Internal Audit Lead Jobs

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Purpose of Role - Conducting Strategic Sourcing, Market Intelligence, Opportunity Assessment, Spend Analytics, Contract Analytics, Category Strategy development support, Contract Extension & Renewals, spot buys, tactical sourcing, market engagement and buying channel optimization, tail spend management, executing projects through GEP S2C platform, perform risk, governance & compliance checks, supporting procurement operations etc. and thereby optimize the way we source & procure and generate value. What you'll be doing - Should be proficient in Strategic Sourcing: Analyzing spend data, creating internal & external category profiles, Market intelligence reports, Opportunity assessments, devising category strategies, identifying sourcing levers for respective market categories, analyzing costing for a product or service, conduct structured supplier negotiations, understand the nuances of contracting and execute the same with suppliers in co-ordination with legal teams, managing statutory compliances and sustainability requirements etc. Executing projects through GEP Source t

About the Role Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations. Salary Range: $90 - $115k What You Will Be Doing You will be working on diagnosing and resolving complex technical issues in real time via live chat, working directly with customers to troubleshoot. Periodically working as support on-call, handling high-severity incidents with urgency and end-to-end ownership. Working closely with the development team to develop best practices and tools for diagnosing issues and optimizing the service for performance. Participating in quarterly projects to improve automation, tooling, and processes focused on operational efficiency. Collaborating with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product. Beyond supporting customers, you also participate in product demos, bug bashes, knowledge shares, and building automation and internal tools for operational efficiency. Qualifications We Are Looking For Core Technical Skills 2+ years of experience in a customer-facing technical role (e.g., Technical Support, Solutions Engineer, or Software Engineer) at a cloud and/or SaaS provider. Advanced SQL proficiency and expertise at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets. Hands-on experience with at least one major cloud platform (AWS,

About the Role Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations. Salary Range : $90k - $115k What You Will Be Doing You will be working on diagnosing and resolving complex technical issues in real time via live chat, working directly with customers to troubleshoot. Periodically working as support on-call, handling high-severity incidents with urgency and end-to-end ownership. Working closely with the development team to develop best practices and tools for diagnosing issues and optimizing the service for performance. Participating in quarterly projects to improve automation, tooling, and processes focused on operational efficiency. Collaborating with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product. Beyond supporting customers, you also participate in product demos, bug bashes, knowledge shares, and building automation and internal tools for operational efficiency. Qualifications We Are Looking For Core Technical Skills 2+ years of experience in a customer-facing technical role (e.g., Technical Support, Solutions Engineer, or Software Engineer) at a cloud and/or SaaS provider. Advanced SQL proficiency and expertise at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets. Hands-on experience with at least one major cloud platform (AW

About the Role Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations. What You Will Be Doing You will be working on diagnosing and resolving complex technical issues in real time via live chat, working directly with customers to troubleshoot. Periodically working as support on-call, handling high-severity incidents with urgency and end-to-end ownership. Working closely with the development team to develop best practices and tools for diagnosing issues and optimizing the service for performance. Participating in quarterly projects to improve automation, tooling, and processes focused on operational efficiency. Collaborating with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product. Beyond supporting customers, you also participate in product demos, bug bashes, knowledge shares, and building automation and internal tools for operational efficiency. Qualifications We Are Looking For Core Technical Skills 2+ years of experience in a customer-facing technical role (e.g., Technical Support, Solutions Engineer, or Software Engineer) at a cloud and/or SaaS provider. Advanced SQL proficiency and expertise at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) and hands-on exp

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Build and maintain the core infrastructure of the AIOps platform, including the unified monitoring & alerting system and the FinOps cost observability platform. Maintain and continuously optimize internal R&D infrastructure (GitLab, Nexus, Sonar, etc.). Manage monitoring data collection, alert governance, and cost data visualization across multi-cloud environments (Alibaba Cloud / AWS). Support cloud security operations, including cloud security alert management and compliance auditing. What We Look For In You 3+ years of DevOps or SRE experience; experience with AIOps or observability platform development is a plus. Proficient in Python; familiar with at least one of Go or Java. Full-stack capability (React/Vue frontend + backend API) is a plus. Hands-on experience with at least one major cloud platform (Alibaba Cloud or AWS); familiar with cloud monitoring products (CloudWatch / Alibaba Cloud CloudMonitor) and cost

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. Responsibilities and Tasks -Facilitate GMRB for all Micron induced quality events -Facilitate rescreen meeting -Ensure proper containment and disposition of materials -Propose appropriate risk assessment and align with stakeholders (including and not limited to Packrel and QRA teams) for MRB disposition -Drive effectiveness for MRB metrics -Provide input and guide LMRB team to make disposition -Present GMRB issue to GQ management -Work with supply chain on the business risk and recovery update for GMRB issue -Drive recovery activities at AT sites (including and not limited to FG) Assist Package Reliability Engineers by Collecting and Analyzing Data, and Developing Analysis Tools -Consult with internal customers to understand needs -Develop tools for extracting and formatting data -Extract, organize, and analyze data for internal customers -Analyze and report data Collaborate with AT Operations and network on getting GMRB & recovery activities key action item closed -Getting correct action owner for action item -Facilitate and host meetings -Document and publish data and meeting minutes -Communicate with appropriate AT Operations and network -Monitor progress on

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we're all generalists that work across the full stack (built in TypeScript end-to-end). We’re looking for engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Work closely with founders, product, and design to implement new concepts and ideas Build AI-powered functionality into the core of Linear Update our collaborative content editor used across all internal surfaces Build new user-facing features with beautiful and scalable UI components Obsessively improve application performance Refine our software development processes to keep the team operating at high velocity What we're looking for 2-5 years of experience building customer-facing products at a software company with a high engineering bar Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) Track record of driving complex, end-to-end features (not just incremental improvement

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. We are looking for a Sales Engineer to build, implement and manage top standard SE strategy in an outstanding hyper-growth environment. In this role you’ll help our sales team to evangelize the power of Torq by assessing and understanding the technical business needs of our customers and prospects to help them achieve maximum value from our solution. This remote position is based in Brazil. What you’ll do: Provide outstanding and effective pre-sales technical expertise and sales engineering processes. Lead the Sales Engineering team in following sales methodology and best practices, as well as ensuring proper use of CRM system Partner with sales leadership and product groups to drive operational excellence and efficiency and meet quarterly and annual sales targets Ensure accuracy and accountability with internal systems and tools Provide technical guidance and support to the sales team, ensuring that they have the knowledge and tools needed to be successful Deliver compelling presentations to customers and prospects to ensure they understand the value of our solution Promote products and business solutions at conferences, forums, and seminars. Participate in regional industry events/organizations as a thought leader. Collaborate with a va

P-1562 As a Leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents. The Impact You Will Have Hire, onboard, and develop a top-tier team of designated support engineers (DSE) Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs. Contribute to program enhancements and offerings tailored to evolving customer needs Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction Conduct internal and external Support Experience QBRs What We Look For 15+ years of industry experience, with at least 6+ years of management experience Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles Ability to work with strategic customers, driving multiple competing priorities Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP) 5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, a

CSQ427R196 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the wo

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand for hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of blockchain to users around the world through leading products including OKX, OKX Wallet, OKLink, and more. About the Role As part of the Institutional Relationship Management team, you will serve as the primary point of contact for our institutional partners. Your mission is to cultivate long-term relationships, drive revenue growth through proactive sales and strategic engagement, and ensure a seamless operational experience for institutional clients. This role sits at the intersection of institutional sales, client relationship management, and product collaboration , acting as a bridge between client needs and internal product capabilities. Performance will be evaluated through a balanced KPI framework focused on growth, new business development, and client service excellence to support sustainable revenue generation and operational quality. What You’ll Be Doing Business Development & Growth Identify and qualify new institutional leads, managing the full sales cycle from initial outreach through to closing and post-sales client success. Coordinate the end-to-end onboarding process for institutional clients, including verification and account activation. Monitor client activity and trading patterns to