Product Complaints Analyst 2 Jobs

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. JOB DESCRIPTION: Location : Hale, Cheshire Position : Full-Time, Permanent Hours : 40 hours per week, variable shifts including some weekends (5 days a week) Shift patterns : Monday - Thursday 9.30pm - 5.30am; Friday - Sunday 9pm - 5am Salary : Competitive, reflecting your skills and experience We are currently recruiting for a full-time Night Cleaner to join our team at Hale Country Club & Spa. Hale Country Club & Spa offers an exclusive environment dedicated to enhancing well-being and lifestyle. The club features a state-of-the-art gym, luxurious spa facilities, and a range of wellness services designed to help members achieve their fitness and relaxation goals. Explore more about Hale Country Club here. PRIMARY ROLE RESPONSIBILITIES: In accordance with the cleaning specification clean all centre areas including: offices, stores, toilets, restaurant, showers, sports areas, changing rooms, shower areas, stairs, landing, corridors, sauna/steam rooms, fitness gyms, receptions and all furniture and fittings contained in these areas. Duties to include: wet mop, dry mop, vacuum, sweep, buff, spot clean, wipe, clean, wash, sanitise, scrub, dust, etc. Replenish paper towels, soap, toilet paper, bin liners. Use machines, tools, equipment and materials as necessary. Empty all litter bins, into appropriate containers, remove to dustbin compound. Ensure a high standard of customer care is achieved at all times. Training is an essential part of the post and requires all employees

About the Job: LaunchDarkly is looking for a VP, EMEA Sales to lead and scale our regional sales organization as we enter a period of high growth and expand across a growing portfolio of products. Reporting to the Chief Revenue Officer, this leader will own new business and expansion revenue across EMEA. This is a high-impact leadership role for a builder and operator who can turn regional insight into a focused go-to-market strategy, build a repeatable pipeline engine, and create the operating discipline needed for predictable growth. The VP will lead a multi-level sales organization and partner closely with Marketing, SDR/BDR, Solutions Engineering, Customer Success, Partnerships, Enablement, and Revenue Operations. This is an exciting opportunity to help shape the next phase of LaunchDarkly’s growth by bringing our AI Runtime Control capabilities to more customers across EMEA, helping organizations build, deploy, and manage AI-powered applications with greater control and confidence. Responsibilities: Own new business and expansion revenue across EMEA. Set regional go-to-market strategy across segmentation, territories, coverage, capacity, hiring, and resources. Build repeatable pipeline across outbound, inbound, account-based, and partner channels. Establish operating rhythms for pipeline inspection, forecasting, deal progression, performance, and business reviews. Deliver accurate forecasts and visibility into pipeline, deal health, productivity, risks, and opportunities. Lead and develop Sales Directors, Managers, and Account Executives while building a strong management bench. Drive consistent sales methodology, account planning, qualification, and pipeline hygiene. Engage in strategic deals through executive relationships, value selling, negotiation, and deal strategy. Scale land-and-expand across new logo, adoption, cross-sell, and expansion motions. Partner with Solutions Engineering and Customer Success to improve deal quality, adoption, reten

Role Summary : A Customer Support Analyst Level II works within the Customer Support Center to meet the needs of GHX's important customers. The CSA-II will develop a strong working knowledge of our leading edge GHX Internet B2B exchange system and growth products, the Customer Support knowledge base, and Customer Support administrative tools. With this knowledge and tools, the CSA-II will answer customer's questions, assist customers in using the functions of the system, and help them when they have problems in using or connecting to the system. Extensive collaborative troubleshooting and problem solving may be required at times. CSA-II will perform these activities with the help of guidelines to assure efficiency, reliability, and quality. The CSA- II works on problems of diverse scope where analysis of situations requires technical expertise and the use of logical diagnostic skills, including a strong working knowledge of EDI-X12. Roles & Responsibilities: Acts as a primary point of contact at GHX for its customers who reach out to GHX via telephone, email, and the GHX Community Web Portal. Works directly with customers to help meet their needs and solve their problems, including systems, specific products, and general information. Works cooperatively with other team members and departments to develop effective and timely solutions for customers. Utilizes Customer Relationship Management System ‘Salesforce’ to record and research customer information and to record all the customer's questions, problems, and solutions. Uses the Customer Support Knowledge Base to assist customers and provide immediate resolution to their problems. Contributes to the Customer Support Knowledge Base in order to provide symptom and resolution information about new issues and update information for known issues. Understands the roles and skillsets of peers and extended departments in order to effectively escalate issues that cannot be resolved during live customer call. Provides ass

About Scale AI At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. Reinforcement learning environments are now the center of gravity for that work: the difference between a model that demos well and a model that reliably completes long-horizon work is almost always the quality of the environments and reward signals it was trained against. Responsibilities As a Staff Software Engineer, RL Environments, you'll own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale. An RL environment is a real piece of software: a containerized world with real dependencies, real state, real tools, and a grader that has to be correct even when the agent is creative about breaking it. Building one is a full-stack engineering problem. Building thousands of them reproducibly, cheaply, with trustworthy reward signals and throughput measured in millions of rollouts is a systems problem that very few people have solved. You'll work on both. You'll design the platform: sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and the authoring surfaces that let engineers and domain experts produce environments without reinventing infrastructure each time. And you'll go deep on the environments themselves by instrumenting real applications, designing task suites that expose specific capability gaps, and building graders that

required Services experience at least 2 - 3 year Address: North End Crossing, Vile Parle East , Mumbai Facility: PARLE PRODUCTS MUMBAI - FS Qualification: 12th Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP574904

required Services experience at least 2 - 3 year Address: North End Crossing, Vile Parle East , Mumbai Facility: PARLE PRODUCTS MUMBAI - FS Qualification: 12th Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP574905

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity Tool Integration: Pulling in new tools to enhance North's security capabilities Dev

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid's Recruiting Operations team exists to build and sustain the infrastructure, programs, and data that enable our recruiting organization to hire effectively, efficiently, and equitably. We drive operational strategy, systems implementation, data integrity, and process consistency across the full hiring lifecycle. In 2026, we are focused on scaling our coordination function, fully operationalizing Ashby as our ATS, and launching programs that raise the bar for recruiting effectiveness across Plaid. We are a lean, high-impact team, and we are growing. As the Recruiting Operations Coordinator at Plaid, you will sit at the intersection of recruiting coordination and operational program support. You will own white-glove scheduling for high-touch hiring pipelines, serve as the on-site RC presence in our San Francisco office, and act as a core member of the Recruiting Operations team -- contributing to the systems, tools, and processes that keep the function running. This is an entry-level program management role that flexes between recruiting coordination and operational program support -- the balance will shift based on hiring volume and team needs. You will be one of the first pe

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. Key Responsibilities As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment Develop agent orchestration systems that help security practitioners automate repetitive security tasks Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements Ship production-ready agent capabilities that run efficiently in resource-constrained environments Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fal

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model