Associate(M) - Category Management To plan overall supply planning for BU People Management - Team handling skills Making sure the workload is taken care of Making sure BAU works are not getting Impacted on any attrition or Long Leaves Taking up things with Concerned team , if the escalation done by team is not given importance Coordinating with Multiple stakeholders on solving real time issues on daily Level ( Inwards, catalogue, Tech, Transporter, Brand and Business team) Job Description: Co Ordinating with Product team, on projects and Developments required in the tool in order to bring goodness to the productivity on Planning and ops Supply chain understanding-DOH, Inventory Management, Inventory Health, RTV Logistic management- Lead time, Forecasting, Speed Vendor Management – Vendor Score cards reviews Warehouse management- Capacity management, Fillrate management Operation management- Daily Operation management Catalog Management understanding Qualifications & Experience Graduate from reputed institution 3-4 Years of relevant experience in Fashion buying / planning and Operations Willingness to learn, innovate, take initiatives Expertise in working on Excel Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others while demonstrating leadership skills Should be good at multitasking & critical thinking
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Associate(M) - Category Management To plan overall supply planning for BU People Management - Team handling skills Making sure the workload is taken care of Making sure BAU works are not getting Impacted on any attrition or Long Leaves Taking up things with Concerned team , if the escalation done by team is not given importance Coordinating with Multiple stakeholders on solving real time issues on daily Level ( Inwards, catalogue, Tech, Transporter, Brand and Business team) Job Description: Co Ordinating with Product team, on projects and Developments required in the tool in order to bring goodness to the productivity on Planning and ops Supply chain understanding-DOH, Inventory Management, Inventory Health, RTV Logistic management- Lead time, Forecasting, Speed Vendor Management – Vendor Score cards reviews Warehouse management- Capacity management, Fillrate management Operation management- Daily Operation management Catalog Management understanding Qualifications & Experience Graduate from reputed institution 3-4 Years of relevant experience in Fashion buying / planning and Operations Willingness to learn, innovate, take initiatives Expertise in working on Excel Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others while demonstrating leadership skills Should be good at multitasking & critical thinking
Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat
Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat
Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat
About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role We are building an AI Security and Governance capability and need an AI Security Analyst to be the front line for detecting, investigating, and containing risk across every AI tool, agent, and model touching AlphaSense's environment. You will monitor enterprise AI usage end to end, hunt for unauthorized ("shadow") AI and rogue agent activity, and turn raw AI telemetry into triaged findings the security and governance team can act on. Working alongside the Automation Engineer, Data Analyst, and Director, you will be a primary contributor to the evidence base underpinning our ISO 42001 certification and our broader AI risk posture. Key Responsibilities AI Tool Discovery & Shadow AI Monitoring Continuously monitor CASB/SWG, OAuth, and endpoint telemetry to discover unsanctioned AI tools, browser extensions, and API-level agents in u
Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge. Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org. Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality. Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time. Who You Are: Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders. Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, h
About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Agents are becoming the default way developers ship LLM-powered software, and they are miserable to debug. A single run fans out across model calls, tool calls, retries, handoffs between agents, and multi-turn conversations that only make sense as a whole. When one goes wrong, the developer usually has a log line and a shrug. Sentry's Agent Tracing turns that into something you can actually inspect: agent runs, tool calls, model interactions, token usage and cost, conversations you can replay message by message. As a Senior Software Engineer on the Telemetry Experience team, you'll own that product surface - Python/Django and Postgres on the backend, React and TypeScript on the frontend, sitting on top of Sentry's trace storage. You'll work with the SDK engineers who instrument the agent frameworks upstream and own everything customers touch downstream: the dashboards, the conversation views, the APIs, and the workflows that turn a confusing agent run into an obvious fix. In this role you will Own projects end to end. Take a problem from a rough customer complaint through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move Build the views developers debug agents in. Multi-agent workflows, conversation replay, cost and token breakdowns, the moment where a run failed and why. Making a deeply nested, wildly variable trace legible is a genuinely hard interface problem Make the data underneath fast and queryable. Filtering and sorting millions of conversations, getting cost calculation ri
About the Team Design Program Managers make DoorDash's Design Studio run better. As owner of the Logistics pillar within Design Operations, you're accountable for one of our most important operating outcomes: maximizing the bandwidth of the team. About the Role You'll find where ICs and managers lose time, fragmented workflows, manual processes, meeting overload, unclear rhythms, and you'll define and build the tools and systems that fix it. That might mean shipping a new internal tool, automating a recurring workflow, redesigning how scheduling or reviews work, or establishing a better operating cadence. You own the full loop: diagnose the problem, design the system, build the tool, measure whether it worked. You're excited about this opportunity because you will… Own the Logistics outcome, maximize the bandwidth of the team. ICs and managers have more usable time. Meeting load decreases. The team can focus on high-value work. Identify the biggest sources of operational drag across the Studio and turn them into a prioritized roadmap of tools and process fixes. Define and build the tools, automations, and workflows that reduce manual coordination, including for scheduling, budgets, vendor management, and event logistics. Redesign how the Studio operates: reviews, planning cadences, rhythms for both ICs and managers, information flows, whatever determines how fast teams can move. Measure whether your systems work, usable time for ICs and managers, meeting load, adoption, hours of manual work eliminated, and iterate. Turn recurring requests into scalable solutions. The second time a problem shows up, build the thing that stops a third. Own scheduling, budget, vendor, and logistics programs as a builder, not a permanent executor, your job is to make them need less manual effort every quarter. Partner with (and, as scope grows, help develop) other DPMs on the Logistics pod. We're excited about you because you have… 5+ years in operations, program management, or bu
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Metro Real-time Defect Analysis (RDA) Process & Equipment Engineer, you will be responsible for developing, deploying, and sustaining RDA capabilities that enable robust process control and equipment performance across advanced packaging and New Product Introduction (NPI) manufacturing environments. You will focus on integrating process knowledge, equipment behavior, and automation intelligence to improve tool stability, detect early signals of risk, and accelerate learning during NPI, pilot, and ramp phases. This role serves as a critical link between Process Engineering, Equipment Engineering, NPI teams, and RDA, ensuring monitoring strategies are technically sound, actionable, and scalable to high-volume manufacturing (HVM). You will work closely with Site and Global RDA, Process, Equipment, Automation, and IT teams to drive continuous improvement in equipment capability, process robustness, and manufacturing readiness. Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of
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 Listing Detail: As an Operations Intelligence (OI) Engineer in Micron, you are responsible for driving PWF, Assembly & Test manufacturing efficiency projects as a subject master expert to optimize industrial engineering, planning system integration, cycle time and equipment utilization by enabling line management reports, dispatching, and scheduling solutions and automation for manufacturing operations. In this role, you will work with internal and external teams to develop planning and scheduling models to improve production metrics for site Manufacturing. Responsibilities: Apply & utilization provided system and tool for production line scheduling & dispatch and drive for improvement on efficiency and machine utilization for PWF and A&T Manufacturing Develop, maintain, and improve scheduling and dispatch system logics Toolview/APF rules to an optimize performance. Initiate and continuously improve for the PWF and A&T including manufacturing methods and processes. Participate in the creation, maintenance, improvement, and training of software, reports, and metrics related to A&T production line scheduling & dispatch as well as planning. Lead or support projects with site & network team. Responsible for site planning system enhancement and improvement. Understand Micron’s capacity calculation data structure and methodology. Communicate with other sites and cross-functional departments t
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 Listing Detail: As an Operations Intelligence (OI) Engineer in Micron, you are responsible for driving PWF, Assembly & Test manufacturing efficiency projects as a subject master expert to optimize industrial engineering, planning system integration, cycle time and equipment utilization by enabling line management reports, dispatching, and scheduling solutions and automation for manufacturing operations. In this role, you will work with internal and external teams to develop planning and scheduling models to improve production metrics for site Manufacturing. Responsibilities: Apply & utilization provided system and tool for production line scheduling & dispatch and drive for improvement on efficiency and machine utilization for PWF and A&T Manufacturing Develop, maintain, and improve scheduling and dispatch system logics Toolview/APF rules to an optimize performance. Initiate and continuously improve for the PWF and A&T including manufacturing methods and processes. Participate in the creation, maintenance, improvement, and training of software, reports, and metrics related to A&T production line scheduling & dispatch as well as planning. Lead or support projects with site & network team. Responsible for site planning system enhancement and improvement. Understand Micron’s capacity calculation data structure and methodology. Communicate with other sites and cross-functional departments t
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 Listing Detail: As an Operations Intelligence (OI) Engineer in Micron, you are responsible for driving PWF, Assembly & Test manufacturing efficiency projects as a subject master expert to optimize industrial engineering, planning system integration, cycle time and equipment utilization by enabling line management reports, dispatching, and scheduling solutions and automation for manufacturing operations. In this role, you will work with internal and external teams to develop planning and scheduling models to improve production metrics for site Manufacturing. Responsibilities: Apply & utilization provided system and tool for production line scheduling & dispatch and drive for improvement on efficiency and machine utilization for PWF and A&T Manufacturing Develop, maintain, and improve scheduling and dispatch system logics Toolview/APF rules to an optimize performance. Initiate and continuously improve for the PWF and A&T including manufacturing methods and processes. Participate in the creation, maintenance, improvement, and training of software, reports, and metrics related to A&T production line scheduling & dispatch as well as planning. Lead or support projects with site & network team. Responsible for site planning system enhancement and improvement. Understand Micron’s capacity calculation data structure and methodology. Communicate with other sites and cross-functional departments t
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. • Process TC (traveler control) & LC (lot control) management. • ET (equipment Tracking) system execution and management. • RMS (recipe management system) execution and management. • MAM & ATMES manufacturing system execution and management. • Good mindset for critical CH (change control) management. • New product process flow design and setup in system • Global attribute document creation and attribute site representative • A/T New MES system UAT and coordinator with site team • System issue trouble shooting and remedy ticket resolved • New tool system integration and user acceptance test • Working knowledge of Microsoft SQL Server (MSSQL), including basic data querying, joins, and data manipulation. • Possesses basic data analysis skills, capable of understanding production or manufacturing-related data. • Running manual reduction program to enable data automation • Leverage AI-enabled solutions to reduce manual touch points and improve manufacturing efficiency • Apply Generative AI, LLMs, and AI-assisted analytics to reduce MTB/PWF/TCP system issues <sp
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 Listing Detail: As an Operations Intelligence (OI) Engineer in Micron, you are responsible for driving PWF, Assembly & Test manufacturing efficiency projects as a subject master expert to optimize industrial engineering, planning system integration, cycle time and equipment utilization by enabling line management reports, dispatching, and scheduling solutions and automation for manufacturing operations. In this role, you will work with internal and external teams to develop planning and scheduling models to improve production metrics for site Manufacturing. Responsibilities: Apply & utilization provided system and tool for production line scheduling & dispatch and drive for improvement on efficiency and machine utilization for PWF and A&T Manufacturing Develop, maintain, and improve scheduling and dispatch system logics Toolview/APF rules to an optimize performance. Initiate and continuously improve for the PWF and A&T including manufacturing methods and processes. Participate in the creation, maintenance, improvement, and training of software, reports, and metrics related to A&T production line scheduling & dispatch as well as planning. Lead or support projects with site & network team. Responsible for site planning system enhancement and improvement. Understand Micron’s capacity calculation data structure and methodology. Communicate with other sites and cross-functional departments t
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