Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. Role: Oracle Fusion Techno Functional Consultant Location: KSA onsite We are seeking an experienced Oracle Fusion SCM SME with a strong techno-functional background to support SCM reporting, data integration, migration, and analytics initiatives. The ideal candidate should possess deep expertise across Oracle Fusion SCM modules including Procurement, Inventory Management, Order Management, Finance, Supply Chain Planning, and Costing, along with strong SQL and data mapping capabilities. Experience in source-to-target mappings, ETL/ELT processes, reporting requirements gathering, and data warehousing concepts is essential. Exposure to HRMS, Project Management, and Primavera modules will be an added advantage. Key Responsibilities • Act as the primary functional authority for Oracle Fusion SCM modules including Procurement, Inventory Management, Order Management, Finance, Supply Chain Planning, and Costing. • Engage with business stakeholders to elicit, analyze,
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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. Responsibilities: - Successfully implement and coordinate transportation logistics to achieve the goal of on-time delivery - Develop and align warehouse policies and procedures to ensure compliance with all relevant regulations - Uses advanced SAP functions, such as goods receiving, goods issuance, goods return, inventory control and product shipping - Work with stakeholders to meet customer needs, optimize inventory levels, and space optimization - Participate in special projects and coordinate implementation of warehouse management and provide technology solutions for problem-solving - Support on regular internal/external audits and performance reviews of local warehousing operations, identifying improvement opportunities and implementing corrective actions Qualifications & Skills: - Strong communication and interpersonal skills to effectively collaborate with diverse teams - Proven experience managing warehouse/logistics, including inventory maintenance, transportation, and layout - Ability to compete in a fast-paced environment and balance multiple tasks simultaneously - Be familiar with various systems operations and applications (e.g., SAP, basic MS Office programs) - Increase knowledge of material safety concerns - Monitors warehouse space utilization and bin location - Using and Leveraging AI at work Education and Experience: - Bachelor's degree in Logistics Management, Business Administrati
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. Job Summary Micron is seeking a highly motivated Gas and Chemical Storage Coordinator to support warehouse operations, inventory management, and outsourced service provider performance for chemical, gas, and raw material storage facilities. This role serves as the primary liaison between Facilities, Manufacturing, vendors, and internal customers to ensure safe, compliant, and reliable material handling while maintaining inventory accuracy and supply continuity. The successful candidate will drive operational excellence, regulatory compliance, vendor coordination, audit readiness, customer service, and continuous improvement initiatives while fostering a culture of safety, accountability, collaboration, and innovation in support of Micron's core values and semiconductor manufacturing operations. Responsibilities : Lead warehouse operations with safety as the top priority, ensuring compliance with EHS requirements, OSHA regulations, DOT standards, dangerous goods handling requirements, and Process Safety Management (PSM) protocols. Foster a strong safety culture through training, audits, risk assessments, incident prevention initiatives, and proactive safety observations. Coordinate warehouse activities for chemicals, photoresists, gases, and other raw materials, including receiving, storage, transportation, issuance, and disposition. Manage outsourced vendor operations by coordinating daily priorities, staffing coverage, deliveries, system access, and support for customer requirements.
Senior Marketing Data Analyst Location: Charlotte, NC | In-office Employment Type: Full-time CPI Security, a leader in security, smart home, and business automation, is hiring a Senior Marketing Data Analyst to join our Marketing team in Charlotte, NC. In this role, you’ll own the marketing data and analytics ecosystem—from click tracking to lead conversion reporting. You’ll use SQL, GA4, Tableau, Salesforce, Invoca, GTM, and related platforms to build trusted reporting, improve attribution, identify performance trends, and help channel owners make smarter decisions about spend, testing, and strategy. What You’ll Do Build and maintain SQL-backed datasets for campaign, channel, lead, attribution, and conversion reporting Analyze marketing performance across paid search, paid social, display, email, web, offline, and other channels Partner with channel owners to answer key business questions: what happened, why it happened, and what to do next Standardize marketing KPIs including leads, conversion rates, CPL, CPA, ROI, attribution windows, and funnel metrics Develop Tableau dashboards and recurring reports based on trusted data models Monitor data quality, tracking gaps, duplicates, reconciliation issues, and reporting inconsistencies Support attribution, media mix, lead quality, funnel conversion, and budget allocation analysis Design, execute, and analyze A/B tests, multivariate tests, and marketing experiments QA and troubleshoot tracking across GA4, GTM, Salesforce, Invoca, paid media platforms, email, web, and offline channels Present clear, actionable insights to Marketing, Sales, agencies, and leadership What We’re Looking For 3+ years of experience as a marketing analyst, marketing data analyst, data analyst, or similar role Strong SQL skills, including pulling, joining, cleaning, and aggregating marketing and CRM data Experience supporting digital or performance marketing teams with actionable reporting and analysis Hands-on experience with Google Analy
At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. We are looking for a Senior Software Engineer, Marketing Platform, to build the systems that help people discover Curai Health and find care. You’ll own the web, measurement, and data integration systems to support marketing and growth. What You'll do as a Senior Software Engineer, Marketing Platform In a typical day in the life of a Curai Senior Software Engineer, you’ll: Turning priorities from marketing into scoped engineering projects Define funnel events, implement client and server side tracking, and reconcile conversion data with warehouse reporting. Build SQL models and dashboards to examine cost per visit and cohort behavior Support the build pipeline and ClickHouse data behind our MTA tooling Designing, building, and maintaining web features and the APIs and data flows supporting them Investigating site performance, conversion, and data quality issues, then shipping improvements Reviewing code, improving tests and monitoring, and making technical decisions with the broader engineering team What You'll Need We recognize not everyone will have all of these requirements. If you
Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. We are looking for a passionate, detail-driven Senior Marketing Events Contractor to join our marketing team at Forward. In this role, you will be a key team member supporting large scale industry events and execution of turnkey field events. This role will be the operational backbone of our events ensuring seamless execution, tracking budgets and deadlines and driving cross-functional collaboration with our peers and stakeholders. You bring prior tradeshow experience, a meticulous eye for detail, and the ability to independently own events end-to-end. You're the kind of person who catches the typo everyone else missed, notices a scheduling conflict before it becomes a problem, and takes pride in being the person a team can rely on. Position Responsibilities Independently plan and execute turnkey tabletop events from start
At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for an Industrialization Engineer Intern to join our Manufacturing & Quality Engineering team at our Longueuil factory. You will work on the production floor with assembly, warehouse, and quality teams to make our processes faster, safer, and more consistent. You will also be part of a global team that supports factories and suppliers across North America and Asia. Responsibilities: Map current-state material flow and factory/warehouse layout, then propose improvements that reduce waste and operator travel. Run cycle time studies across assembly and warehouse operations to find bottlenecks and improve throughput and line balance. Audit SOP adherence on the floor, identify gaps, and drive corrective actions or SOP updates. Lead 5S audits and implement visual controls and workplace organization standards. Build dashboards that track throughput, WIP, cycle time, and SOP compliance, and turn the data into recommendations. Create visual work instructions, standard work sheets, and layout drawings to support operator training. Support continuous improvement projects, including ergonomic assessments, workstation redesign, and tooling and fixture improvements. Prepare processes for engineering changes (ECOs) and new product introductions, including layout changes and workstation validation. Partner with Quality to investigate production defects and contribute to root cause analysis and PFMEA updates. Experience: Currently enrolled in a Bachelor's or Master's program in Industrial, Manufacturing, or Mechanical Engineering, or a r
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are actively looking for an experienced front-end engineer to join our Web Platform team. As a vital member of the team, you will be the architect, designer, and developer across a broad range of high-impact projects. You will act as a force multiplier, partnering closely with 8+ product teams to help build and scale a robust web-based platform that supports a suite of connected devices for enterprise customers at scale. In this role, you will go beyond building features; you will be instrumental in modernizing a massive codebase through microfrontend re-architecture and pioneering AI enablement across all of web engineering. What You Will Do Accelerate architectural evolution: Execute and scale our ongoing microfrontend transition across a massive, complex codebase to ensure high modularity, scalability, and long-term maintainab
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced leader for our Treasury, Liquidity & Capital Planning team. In this foundational role, you will own the forward view of the company's cash and balance sheet as Anthropic manages one of the fastest-growing balance sheets in technology alongside some of the largest infrastructure commitments any company is making. You will report to the Head of Investments & Market Risk and work closely with FP&A, Accounts Payable, Collections, Controllership, Legal and Infrastructure Finance. This is a rare opportunity to build a liquidity and capital planning function from the ground up at a high-growth AI company. You bring a strong background across multiple pillars of Treasury and a track record of driving complex, cross-functional initiatives through to completion with limited direction and full accountability. You are proficient in using AI tools to drive automation and process optimization, and you will use Claude to build much of the tooling that makes Treasury faster and more precise. Key responsibilities Build, own and continuously improve a direct cash flow model and forecast by legal entity and currency, tied to bank data at the front end and to FP&A's operating plan, so the company sees liquidity needs well before decisions have to be made Establish a disciplined forecasting cadence across monthly, quarterly and annual cycles, with forecast-to-actual variance analysis built on bank transaction data Partner with FP&A and Strategic Finance to support capital allocation decisions with scenario and sensitivity analysis and clear liquidity trade-offs Monitor and manage
About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! Prior to applying please note: We are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1, CPT or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. This role is hybrid, requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St, San Francisco, CA). About the Role Taskrabbit's Data Engineering team is looking for a Senior Analytics Engineer to build and maintain the data models that power decision-making across the company. You'll sit at the intersection of data engineering and analytics — turning raw data into trusted, well-documented datasets that business teams rely on every day. This is a hands-on, individual-contributor role: you'll own key parts of the data model layer end to end, partnering closely with data engineers, analysts, and business stake
Senior Partner Account Manager - EMEA (L5-6) Location: EMEA (London, in office) Experience: 8–12 years Travel: 50%+ Reports To: Director, SI Partnerships Focus: Strategic channel management and geo expansion The Sigma Partnerships team is hiring a Senior Partner Account Manager in our London office to support Sigma's continued growth across EMEA. This role will strategically own a portfolio of System Integrator (SI) Partners and will report to GTM leadership within the partner team. This role will drive the growth and success of Sigma across EMEA and collaborate closely with sales and marketing teams to ensure success. Sigma's SI partner ecosystem is growing rapidly, both globally and in the region, to meet rising demand for professional services around Sigma and the Modern Data Stack. The ideal candidate brings a proven track record managing partners, an established network of partner contacts across the EMEA data space, and comfort operating in a high-growth, fast-paced environment. What you will be doing Partner Management: Design and execute GTM activities for a portfolio of SI partners across EMEA, growing both partner-sourced ACV and services revenue for our partners. Field Alignment: Work directly with the sales team to coordinate co-selling between partners and Sigma throughout sales cycles, and to recommend partners for services engagements at Sigma customers. Relationship Management: Build and maintain strong relationships with SI partner executives and employees through regular communication, joint marketing and sales campaigns, and prompt resolution of partner issues and concerns. In-Market Presence: Represent Sigma at industry events across EMEA to strengthen our brand equity. Partner closely with the Field Marketing team to run events and meet with prospects, customers, and partners to share Sigma’s vision. Required Qualifications 8+ years of partner management experience in enterprise SaaS, or
AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We desig
The Data Architect plays a critical role in designing and building foundational data platforms that enable customers to move, organize, and analyze their business data at scale. In this position, you will partner with client team members to architect, implement, and deploy data warehouse solutions across multiple cloud platforms and customer organizations. This position requires deep expertise in medallion layer design, ELT implementation, semantic layer architecture and BI tool integration. You should be able to lead architecture discussions, guide technical execution, and mentor junior engineers. As a senior technical contributor, you will take ownership of complex data warehouse solutions, conduct technical discovery with customers, and ensure scalable, maintainable data architectures. You will act as a trusted technical advisor to both internal teams and customer stakeholders while driving best practices in data design, pipeline development, semantic layer modelling, and BI implementation. Responsibilities Design medallion layer data warehouse schemas (bronze, silver, gold) on Databricks, Redshift, Snowflake and/or BigQuery. Select and implement ELT tools to move data from source systems into the warehouse. You'll evaluate options, configure pipelines, and troubleshoot performance issues. Build and optimize semantic layers on top of the warehouse so analysts and business users can query data without writing SQL. Connect data warehouses to BI platforms (Tableau, Looker, Power BI, or similar) to enable self-service analytics and reporting. Translate business requirements into scalable technical integration architectures and implementation strategies. Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows. Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability. Advise on data governance, quality checks, and cos
Every dataset at Spotify, from the data behind creator royalties to the signals powering recommendations, is registered, published and traced through systems our team builds. We're the source of truth for what data exists at Spotify, where it lives, who owns it, and how it flows from one pipeline to the next. These systems sit on the critical path of the platform. Data teams use them every day to publish and find data, and other platform teams build on them for access, retention, governance and incident response. That means our work is judged on correctness and reliability, because every system built on top of ours is only as good as the metadata we provide. This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale, capturing lineage across batch and streaming workloads, managing schemas as they evolve, and guaranteeing that consumers only read complete data. We build on open standards like OpenLineage and Apache Iceberg, and define the internal standards for naming, storage and metadata that the rest of Spotify builds against. As the platform takes on new storage technologies and new kinds of data assets, those standards and the systems behind them have to evolve with it, and you'll help decide how. What You'll Do Build and Evolve Core Services: Design, build and operate the backend services and APIs behind our data catalog, lineage and publishing systems, and evolve them as the platform adopts new storage technologies and new kinds of data. Hold them to a high bar for correctness, performance and reliability. Build Data Pipelines: Develop and run the batch and streaming pipelines that keep our metadata current, processing platform events and audit logs to capture how data is created and changed, and turning lineage and metadata into data products other teams build on. Own Projec
MID/SENIOR DATA ENGINEER – CAPCO POLAND We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. At Capco Poland , we’re not just another consultancy – we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help our clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth – both for our clients and ourselves – and that means attracting talented professionals who want to develop their skills, take ownership, and make a real impact. We’re proud to be: Trailblazers in banking, payments, capital markets, wealth, and asset management Champions of an agile, nimble, and innovative work environment Dedicated to building a team of talented professionals who share our drive and vision THE ROLE We are looking for a strong Mid/Senior Data Engineer to join our growing data engineering team and contribute to building scalable, reliable data solutions for our financial services clients. You will work with modern data technologies and cloud platforms, developing and maintaining data pipelines, processing large datasets, and supporting the delivery of enterprise-scale data solutions. This is a great opportunity for a Data Engineer who already has hands-on commercial experience and wants to further develop their expertise in Python, Apache Spark, Hadoop, Linux, and Google Cloud Platform (GCP) while working on complex international projects. WHAT YOU’LL DO Design, develop, and maintain scalable data pipelines and data processing solutions. Develop data transformation and processing workflows using Python and Apache Spark . Work with large-scale datasets in distributed enviro
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