Lean Manufacturing Engineer Jobs

About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. About the role: As a Data Analyst, your role will encompass: Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data Extracting valuable insights from our clients’ marketing-related data sources. Designing dashboards for marketing decision-making while taking into account the business needs Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring. Actively contributing to the expertise level and competencies of the Data & Analytics team Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients Qualifications Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in : A mini

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. 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 Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

Sr. Software Engineer The Team + The Role Pendo's engineering teams build the product experiences that help customers understand, improve, and act on product usage data. This team is focused on AI-powered features that turn raw usage signals into automatic, actionable suggestions, reducing the manual work customers need to do before they can get value from Pendo. As a Senior Software Engineer, you will help shape and ship intelligent product experiences from discovery through delivery. You will work full-stack with a lean toward frontend, using TypeScript, Vue.js, backend services, and AI coding tools to build high-quality features on a small, fast-moving team. This role also owns product judgment: validating problems with customers, sizing opportunities, defining success metrics, and making pragmatic tradeoffs in ambiguous spaces. This role is based in our Sheffield office. What this looks like day-to-day AI-powered feature delivery: Build and ship features that use AI to turn product usage data into actionable suggestions for customers. You will work end to end across the experience, with attention to quality, usability, and the unique failure modes of AI-backed products. Full-stack engineering: Own delivery across the frontend and backend, with a strong lean toward TypeScript, Vue.js, DOM-level work, component architecture, and in-browser data capture. You will reason about backend services and APIs while building polished, reliable customer-facing experiences. Product discovery: Help validate problems, shape scope, and test direction before and while building. You will join customer calls, test prototypes, and use real feedback to make sure the team is solving meaningful problems. Success metrics and iteration: Define what success looks like for the features you build and use product usage data to guide iteration. You will not just close tickets; you will measure whether the work is creating the intended customer impact. AI-enabled development: Use AI coding too

About The Role As a Strategic Finance Senior Associate, you will own the company’s end-to-end revenue forecast as we scale. You will model a dynamic revenue base shaped by customer usage, new GPU deployments, product mix, and other key business drivers, translating these inputs into actionable insights for leadership. Beyond forecasting, you will proactively identify opportunities to accelerate revenue growth and improve business performance. You will serve as a strategic thought partner to teams across the company, including GTM, Product, and Infrastructure Engineering, helping to evaluate tradeoffs and drive execution against Together’s growth priorities. This is a hands-on, high ownership role. You will be part of a lean Strategic Finance team, with the opportunity to help drive strategic initiatives across the business as well as shape the strategic finance function of a rapidly growing AI infrastructure startup. Responsibilities Own the revenue model and forecast across sales-led and self-serve motions, partnerships, new business, renewals, churn, and new hardware deployments - spanning both committed contracts and consumption/usage-based revenue Prepare clear, concise analyses and reporting for leadership on revenue performance, forecast risk, and the drivers behind variances Build expertise to deeply understand the company's product offerings, product portfolio and associated nuances Go beyond reporting the number: proactively identify levers to grow revenue and work with Product, GTM, and Infrastructure Engineering to execute them Assist with long-range planning (LRP) and building the company's overall financial strategy. Build repeatable processes and tooling (dashboards, models, reconciliations) that make revenue forecasting faster and more reliable each quarter Be ready to roll up your sleeves and assist with other strategic finance initiatives and priorities to drive business impact and help the company grow Requirements 2 – 4 years of exper

The Associate Director, Creative Marketing leads Getty Images' global Creative Studio bringing together Central and Regional Marketing Creative teams into one high-performing creative function. This role is accountable for the studio's creative output, operating model, and team performance, ensuring high-quality work is delivered consistently, efficiently and aligned to business priorities. The role requires a hands-on creative professional, who can be an individual contributor and manage a team. This is a lean, high-performing team where leaders are expected to contribute directly while developing others. You'll have the opportunity to shape a global brand, partnering with teams across Getty Images to create work that showcases the very best of our brand and products. Success in this role depends as much on prioritization, resource management and delivery discipline as it does on creative capability.

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role Analytics is moving beyond dashboards. We’re building intelligent systems that let analysts and business users explore data, automate analysis, design scalable architectures, and get insights faster and we need a senior engineer to build the data foundations and AI-powered tools that make that possible. This is a hands-on builder role at the intersection of analytics engineering and applied AI. You'll own the pipelines, datasets, and metrics that the business runs on, and you'll build the LLM-powered applications, copilots, agents, natural-language data experiences that sit on top of them. You'll work directly with product, growth, and business teams on real B2C and customer data. What You’ll Do Analytics Engineering & Business Analytics Build and own scalable data pipelines, transformations, analytical datasets, and reusable data products using SQL and Python. Analyze B2C, product, and customer data to identify trends, performance drivers, and actionable insights. Translate business and product questions into reliable metrics and decision-support solutions that help teams measure performance and understand customer behavior. AI-Powered Analytics Design, build, and deploy LLM-powered applications, agents, and analytics workflows using RAG, tool calling, MCP, and modern agent frameworks. Develop reusable AI tools that enable analysts and business user

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders. We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance. Roles & Responsibilities: You'll contribute to critical projects across three main core areas: Internal Strategic & Operational Initiatives Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making New product launches: Build and present financial models, business cases, and investment analyses for new product launches GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches Unit Economics: Recommend strategies that balance growth

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role At Pearl, Conversation Design shapes AI experiences that help millions of customers every day. As our Manager, AI Conversational Design , you’ll lead a team of Conversation Designers and partner with Product, Engineering, Analytics, and AI teams to improve those experiences at scale. You’ll coach and grow your team, stay close to the work, and own initiatives that advance Conversation Design. This role offers room to build, experiment, and influence where the discipline goes next. What You’ll Do Lead, coach, and develop Conversation Designers through feedback, career support, and thoughtful prioritization. Hire and onboard new team members as the organization grows. Partner across Product, Engineering, Analytics, Machine Learning, and AI to deliver effective conversational experiences. Own a strategic initiative, such as improving evaluation, tooling, workflows, or quality practices. Use AI tools, experimentation, and customer insights to help the team work more effectively and improve its output. What We’re Looking For Experience leading and developing teams in Conversation Design, Conversational AI, or a related field. Hands-on experience building and shipping conversational AI products or LLM-powered agents. Experience improving conversational quality through evaluation, optimization, experimentation, or A/B testing. Strong cross-functional partnership and the ability to turn

SEO Content Director Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in digital marketing and data consulting are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Reports to: Head of SEO About the SEO Team 20+ strong SEO team based in London and Cornwall, UK We are a close-knit team who work hard but also have a lot of fun Although we have a hierarchy, we like to operate in an open and inclusive way No idea or question is a bad one - if you want to see change, then be the change, and if you want to make something happen, just say! The team is made up of SEO generalists, technical SEO experts, SEO content writers and Digital PR specialists We have great collaboration between our main London office and our satellite Cornwall office. Last year we went on a trip to Cornwall together - we surfed, walked and had fun. These trips aren’t mandatory, so if they’re not for you that’s ok too! We work with clients across automotive, luxury fashion, travel, charity, technology sectors and more! The DEI team at Artefact is led by two members of the SEO team - DEI is very important to us Main

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

The most impactful digital products in the market today are the direct result of a seamless blend of business strategy, design and technology. Orchestrating this behind-the-scenes integration is a Product Manager, who prioritizes the customer experience from vision to execution and, together with their team, guides all workstreams toward a common vision and plan for delivery. We’re looking for a seasoned product leader with a background in Airlines / Travel and Consulting to join the Customer Experience, Product and Design (CXPD) service line. Job responsibilities As a trusted advisor to our client’s leadership, you will partner with them to understand their context and needs, make recommendations, and provide advice and hands-on expertise on taking new products from concept to market to scale. Drive the innovation mindset and the overall product development lifecycle, utilising lean and hypothesis driven approaches to identify, conceptualise and pilot new products that deliver undeniable value. Establish the market & competitive landscape, go to market strategy and business case or economic model for the opportunity with our clients. Lead the stakeholders to think about customer’s problems, business outcomes and take them on the change journey of moving to empowered product teams that create strategic growth for the organisation. Shape and lead teams to deliver client engagements in a way which is both effective for our client and operationally sound for Thoughtworks. Help shape CXPD service line value propositions, creating case studies, points of view and other content through insights on client needs and solutions, and also through defining repeatable practices which will help us to scale our efforts. Get involved in pre-sales, creating proposals and pitches, shaping engagements for clients and helping to educate both clients and colleagues about the value of our services. Contribute to the growth and scale of our evolving business through taking

Thoughtworks partners with clients to build impactful digital products which deliver extraordinary customer experiences. We do this by integrating design, strategy and technology. We’re looking for a seasoned product leader, with experience in identifying, launching and scaling new products and product portfolio. With experience in Consultancy and Banking/Fintech to join the Customer Experience, Product and Design (CXPD) service line. Job responsibilities As a trusted advisor to our client’s leadership, you will partner with them to understand their context and needs, make recommendations, and provide advice and hands-on expertise in building new products or reimagining existing products end to end. Drive the innovation mindset across the overall product development lifecycle, utilising lean and hypothesis driven approaches and provide leadership on establishing an effective product operating model. Establish the market & competitive landscape, go to market strategy and business case or economic model for the opportunity with our clients. Lead the stakeholders to think about customer’s problems, business outcomes and take them on the change journey of moving to empowered product teams that create strategic growth for the organisation. Lead large, complex programmes across multiple workstreams and stakeholder groups, owning strategy, roadmap, scope and outcomes end to end. Apply a consultative selling approach in pre-sales, creating proposals and pitches, shaping engagements for clients and helping to educate both clients and colleagues about the value of our services. Help shape CXPD service line value propositions, creating case studies, points of view and other content through insights on client needs and solutions, and also through defining repeatable practices which will help us to scale our efforts. Champion the future of product development, with lean squads, fast paced iterations and actively building the next generation ways of wo

FEQ327R214 Sr. Solutions Architect (East Coast/Central) Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. Competencies: Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. Production programming experience in Python, R, Scala or Java Nic

About the team The Capital Markets team develops the financing strategy, solutions, and partnerships needed to support our expanding global AI infrastructure platform and long-term investment plans. About the role We’re looking for a structured finance professional to serve as a technical execution engine for a lean, high-impact capital markets team. In this role, you’ll own the models, analysis, diligence, process management, and key execution workstreams behind standardized or more “vanilla” financings, while partnering with senior transactors on more complex transactions. This is not a junior analyst role. You’ll need the experience and maturity to work directly with senior leaders, banks, investors, counsel, and advisors without multiple layers of review. You should be highly capable in the details, strong under transaction intensity, and ready to help build financing processes for a rapidly scaling AI infrastructure platform. What you’ll do Translate financing objectives into clear analyses, recommendations, timelines, and deliverables. Support senior transactors on complex financings, including structuring, documentation, diligence, negotiation, and closing. Lead analysis, diligence, process tracking, and execution workstreams for financing transactions. Own transaction models, including debt sizing, cash-flow waterfalls, sensitivities, covenant analysis, and scenario evaluation. Work directly with internal stakeholders, banks, investors, counsel, advisors, and other counterparties. Review transaction documentation and help ensure commercial, financial, and diligence details are reflected accurately. Manage high-volume, detail-intensive workstreams in a lean team environment. Help develop repeatable tools, processes, and analytical infrastructure as the capital markets function scales. You might thrive in this role if you have At least 4-6 years of directly relevant experience in project finance, structured finance, infrastructure finance, private equity, or a

Account Manager - Retail Media Location - London Hybrid working pattern Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. The Retail Media and Analytics department is a digital media and ad tech consultancy team supporting international brands across programmatic advertising, retail media, analytics and marketing technology. Reports to Account Director Purpose of the Role As an Account Manager - Retail Media, you will manage a portfolio of retail media international clients while delivering high-quality campaign strategy and execution across Amazon Ads. You will act as the main day-to-day contact for selected clients, translating their commercial objectives into effective Sponsored Ads and Amazon DSP strategies. This is a hands-on role combining campaign management, client communication, performance analysis and commercial account development. You will also support the continued growth of our Retail Media business and our strategic partnership with Amazon. Key Responsibilities Client and Account Management Act as the main day-to-day contact for selected retail media clients. Build strong client relationships and develop a clear understanding of their business, e-commerce and commercial objectives. Lead regular client calls, performance reviews and campaign-planning sessions. Communicate campaign performance, opportun