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Sr. Data Engineer, EU Books Analytics and Engineering London, England, GBR Amazon EU Books serves millions of customers across European markets with one of the world's largest book selections, spanning Kindle, print, and audiobook formats. The EU Books BI and Data Engineering team is transforming from a traditional reporting function into an AI-enabled decision intelligence engine. We are building the data foundation that powers self-service analytics, predictive models, and domain-specific AI applications across the EU Books organization. We are looking for a Data Engineer III to own and evolve the data architecture that supports multiple business domains including Demand, Pricing, Deals, Finance, and EU Books Leadership. You will build the infrastructure layer that connects raw business signals into reliable, governed, model-ready datasets, enabling both operational reporting and the advanced analytics capabilities we are building toward. The current data landscape spans multiple systems, teams, and marketplaces. You will consolidate, govern, and automate it, reducing stakeholder dependence on manual BI work and enabling self-service access at scale. Key job responsibilities - Own and evolve team-level data architecture: ingestion, transformation, storage, serving, and monitoring across multiple EU marketplaces and business domains - Design and build scalable, self-healing data pipelines that integrate business signals from diverse sources (demand, pricing, customer behavior, operational metrics) - Define data models and schemas optimized for both operational reporting and statistical/econometric model consumption - Build automated data quality frameworks that ensure accuracy and reliability for high-stakes business decisions - Engineer self-service data access through metadata-rich catalogs, governed query layers,

Principal Technical Program Manager, Amazon Fashion & Fitness (F2) Tech Seattle, Washington, USA We are seeking a Principal Technical Program Manager to lead measurement and impact analysis of customer experience initiatives across our returns reduction program. This role will drive data-driven frameworks to quantify the multi-million dollar impact of CX features on return rates, working independently across 30+ organizations to establish measurement standards and analytical capabilities that enable systematic returns optimization. You will operate in an ambiguous space requiring deep technical judgment to build consensus across Directors and VPs on measurement methodologies, experimentation frameworks, and the trade-offs between topline growth, long-term profitability, and customer satisfaction. This position demands expertise in establishing zero-lag predictive metrics, integrating returns awareness into weblab bar-raising processes, and creating the analytical infrastructure necessary to embed returns measurement into our operational excellence culture. The role focuses on transforming how we measure CX impact on returns-from current 45-day lag metrics to real-time predictive capabilities-enabling teams to remediate issues before launch decisions are finalized while maintaining Amazon's bias for action in experimentation. Key job responsibilities Measurement Framework Development & Ownership Define and deliver the end-to-end strategy for measuring CX initiative impact on returns across 30+ departments. Own the roadmap for zero-lag predictive metrics that eliminate 45-day measurement delays, enabling real-time returns analysis in experimentation design. Technical Solution Architecture Decompose complex returns measurement challenges into scalable technical solutions. Partner with Principal Engineers, economists, and data scientists to design predictive models, analytical frameworks, and automated monitoring infrastructure for standalone returns metrics.

Dillons The Kroger Co.

Junior Application Engineer Rugby posted: Posted 3 Days Ago

Agentic Data Specialist (Multiple Levels) Canada - Toronto; Ontario - Remote; British Columbia - Remote; Canada - Vancouver About the Role: We are seeking a technically adept and innovative Agentic Data Specialist to join our Forward Deployed Engineering Team. You will serve as the crucial link between our advanced AI agents and the wider enterprise technology landscape. Your primary responsibility will be to design, build, and manage the data and integrations that enable our Agentforce agents to take meaningful, autonomous actions across various business systems. You will not only connect agents to systems but also orchestrate a collaborative network of specialized AI agents, ensuring they work together seamlessly to solve complex business problems. If you are an expert in connecting disparate systems and are excited by the challenge of enabling AI to act upon its insights, this role is for you. As an Agentic Data Specialist , you will serve as the crucial link between our advanced AI agents and the wider enterprise technology landscape. Your primary responsibilities will focus on designing, building, and managing the data, systems, and logic that enable our Agentforce solutions to take meaningful, autonomous actions. Your Impact: Data Flow and Transformation: Manage the real-time flow of data to and from the AI agent. Implement necessary data transformations to ensure compatibility between different system formats and schemas. Architect AI Grounding Systems: Design, build, and maintain cutting-edge AI data integration technologies, including RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases, specifically to ground Agentforce solutions

Senior Manager, P2P Support Desk PA - Philadelphia, 1701 John F Kennedy Blvd posted: Posted Yesterday

SysDE I - Multimedia, Hardware Compute Group Bengaluru, Karnataka, IND Are you passionate about graphics systems and display technologies that power millions of devices? Join our team to work at the intersection of GPU drivers, display compositors, and system-level integration, delivering seamless visual experiences on cutting-edge consumer devices. As a SysDe I, you will be responsible for: - Integrating and enabling GPU graphics drivers at both kernel (driver) and userspace (Mesa) levels, ensuring optimal rendering performance and stability - Working with ARM Mali DDK for GPU driver bring-up, configuration, and performance tuning across product platforms - Enabling and maintaining Weston/Wayland compositor stack, including shell customization, display output configuration, and client-compositor interactions - Driving systemic integration across the graphics pipeline, from kernel DRM/KMS drivers through userspace graphics libraries to compositor and application layers - Debugging and resolving complex cross-layer graphics issues spanning kernel drivers, EGL/GLES, Vulkan, and display frameworks - Collaborating with silicon vendors, internal platform teams, and application teams to deliver production-quality graphics solutions - Developing automated test frameworks and validation tools for graphics subsystem verification Key job responsibilities - Own the integration, bring-up, and validation of GPU graphics drivers (ARM Mali DDK) at the kernel level across multiple product platforms, ensuring driver stability and performance targets are met - Enable and maintain the userspace graphics stack (Mesa, EGL, GLES, Vulkan) to deliver optimized rendering pipelines for consumer device use cases - Drive Weston/Wayland compositor integration, including shell configuration, display output management, multi-client compositing, and input handling - Perform end-to-end

Eligibility Consultant East Lansing-3100 West Road posted: Posted 8 Days Ago

Forward Deployed AI Integrator (UAE National Only), Field Engineering Dubai, ARE Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically - driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team. The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards. The role partners with FE engineers, regional leads, and cross-functional GenAI platform teams to deliver measurable productivity outcomes within the region. This is a hands-on execution role - not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region. Key job responsibilities Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption Work with GenAI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments Coach and enable FE engineers on practical, approved AI

Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

Principal DevOps Engineer Bethesda, MD posted: Posted 30+ Days Ago

Target Database Manager Hampton, VA posted: Posted Yesterday

Senior UX Design Technologist Hyderabad, Telangana, IND Ink is the Amazon Business design system that supports the unique needs of business customers and their procurement goals. Ink provides designers, writers, and engineers with reusable, accessible components and patterns that enable high-quality, cohesive, and scalable experiences across Amazon Business. By leveraging Ink, teams reduce delivery time and are better equipped to deliver consistent, bar-raising customer experiences. As Amazon Business accelerates its adoption of AI-assisted design and agentic workflows, Ink is playing a critical, strategic role-one that defines quality, enables scale, and operationalizes AI in a system-compliant, customer-obsessed way. This role is foundational to that evolution. ABOUT THIS ROLE The Senior Design Technologist on the Ink Team sits at the intersection of design systems, front-end architecture, and AI-assisted tooling. This role is responsible for transforming AI-assisted design from a collection of experiments into a scalable, supported, system-integrated workflow across Amazon Business. You will partner deeply with designers, engineers, and AI platform teams to ensure that emerging tools produce Ink-compliant, accessible, and production-ready outputs. ABOUT YOU You'll be equal parts inventor and catalyst-pushing the boundaries of what's possible while reimagining our design-to-development workflow to eliminate bottlenecks and accelerate innovation. As a Senior UX Design Technologist, you will... Enable AI-Ready Design Systems - Lead the re-architecture of Ink's Figma libraries to make them AI-ready, system-intelligent, and compatible with agentic-assisted design workflows - Ensure design libraries, tokens, and component structures can be reliably consumed by downstream AI tooling - Define best practices for structuring design

Robotics & Computer Vision Engineer, GES NA Ops Engineering Bellevue, Washington, USA Amazon is seeking an innovative, systems-oriented Computer Vision & Automation Engineer to help design and deploy next-generation intelligent automation solutions across global fulfillment networks. This role focuses on advancing physical AI and autonomous systems, including SLAM-based navigation, localization, and autonomous decision-making in real-world environments The ideal candidate is a hands-on interdisciplinary engineer with expertise spanning hardware systems or embedded/edge computing, and automation environments, capable of bridging the gap between science (AI/ML models) and real-world deployment in industrial settings. As a Robotics Engineer, you will partner closely with scientists, controls engineers, and operations teams to translate computer vision and AI capabilities into scalable, production-grade systems. You will lead the development and deployment of sensor-driven automation solutions, ensuring seamless integration across hardware, software, and control layers. Key job responsibilities - Lead end-to-end deployment of computer vision-enabled automation systems across material handling environments, from concept through production rollout - Design and develop integrated systems combining cameras, sensors, edge compute devices, and control interfaces to enable real-time monitoring and decision-making - Bridge AI/ML models with physical systems by enabling reliable data capture, processing pipelines, and low-latency inference on industrial equipment - Own hardware-software integration, including device selection, network configuration, edge processing, and connectivity to cloud or on-prem systems - Work closely with scientists to productionize computer vision models, ensuring robustness, scalability, and performance in live operational environments - Develop and execute system validation strategies including test plans, field trials, and performance benchmarking

Winder-2 Dammam posted: Posted Yesterday

WW Security GTM Specialist, WW Security, Identity, Governance GTM Seattle, Washington, USA The WW Security GTM Specialist drives scale partner engagement across the AWS Security partner network. This role focuses on working with partners to build service and software capabilities with native AWS Security services in order to qualify for Security Partner GTM benefits. The specialist coordinates with third-party agencies to execute joint GTM activities while ensuring partners are accurately reporting co-sell results through ACE (AWS Customer Engagements) by submitting opportunities with security services attached. The ideal candidate thrives in fast-paced, metric-driven environments and has a demonstrated ability to coordinate complex multi-stakeholder programs at scale. Key job responsibilities • Work directly with partners to build service delivery practices and software integrations using native AWS Security services, enabling them to meet eligibility requirements for Security Partner GTM. • Coordinate with the third-party agencies responsible for joint GTM execution, validating that partner engagement activities align with program goals and security service adoption targets. • Ensure partners are reporting co-sell results accurately through ACE (AWS Customer Engagements), verifying that submitted opportunities include the appropriate security services attached. • Collaborate with partner alliance leads, marketing teams, and architects to drive security service adoption and pipeline generation across the partner base. • Onboard newly eligible partners into Security Partner GTM and ensure access to GTM support, campaign assets, and enablement resources. • Support partner enablement by coordinating technical readiness activities, capability assessments, and solution validation efforts. • Monitor campaign and pipeline metrics including opportunity submission

Student Internships - Initiative Application (m/f/d) Gratkorn posted: Posted 30+ Days Ago

Quality Insights Manager, Ring Blink Customer Support Quality Assurance (CSQA) team Hawthorne, California, USA Ring and Blink Customer Support assists millions of customers annually with product and account questions. Associates resolve inquiries ranging from technical support to account management, delivering consistent and exceptional customer experiences. The Customer Support Quality Assurance (CSQA) team, as part of the broader Neighbor Excellence organization, provides data-driven insights to elevate associate performance across Ring and Blink customer service interactions. CSQA partners across Operations, Learning, Content, and Technology to implement enhancements that drive customer satisfaction. We're building next-generation quality analytics and AI-driven measurement systems. To support this transformation, we're seeking a highly technical professional who combines AI/ML knowledge with contact center quality experience to execute analytics and reporting that drive customer satisfaction. As our Quality Insights Manager, you'll own dashboards, reporting, and analytics that surface trends, themes, and defects in quality performance. You'll leverage AI-enabled tools to accelerate analysis, validate AI model outputs to ensure accuracy, and ensure multilingual parity across evaluations. You'll partner with Data Science and Technology teams to support AI/ML innovation in Quality Monitoring Systems and AI-automated evaluation infrastructure. Your insights enable stakeholders to make data-driven decisions that improve associate quality and customer experience. Success in this role means stakeholder confidence in data accuracy and reliability, timely delivery of clear insights, consistent AI-driven quality evaluations, and effective cross-functional partnerships that enable stakeholders to execute improvement actions that result in measurable improvement in associate quality results. Key job responsibilities Insight Generation & Root Cause

Retail Assistant (Athlete) - Temp - PT - Swindon Swindon, United Kingdom posted: Posted Today

Praktykant w dziale Advanced Structures - staż płatny (K/M) PL-24-WROCLAW-011 ~ Bierutowska St 60-65 ~ BLDG 11 posted: Posted Yesterday

Data Engineer, ShipTech Analytics Hyderabad, Telangana, IND Join ShipTech Analytics (STA) as a Data Engineer to build the data and analytics backbone powering Amazon's global transportation network. You'll contribute to our vision of building an intelligent, autonomous, and scalable performance management and decision support system across Amazon Transportation. As a Data Engineer I, you'll work on building standardized data solutions that empower operations teams worldwide. You'll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build data tools that enable self-service analytics and automate operational tasks, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network. Key job responsibilities - Design and build scalable near-real-time (NRT) streaming and batch data pipelines supporting Amazon's global transportation network. - Build data products and data tools that streamline the complete data lifecycle including data ingestion, processing, backfill, storage, vending, and operational support modules. - Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver datasets and data tools that enable faster, more informed decision-making - Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience - Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation - Leverage AWS cloud technologies to transform raw data into actionable metrics - Drive continuous improvement through code reviews, design discussions, operational best practices, and security compliance A day in the life You work backwards from what stakeholders need, clarifying ambiguities

Technical Product Marketing Director California - San Francisco At Salesforce, our Product Marketers craft sharp product messaging and positioning, go-to-market programs, campaigns, events, and sales enablement. Our success is defined by our ability to deliver relevant content and activations that move people to act. We are looking for a strategic, highly motivated, and technically fluent Director of Product Marketing to define how the market understands MuleSoft's role in the agentic enterprise. In this role, you will own MuleSoft's portfolio narrative and drive its activation across the full product marketing lifecycle - including positioning, launch, analyst relations, and core field enablement assets. You will work cross-functionally with product management, marketing, and sales teams to build a market-leading narrative on the connected foundation for multi-agent architectures and enterprise-grade AI. Responsibilities & Impact Narrative Ownership: Scale and own MuleSoft's flagship portfolio narrative framework, anchoring messaging within its core pillars: Open by Design, Engineered for Trust, and High Velocity Delivery. Unified Data Strategy: Co-own the joint MuleSoft + Informatica + Data 360 application and data integration positioning to deliver a unified "Trusted Context" narrative. AI-First Portfolio GTM: Influence and drive positioning for the AI-native product portfolio by unifying solutions such as Agent Fabric, Anypoint Platform, Omni Gateway, and Trusted Agent Identity. Technical Architecture Storytelling: Craft the canonical story for how MuleSoft functions as the agentic control plane for the headless enterprise, highlighting headless architectures, and advanced AI gateway features. Sales Enablement & Field Readiness: Support a high-impact library of sales plays, pitch decks, demo

Ingenieros/as de Aplicación Water Light - R.M y Séptima Región (Molina) 2 Locations posted: Posted 30+ Days Ago

Spec-Retail 1805 S Loop 288, Denton, Texas posted: Posted 10 Days Ago