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Vi söker dig som är utåtriktad, positiv och gillar att arbeta med likasinnade. Som medarbetare på Burger King är du företagets ansikte utåt. Du arbetar i ett team med ständig rotation på arbetsuppgifterna, vilket innebär att du kommer att få arbeta både i köket, matsalen och med att servera gäster. Vårt krav på dig är att du skall ha servicekänsla och tycka om att ha kul.
TL;DR - We're looking for world-class brand designers to help define and evolve Lovable's visual identity. You'll contribute to our brand across all touchpoints, creating assets for web, print, and motion. We expect exceptional taste, versatility across mediums, and the ability to maintain consistency in a fast-paced environment. You'll join a team at the forefront of AI, enabling anyone to create software. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we're looking for 10+ years experience designing for web, print, and motion across high-growth startup environments A portfolio of shipped brand assets - campaign visuals, social graphics, presentation decks, event materials, and marketing collateral Strong craft across brand identity, typography, layout, and illustration with demonstrable output Proven ability to maintain brand consistency while delivering high volumes of work across multiple channels Experience creating scalable brand systems, templates, and guidelines that enable teams to execute independently Ability to work autonomously and manage multiple concurrent projects from brief to delivery What you'll do In one sentence: Shape how the world sees and experiences Lovable. Own and evolve Lovable's visual identity system across all brand touchpoints Create marketing assets for campaigns, social media, events, and partnerships Design presentation decks, one-pagers, and sales materials that tell our story compellingly Establish brand guidelines and systems that ensure consistency as we scale rapidly Build tools, templates, and processes that empower the team to create on-brand work independently Collaborate with product design to ensure brand consistency within the product experience Work with content and growth teams to bring campaigns to life visually Be scrappy and hands-on with whatever the brand needs - from a LinkedIn carousel to event signage Help set the bar for creative quality and taste at Lovable Re-invent how modern brand teams work How we hire Fill in a short form then jump on an initial exploratory call. We'll send you a quick take-home asking to present your best work over a loom video presentation. Join us for a round of interviews to discuss your experience in more depth Join us for trial work lasting 1-2 days remote or on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you. Important Note: Please submit your application in English. It's our company language so you'll be speaking lots of it if you join. We treat all candidates equally - if you're interested please apply through our careers portal.
SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today
*THIS ROLE IS BASED FULL TIME AT OUR SOHO HOME STUDIO IN NUNEATON, WARWICKSHIRE* The Role… Reporting directly to the London-based Head of Creative, we are looking for a highly autonomous, creative Still Life and Interiors Photographer to take the reins of our in-house studio in Nuneaton. In this role, you will take full ownership of daily shoot execution and technical output, delivering high-quality, on-brand studio photography and video content across our luxury product categories. You will run the studio independently day-to-day, while collaborating with our Freelance Art Director on seasonal creative projects. This role requires a balance of independent self-sufficiency and the agility to work quickly under creative direction to maintain and elevate Soho Home’s premium aesthetic. KEY RESPONSIBILITIES * Independent Studio Ownership: Take full ownership of the Nuneaton studio floor, independently setting up and shooting across diverse categories including large-scale furniture, lighting, drapery, and small accessories. * Technical Excellence: Demonstrate deep technical understanding of Aputure continuous lighting. You must have the ability to build complex, nuanced lighting setups for high-end creative projects, while maintaining the speed and agility required to quickly pivot and execute direction from the Art Director when on set. * Advanced Capture Techniques: Utilise advanced photographic techniques (such as focus stacking via Helicon Focus) to ensure high-fidelity, razor-sharp capture of complex textures, materials, and luxury finishes when required. * Brand Consistency: Interpret established brand guidelines with minimal daily supervision, ensuring all lighting, composition, and styling meet Soho Home's premium standards. * Video Content Capture: Capture high-quality video content (e.g., product motion) alongside stills as required by the shoot brief to support digital product pages and social media channels. * Retouching Collaboration: Partner closely with the Retouching team to ensure texture realism, material integrity, and colour accuracy are achieved in-camera where possible, providing clear notes to minimise post-production friction. * Asset Management: Manage the technical side of the live shoot, including tethered file capture, accurate file naming conventions, and final delivery for post-production. * Studio Operations: Work alongside the Studio Production Coordinator to ensure daily shoot lists are completed on time, maintaining a clean, efficient, and organised studio environment. SKILLS AND EXPERIENCE * Experience: Proven experience in a mid-to-senior studio photography role, with a demonstrated ability to run a studio completely independently. * Portfolio: A strong, professional portfolio of Still Life, Product, and/or Interiors Photography demonstrating versatility across both hard and soft goods (e.g., lighting structured furniture vs. textured drapery). * Technical Proficiency: Extensive, hands-on experience with Canon camera systems and professional continuous lighting setups. * Software Expertise: Full understanding of all Capture One tools is essential (including tethering, session management, layers and masking, colour editor, styles and presets and more) to deliver flawless results and maintain an efficient studio workflow. Experience with Helicon Focus is highly desirable. * Autonomy & Agility: A high level of self-sufficiency on daily shoots, balanced with the ability to work at pace and adapt instantly to creative feedback during fast-moving, collaborative campaign sessions. * Video Capabilities: Experience shooting short-form video content, colour grading and key camera movements and how to achieve them. Benefits… Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career. * Soho Friends Membership - Everyhouse Membership applicable after 1 years' service. * 50% off Food & Drink, 7 days a week * Staff Room Rates * Private Health and Dental Care * Life Assurance * Birthday Day Off * Up to 50% Staff Discount on Cowshed & Soho Home * Dog Policy * Season Ticket Loan * Christmas Office Closure * In conjunction with Soho Impact, take 2 days paid a year to support a charity of your choice. * Free Counselling Sessions * Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate. * Continuous training to develop yourself personally and professionally * Exclusive access to our benefits platform with hundreds of discounts on shopping, gym memberships, holidays, insurance and much more * Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to.
Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work closely with DRM and Music leadership — and the product team — as we grow our Music & DRM business. On the DRM side, you'll validate the metrics that matter, build business cases that motivate product investment, and back our position in platform negotiations. On the Music side, you'll help leadership make better decisions faster: shaping how we think about capex and acquisition tradeoffs, making our biggest financial decisions more data-driven, and building a clear picture of how music moves across our platform and out into the world. You'll have a dedicated mandate spanning both DRM and Music while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team. WHAT YOU'LL DO * Be a trusted thought partner to Music and DRM leadership. Bring structured thinking to high-stakes questions, sanity-check what we measure, and proactively raise the questions stakeholders haven't thought to ask. * Build the business cases that move decisions forward. Turn platform data into the commercial case for what we should build next, and put hard numbers behind contract terms, rate changes, and revenue-share positions where the stakes are real money. * See around corners. Bring data-driven insights around our music investments, and build a deep understanding of how different customer segments use our music — so we can anticipate where demand is heading before it shows up in the numbers. * Connect what happens on our platform with how music performs in the world. Run deep-dives that combine internal and external data to explain why a metric moved, where value is being left on the table, and where the growth opportunities are. * Make our data trustworthy for agentic analytics — enrich context and metadata, and use AI coding tools to ship instrumentation and data-quality fixes directly so both people and AI tools can rely on it. * Uphold analytical rigour as self-serve expands. Push back on false precision in revenue and accrual estimates, set the bar for what good analysis looks like, and resist unnecessary complexity where a simpler approach serves the decision better. WHAT YOU'LL BRING * Senior-level influence. You've driven real business impact by shaping decisions at the leadership level and moving revenue outcomes. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * Platform curiosity. You don't need prior rights-management experience, but you're genuinely curious to learn how the music platforms actually work, and how that connects to our business. MUSIC TO OUR EARS * Experience combining data across platforms — e.g. joining first-party product data with external platform data — to explain shifts in user behaviour. * Data modelling know-how and experience with semantic layers. * A track record of validating and refining metrics in a data-mature environment, and of building business cases that turned into real product investment. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era, combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.
Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the VP of Revenue Operations and Global Sales Leadership as we scale our enterprise business — defining what success looks like across the full bow-tie funnel, from pipeline generation to expansion revenue, and proving it with data. You'll have a dedicated mandate within the Enterprise GTM org while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team. WHAT YOU'LL DO * Partner with RevOps and Sales leadership to define success metrics, surface growth opportunities across the enterprise bow-tie funnel, and shape GTM strategy with evidence — proactively raising the questions stakeholders haven't thought to ask. * Build and refine the models that steer the business — customer segmentation for territory and capacity planning, lead and account scoring for pipeline quality, and forecasting for pipeline and revenue. * Make our data trustworthy for agentic analytics — enrich context and metadata, and use AI coding tools to ship instrumentation and data-quality fixes directly so both people and AI tools can rely on it. * Own the analytical backbone of how the enterprise business is steered — KPI and metric definitions aligned across Sales, Marketing, and Finance, and the monthly, quarterly, and annual performance forums, owning the narrative, not just the slides. * Close data gaps and build scalable, self-serve measurement infrastructure so GTM teams can monitor long-term performance without you in the loop. * Uphold rigor as self-serve expands — push back on false precision in pipeline and forecast numbers, set the bar for what good analysis looks like, and resist sophistication, statistical or AI, where a simpler approach serves the decision better. WHAT YOU'LL BRING * Senior-level influence. You've driven real business impact by shaping decisions at the leadership level and moving revenue outcomes. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * PLG/SaaS fluency. Hands-on experience in product-led and SaaS businesses, with a solid grasp of subscription economics and the metrics that drive them. MUSIC TO OUR EARS * Experience across the B2B GTM funnel — Sales, Marketing, and RevOps — with funnel, segmentation, and forecasting analytics. * Data modelling know-how and experience with semantic layers. * A track record of defining metrics and steering frameworks for enterprise or 0→1 commercial motions. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era, combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.
SENIOR DATA ANALYST Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the CPO and product teams as we evolve from a music-library product into a broader creative-workflow platform, defining what success looks like for surfaces that don't exist yet and proving it with data. WHAT YOU'LL DO * Partner with the CPO and product teams to define success metrics, surface growth opportunities, and shape product strategy with evidence. * Stand up and advise on measurement for new product experiences end to end — instrumentation, KPI design, and leading-indicator tracking. * Run the full analytics stack — from descriptive analysis through experimentation — to evaluate performance and drive decisions. * Close data gaps and build scalable, self-serve measurement infrastructure so teams can monitor long-term impact without you in the loop. * Make our data trustworthy for agentic analytics by resolving gaps and enriching context and metadata so both AI tools and people can rely on it. WHAT YOU'LL BRING * Strong stakeholder management and business acumen. Track record of influencing senior decision-makers. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * Experienced experimentalist. Fluent in A/B testing and causal inference. MUSIC TO OUR EARS * Data modelling know-how and experience with semantic layers. * Experience in PLG and SaaS environments (B2C and/or B2B). * A track record of defining metrics for new 0→1 product surfaces. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.