when they undermine long-term category leadership and trust.

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for: The Circle Security Team works to protect Circle; our customers, clients, and partners; and the financial markets upon which we rely. As a member of this team, you will serve as the technical owner of Circle's security data platform, responsible for ensuring that security telemetry across internal and external systems is correctly architected, ingested, normalized, and leveraged to drive detection and response outcomes. You will lead critical initiatives across both security operations, collaborating across engineering and business teams to scale our capabilities as the company grows. Also note that this position will require you to perform on-call duties mainly during working hours to support security operations, and you will assist the team with the occasional night time and weekend incident. What you'll work on: - Own the architecture, design, and evolution of Circle's security data platform, ensuring scalable ingestion, normalization, enrichment, and delivery of telemetry across a growing and complex set of internal and external data sources. - Design and implement ETL/ELT pipelines for high-volume security data to support reliable detection, investigation, and response workflows. - Build and maintain streaming and batch data pipelines to enable real-time detection and retrospective security analysis. - Define and enforce data standards, schemas, and normalization frameworks to ensure consistent and high-quality telemetry across systems. - Evaluate and optimize log ingestion, parsing, and preprocessing pipelines to improve performance and downstream usability in SIEM and analytics platforms. - Act as a senior member of the Detection & Response function, participating in incident response, investigation, and resolution of security events. - Develop and enhance detections, playbooks, and response workflows, leveraging high-quality telemetry and automation. - Identify gaps in visibility during incidents and drive systemic improvements in logging, data ingestion, and detection coverage. - Provide strategic direction and roadmap for the evolution of security data architecture and detection capabilities as the business scales. - Take on-call shifts (every 3rd week and occasional weekend). What you'll bring to Circle: - Strong ability to work collaboratively across teams during high-stress situations, which sometimes involves after hours work. - Ability to manage multiple competing priorities and use good judgment to establish order of priorities on the fly. - Self-motivated and creative problem-solver able to work independently with minimal guidance. - Strong communication skills, with the ability to translate complex technical concepts into clear recommendations. We're looking for strong, impactful work experience, which typically includes: - 8 - 10+ years of experience in security engineering, detection & response, or data engineering. - Proven experience designing and operating large-scale data pipelines (ETL/ELT) in cloud environments. - Experience building or owning security data platforms or high-volume log ingestion pipelines. - Hands-on experience with cloud-native data services (AWS preferred: S3, Glue, Athena, MSK/Kafka, etc.). - Strong understanding of streaming architectures (Kafka, Kinesis, Pub/Sub, or equivalent). - Experience handling high-volume security telemetry (endpoint, identity, network, SaaS, and cloud logs). - Expertise in data normalization, schema design, and event modeling for security use cases. - Strong programming skills in Python and SQL (or similar languages). - Experience working with SIEM, SOAR, and analytics platforms. - Experience with incident response, threat detection, and security investigations. - Experience in AWS + EKS environments required; exposure to GCP or OCI is a plus. - Experience leveraging AI/ML tooling for detection, automation, or analytics is a plus. - Experience with building Detections As Code. - Professional or hobbyist blockchain exposure is preferred. You are the right person if you: - View security as a data and engineering problem first. - Are comfortable operating across both hands-on incident response and long-term architecture design. - Can identify gaps in telemetry and design scalable solutions to close them. - Use real-world incidents to drive systemic improvements in detection and data quality. - Think in terms of systems, pipelines, and long-term strategy, not just alerts. - Are self-reliant, curious, and proactive in solving complex problems. - Communicate clearly and collaborate effectively across teams. Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $225,000 - $290,000 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The Data Platform team builds and operates systems to centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems. What you’ll be doing (ie. job duties): - Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores. - Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase. - Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms. - Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing. - Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts. What we look for in you (ie. job requirements): - You have at least 5+ years of experience in software engineering. - You have Strong Python, Go, or Java backend development skills. - You have general experience working with data systems or data pipelines. - You are familiar with design patterns such as scale-out, caching, key/value, and columnar. - You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to Have: - Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services Job #: P76780 Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. S4/o9 Manager, Data Job Description Summary You will be crucial in supporting our S4/o9 program and business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to govern, maintain and use data for business solutions/insights. How you will contribute o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9 o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully. o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy. o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments. o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles. o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards) o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision o Good communication skills to promote cross-team collaboration o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus) o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc). More about this role Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How you will contribute o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9 o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully. o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy. o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments. o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles. o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards) o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision o Good communication skills to promote cross-team collaboration o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus) o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc). No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science