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Help us build the next generation of AI-powered products Join the Data & AI organization and take ownership of engineering teams building AI-native solutions for the entire Group. This opportunity combines technology leadership with a meaningful influence on products, engineering practices, team development, and the organization’s direction in artificial intelligence. You will help shape the AI Engineering strategy, establish new software development standards, and partner closely with product, data, and technology stakeholders. Together, we will explore practical applications of emerging technologies, including multi-agent systems, AI agents, and tools supporting the evaluation of AI models and applications. Your impact • Lead a multidisciplinary engineering team of approximately 10–15 people working with AI technologies, supporting their growth, autonomy, and effective collaboration. • Own the AI Engineering strategy and contribute to the development of products powered by machine learning and AI-native technologies. • Partner with product managers and key stakeholders to define requirements, priorities, delivery plans, new features, and product enhancements. • Establish standards and processes for building AI-native products, including CI/CD with evals, test sets, and search subsystems. • Select and implement best-in-class open-source and commercial tools, including MCP Servers, A2A communication, CI/CD pipelines, workflows, and agent definitions. • Guide the development of new AI-native workflows involving streaming, long-running tasks, and procedural UX, balancing state-of-the-art technology with pragmatism. • Drive improvements in system architecture, application design, and engineering processes to enhance product functionality and customer experience. • Contribute to hiring, onboarding, and the professional development of team members while supporting a diverse and inclusive workplace. • Collaborate with strategic vendors and technology partners on partnerships, service agreements, and external innovation. Technologies and areas you may work with Python, LangSmith, AI evaluation stacks, OpenAI, Gemini, Databricks, multi-agent systems, MCP Servers, A2A communication, CI/CD, test sets, search subsystems, streaming, and long-running AI tasks. What makes this role distinctive • The opportunity to shape the AI Engineering strategy and define standards for AI-native product development. • Meaningful influence on a developing team, its engineering culture, and its ways of working. • A Group-wide scope rather than responsibility limited to one local business area. • Close collaboration with product, data, technology, and key business stakeholders. • The opportunity to combine emerging technologies with a pragmatic approach to scaling products and engineering processes. • Budget responsibility and influence over relationships with vendors and technology partners. This opportunity may be a strong match if you • Have at least seven years of post-BS or post-MS experience in an engineering role. • Have experience leading high-performing Agile development teams and a strong understanding of Agile principles and methodologies. • Enjoy staying close to the work, contributing hands-on to strategic projects and solving complex challenges while leading your team. • Have a proven track record of delivering scaled, impactful products powered by machine learning. • Know how to build backend platforms capable of supporting multiple product lines. • Combine strong technical judgment with ownership of results, quality, and team development. • Communicate effectively with stakeholders and can influence, negotiate, and translate business objectives into technology decisions. • Work independently, take ownership of decisions, and approach challenges with creativity and pragmatism. • Are fluent in both Polish and English. • Hold a university degree in computer science, mathematics, econometrics, statistics, or another related field. What we offer • A product that has already been released to millions of users, with a real business case, not a lab pilot. • Direct access to frontier models at committed capacity across multiple providers, plus an open-source track we run ourselves. • A quality mandate with executive attention. • Ownership of a platform that is greenfield in practice inside a company with production traffic, which is the rarest combination in this market. • Hybrid working from Warsaw or Kraków, in a team growing fast enough that early hires shape how it works. • Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development. • You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. • Excellent working environment and flexible hours • We offer B2B type of contract InPost Group is an innovative European out of …

ABOUT EASYGENERATOR We’re a fast-growing EdTech scale-up on a mission to revolutionize learning through our award-winning authoring tool. Used by global giants like Kellogg’s, T-Mobile, and Siemens, Easygenerator helps organizations simplify knowledge sharing: fast, easy, and impactful. We’re an AI-first company, utilizing cutting-edge tools in both our products and internal workflows. You’ll gain hands-on AI experience and develop a future-proof skillset while contributing to a fast-moving, high-impact product. ROLE SUMMARY The Head of Demand Generation owns Easygenerator’s end-to-end demand engine: paid acquisition, website, SEO/GEO, content, and conversion. This role turns product positioning into high-performing demand programs that drive qualified pipeline, strengthen authority, and improve full-funnel conversion. A commercially accountable leader, they combine editorial judgment, digital design understanding, and growth discipline to influence pipeline quality and revenue. CORE RESPONSIBILITIES Demand Engine & Pipeline • Own paid, organic, website, and conversion channels. • Translate growth targets into clear priorities and roadmaps. • Deliver predictable marketing-sourced pipeline while balancing short- and long-term growth. Website & Conversion • Lead website structure, messaging, UX, landing pages, and CRO. • Partner with PMM to ensure clear, differentiated positioning. • Maintain clarity, credibility, and performance across touchpoints. Paid & Organic Growth • Lead paid acquisition and €2M+ budget allocation aligned to revenue goals. • Optimize for pipeline and revenue impact with strong attribution visibility. • Build scalable SEO/GEO and intent-based content clusters to grow authority and long-term pipeline. Content & Design • Lead revenue-focused content aligned to buyer journey and enterprise sales. • Ensure digital design supports differentiation, clarity, and conversion. Revenue & Analytics • Own marketing-sourced pipeline targets and key revenue KPIs. • Build quarterly growth plans and improve funnel bottlenecks. TEAM LEADERSHIP • Lead paid, content, web, and design teams. • Establish scalable processes and experimentation frameworks. • Partner closely with PMM, Revenue, and Leadership. QUALIFICATIONS • 5+ years in B2B SaaS digital growth; 2+ years team leadership. • Proven pipeline growth and €2M+ budget ownership. • Strong expertise in paid, CRO, and SEO/GEO. • Editorial judgment, digital design understanding, and enterprise sales awareness. • Analytical and commercially driven. • Hands-on experience with AI agents and agentic workflows (e.g. Claude, other LLM-based tooling), ideally having designed or shipped systems that automate marketing processes end-to-end, not just explored AI tools in a personal context. PREFERRED • Experience in 20M–100M ARR SaaS. • International SaaS exposure. • Close collaboration with PMM and Commercial teams.

What Makes Cloudbeds Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024, but we're just getting started. How You’ll Make an Impact: As the Manager, Global Talent Acquisition , you will be responsible for defining and executing Cloudbeds’ global talent acquisition strategy while elevating the quality, consistency, and effectiveness of hiring across the organization. This is far more than a traditional recruiting leadership role. You will serve as a strategic partner to executive leadership, helping shape workforce planning decisions, hiring strategies, talent market positioning, executive recruiting initiatives, hiring governance, and recruiting operations. You will lead a globally distributed Talent Acquisition team while partnering closely with leaders across Customer Success, Onboarding, GTM, Product, Engineering, Finance, and Staff & Corporate functions. This role will directly impact Cloudbeds’ ability to attract exceptional talent, improve quality of hire, strengthen leadership pipelines, and support the company’s next phase of growth. In this role, you will also be responsible for driving recruiting analytics, workforce planning initiatives, hiring process optimization, executive recruiting programs, and talent intelligence efforts globally. You will leverage data and market insights to influence hiring decisions, identify opportunities, and support organizational growth. Given the strategic nature of the role, this position requires strong business acumen, executive presence, operational excellence, and the ability to influence stakeholders across all levels of the organization. Our People Team: We’re a globally distributed, multicultural People Team spanning NORAM, LATAM, EMEA, and APAC, and that global footprint isn’t just a fact; it’s a strength we fully embrace. Our team brings together a diverse mix of perspectives, experiences, and expertise that help us build thoughtful, scalable, and people-centered solutions across the organization. We partner closely with leaders at every level to help Cloudbeds grow intentionally, build strong teams, strengthen leadership capability, and create exceptional team member experiences. We believe the People Team should be strategic business partners, not simply administrators. We use data, business insight, operational excellence, and strong relationships to influence decisions and drive outcomes. The Manager, Global Talent Acquisition, reports to the Global Director of People and plays a critical leadership role within the People organization, helping shape the future of hiring at Cloudbeds. What You’ll Bring to the Team: Global Talent Acquisition Strategy • Develop, execute, and continuously evolve Cloudbeds’ global Talent Acquisition strategy in alignment with business priorities and long-term organizational growth. • Partner with executive leadership to anticipate future hiring needs and translate business objectives into scalable talent acquisition strategies. • Build recruiting programs that enable sustainable growth while maintaining a strong focus on hiring quality, speed, and consistency. • Continuously evaluate market trends, talent availability, and competitive intelligence to ensure Cloudbeds remains positioned to attract exceptional talent globally. Hiring Excellence & Quality of Hire • Champion hiring excellence across the organization by continuously raising the quality, consistency, and effectiveness of hiring decisions. • Design and implement structured interviewing frameworks, assessment methodologies, and hiring governance processes that improve long-term hiring success. • Partner with leaders to calibrate hiring expectations, strengthen interview practices, and reduce bias throughout the selection process. • Establish quality-of-hire metrics and continuously evaluate hiring outcomes to improve recruiting effectiveness and long-term organizational performance. • Promote an exceptional candidate experience while maintaining rigorous hiring standards and a high hiring bar. Executive Search & Leadership Hiring • Lead executive and senior leadership searches across multiple functions globally. • Develop proactive talent mapping strategies and build long-term relationships with high-caliber leadership talent. • Partner with executive search firms when appropriate while ensuring …

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. On behalf of KD Pharma , GT is looking for an experienced Azure DevOps Engineer to support the infrastructure, security and operational design of a modern Microsoft-based data platform and the wider Azure environment. **Expected Involvement: The engagement is expected to begin with a 6-week Discovery phase, with approximately 45–60 hours of involvement in total . Following successful completion of Discovery and client approval, there is potential to transition into a larger and potentially full-time implementation engagement, with further opportunities around Azure platform improvement and ongoing infrastructure support. About the Client Founded in 1988, KD Pharma is a technology-driven CDMO (Contract Development & Manufacturing Organization) specializing in pharmaceutical and nutraceutical production, including ultra-pure Omega-3 concentrates. The company operates internationally, with locations across Germany, Norway, the UK, the USA, Canada and Peru, and provides end-to-end solutions from development and custom synthesis through to finished dosage forms. About the Project KD Pharma is modernising its data and reporting environment and defining a more scalable, maintainable Microsoft-based platform. The wider technology landscape spans Azure and on-premises infrastructure across multiple international locations, with a mix of modern and legacy business systems including Business Central, NAV, SQL-based applications and reporting solutions. Parts of the environment remain highly manual, with limited documentation, monitoring and infrastructure automation. The initial 6-week Discovery Phase will focus on understanding the current environment and defining the target architecture and implementation approach. From an Azure and infrastructure perspective, the team will: • Review the existing Azure and hybrid infrastructure, networking and security setup • Identify infrastructure, monitoring, resilience and operational gaps • Define the target Azure infrastructure, identity and security approach • Define appropriate IaC, automation and deployment practices • Contribute to PoC design, implementation estimates and the wider technical roadmap If Discovery is successful and the client approves the next stage, the project is expected to move into a longer-term implementation phase, starting with the agreed PoC and expanding into broader platform and infrastructure improvements. About the Role This is a hands-on Azure DevOps Engineer role with architecture exposure . You will work closely with the Solution Architect, Senior Data Engineer and client stakeholders, taking primary responsibility for the Azure infrastructure, networking, identity, security and operational aspects of the proposed platform. The role requires someone comfortable working in a lean environment, assessing an existing setup with limited documentation, making practical technical recommendations and then helping implement the agreed solutions. Responsibilities • Review the current Azure and hybrid infrastructure and contribute to target architecture, PoC scope, implementation planning and estimates • Design, manage and improve Azure and hybrid infrastructure in line with business and technical requirements • Support cloud and hybrid networking, including site-to-site VPN, Azure Virtual WAN / hub-and-spoke architectures, Azure Firewall, Bastion and VNet connectivity • Support identity and access management across Entra ID and on-premises Active Directory • Contribute to cloud and infrastructure security, including credential and secrets-management practices • Improve infrastructure reliability, monitoring and alerting, building on existing Defender and Sentinel tooling • Review and strengthen backup, recovery and disaster-recovery practices across Azure and on-premises infrastructure • Build and improve infrastructure automation, CI/CD and Infrastructure as Code practices using Bicep and/or Terraform • Support legacy Windows Server, SQL Server and on-premises virtualisation environments while contributing to modernisation and migration planning • Contribute to cloud architecture, Azure governance, platform standards and technical documentation • Collaborate with technical and business stakeholders throughout Discovery and implementation Essential knowledge, skills & experience • 5+ years of experience in cloud, infrastructure or platform engineering • Strong hands-on experience with Microsoft Azure and production cloud infrastructure • Strong experience with Azure and hybrid networking , including site-to-site VPN, Virtual WAN / hub-and-spoke architectures, Azure Firewall and Bastion • Hands-on experience with Entra ID, on-premises Active Directory and hybrid …

Please note that this is a Full-Time Contractor (12-month contract) – you’ll have the flexibility to work remotely , with the option to join us in the office whenever you’d like ! Picsart is on a mission to empower the creator in everyone. We're seeking a User Acquisition Specialist (Contractor) with exceptional data analytical skills to drive our paid acquisition and targeting efforts. You'll be instrumental in testing, experimenting, analyzing, and optimizing our campaigns to accelerate growth. How You'll Make an Impact • Strategize & Execute: Launch, manage, and optimize user acquisition (UA) and retargeting campaigns across a diverse range of paid channels, including Meta (Facebook, Instagram), TikTok, Snapchat, Google Ads, and Apple Search Ads, and more. • Analyze & Optimize: Conduct in-depth analysis of campaign performance, identifying trends and providing actionable recommendations to enhance ROI, subscriber rates, and overall growth. • Experiment & Learn: Design and implement rigorous testing strategies to uncover insights around creative performance, targeting effectiveness, tactical approaches, and channel efficiency. • Budget Management: Collaborate with the Head of Acquisition to manage budget allocations and pacing to maximize impact. • Creative Collaboration: Partner with social, content, and creative teams to develop new concepts and iterate on winning creatives. Manage the creative pipeline and maintain a comprehensive UA creative repository. What You'll Bring • 2+ years of experience in performance marketing, ideally in a mobile-first or subscription-based business. • Experience with scaling paid campaigns with >$1M monthly budget responsibility. • Knowledge of key UA metrics (e.g., CTR, CR, CPI, ROAS, LTV) and familiarity with various attribution models and tracking methodologies (AppsFlyer experience is a plus). • Understanding of Google Ads, Apple Search Ads, TikTok and Facebook Ads, coupled with hands-on experience in media buying across various UA channels. • A highly motivated self-starter with strong project management, prioritization, and hands-on execution skills. • Exceptional attention to detail, superior problem-solving abilities, and an inherently analytical mindset. • Outstanding written and verbal communication skills, enabling effective collaboration across teams. Good To Have • A strong background in data analytics and/or engineering is highly preferred, with demonstrated experience in quantitative analysis and experimental design. LI-NA1 What we seek and value most in our candidates Professionalism in both soft and hard skills; motivation to grow, learn and share, positive attitude, flexibility, transparency, ownership and the most important - passion and commitment. Picsart is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are committed to providing reasonable accommodation to employees who have protected disabilities consistent with local law. Picsart, Inc. is an E-Verify Employer in the US. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish . For Applicants Based in California - California Job Applicant Privacy Notice ( https://rb.gy/lqu5mv) ABOUT US Picsart is the world’s largest digital creation platform and a top 20 most downloaded app . Every month, the Picsart community creates, remixes, and shares billions of visual stories using the company’s powerful and easy-to-use editing tools. Picsart has amassed one of the largest open-source content collections in the world, including free-to-edit photos, stickers, backgrounds, templates, and more. Picsart is available in 30 languages for free and as a subscription on iOS, Android, Windows devices and on the Web. Headquartered in Miami, with offices around the world, Picsart is backed by SoftBank, Sequoia Capital, DCM Ventures, Insight Partners, and others. Download the app or visit picsart.com for more information.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 but we're just getting started. Location: Remote - (Europe) How You'll Make an Impact: As a Principal Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems. • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Prefect, Dagster), and model monitoring/drift detection at scale. • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices. • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps. • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions. • Domain Knowledge : Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production. • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) • Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). • Expert-level SQL skills and experience working with large datasets for analysis and modeling. • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges. • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams. • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. • Experience with data quality monitoring tools and frameworks. • Master’s or PhD in Computer Science, Mathematics, or a related field. LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite …

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Technical Program Manager to own the operational readiness and ongoing health of our fleet of Data Centers, both COLO and BTS sites. In this role you will be the single point of accountability for ensuring each site runs as expected — SLAs met, maintenance executed on schedule, and audits passed — across a growing portfolio of landlord-operated and purpose-built facilities. You will operate as the primary interface between Nebius and our data center landlords and operators, and you will partner closely with the Nebius IT team to translate site-level operations into reliable infrastructure for our customers. This is an individual contributor position for someone who is equally comfortable in a contractual SLA review, a maintenance window planning call, and a physical site audit. You will define the mechanisms that keep our sites accountable and surface risk before it becomes an incident. Key job responsibilities • Own the operational health of Nebius COLO and BTS sites, ensuring each facility runs to expectation across power, cooling, space, connectivity, security, and environmental controls. • Track, monitor, and enforce SLA compliance across landlords and colocation providers; identify breaches, drive remediation, and hold providers accountable to contractual commitments. • Manage and coordinate site maintenance schedules — preventive and corrective — including planning and approving maintenance windows, reviewing Methods of Procedure (MOPs), and minimizing risk to live workloads. • Plan and drive site audits covering compliance, capacity, power/cooling performance, physical security, and safety; track findings to closure. • Serve as the primary day-to-day interface with data center landlords and operators, managing the operational relationship, escalations, and coordination of on-site activity. • Partner closely with the Nebius IT team on deployments, capacity planning, incident response, and change management at each site. • Build reporting mechanisms and dashboards that give leadership clear visibility into site health, SLA performance, maintenance status, and open risk across the portfolio. • Lead incident coordination and post-incident follow-up, including root cause analysis and corrective action tracking with landlords and internal teams. • Track and manage contractual operational obligations, deliverables, and timelines across multiple sites and providers simultaneously. About the team The Data Center team is responsible for the physical infrastructure that underpins Nebius' AI cloud. We manage the full lifecycle of our COLO and BTS footprint — from bringing new capacity online to keeping live sites running reliably at scale. We work at the intersection of facilities operations, vendor management, and IT infrastructure, and we move fast because our customers' AI workloads depend on the reliability we deliver. Basic qualifications • 10+ years of experience in technical program management, data center operations, or critical facilities/infrastructure management. • Experience managing data center infrastructure and operations (power, cooling, space, connectivity) in colocation, build-to-suit, or owned environments. • Experience managing third-party vendors, landlords, or service providers against SLAs and contractual obligations. • Demonstrated ability to manage multiple programs, sites, or workstreams simultaneously and drive them to measurable outcomes. • Bachelor's degree in a relevant field, or equivalent practical experience. Preferred qualifications • Direct experience with colocation (COLO) and build-to-suit (BTS) data center models, including operating across multiple landlords and operators. • Working knowledge of data center SLAs, MOPs/SOPs, maintenance regimes, and audit and compliance frameworks (e.g., Uptime Institute Tier standards, SOC 2, ISO 27001). • Experience supporting AI/HPC, GPU cluster, or other high-density compute infrastructure. • Strong familiarity with incident management and root cause analysis in a critical facilities context. • Experience building reporting mechanisms, dashboards, or operational scorecards for infrastructure health and risk. • PMP, Uptime ATD, or …

Description CapsLock is a global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We solve complex sales challenges across a wide range of industries, primarily for large North American partners. By integrating our expertise in Digital Marketing, IT, Design, AI-driven analytics, proprietary MarTech, and sales consulting, we deliver powerful, data-informed customer acquisition solutions. At CapsLock, people, technology, and forward-thinking innovation lie at the heart of everything we do. Our diverse, global team, fluent in over 10 languages, thrives on open collaboration and the exchange of new ideas, pushing boundaries to ensure our clients' success. Role overview We are building CapsLock's AI Media Production platform, and we're hiring the tech lead who will architect it. We generate visuals of real products, not concepts. Every asset must match the client's actual product 1:1 - down to hardware and geometry. No artifacts, no hallucinations, no "close enough" . This is a control and reproducibility problem, not a prompting problem, and it needs an engineer. This is a greenfield build. You'll be the first engineer in this direction, working directly with the Design Director as the technical interface between creative teams and software infrastructure. What you will work on • Architect and run our AI Media Production platform: serving ComfyUI or similar engines, GPU environments, one-click UIs for non-technical teams; • Ship modular, versioned, reproducible generative pipelines, node-based and/or code-first (e.g. diffusers); • Develop one-click presets and use cases for image and video generation; • Train LoRAs end-to-end: from real product photography to evaluated, production-ready models; • Build control-first generation into every pipeline: ControlNet, IP-Adapter, inpainting, reference conditioning; • Engineer QC into the pipeline itself: automated checks against product references, before a human ever reviews; • Build our creative intelligence loop: encode what makes our best-performing assets work into reusable presets and styles; • Own the technical roadmap with the Design Director; qualify new models and tools; drive adoption through enablement, not mandates. Requirements Your must haves You don't need to meet every single requirement. If you're excellent in most of these areas and can show shipped work, we'd love to hear from you. • Shipped generative pipelines adopted and used daily by other people; • Production-grade workflows in ComfyUI or similar technologies, or equivalent code-first experience (e.g. diffusers); • Strong Python: automation, API integrations, custom nodes; • LoRA training end-to-end, from dataset curation to evaluation; • Control techniques across modalities (t2i, i2i, i2v, v2v): ControlNet, IP-Adapter, inpainting, reference conditioning; • Deploying pipelines as internal tools; • Enough visual literacy to set the quality bar (no design portfolio required); • Confident English (B2+). Nice to have • 3D/render-hybrid workflows: Blender or CAD renders as geometric ground truth with generated environments; • LLM orchestration and agentic workflows: automated prompt generation, VLM-based QC; • Experience producing visuals for performance marketing. What we offer • Remote Work - we offer a truly and fully remote environment. You choose where you are the most productive and comfortable to have an impact. • Paid vacations - generous paid vacation policy to ensure you have time to recharge • Unlimited Sick Days - we understand that being only human means getting sick or feeling under the weather from time to time, so we guarantee you time off as long as you need to recover and get back on your feet. • Ongoing Learning - people at CapsLock are deeply inquisitive and eager to learn new knowledge and skills, that's why we support and create learning opportunities like the Free Books program, workshops, conferences, and more. • Home Office - we will cover the equipment and furniture expenses to make sure you have the best work-from-home experience. • Physical Well–Being - We will cover costs of your medical insurance. Additionally we offer an allowance for a flexible fitness program. • Fun Stuff - there is never a shortage of fun stuff

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the team The Compute Systems Engineering organization owns the full systems stack behind Nebius HPC and GPU Cloud deployments. We develop and operate the core components of our virtualization platform— including the Linux kernel, KVM, QEMU, device drivers, and firmware — together with ultra-high-bandwidth, HPC-grade networking, state-of-the-art NVIDIA GPUs, and other cutting-edge hardware. In less than two years, we have brought up and successfully operated large-scale B300 and H200 GPU clusters for Cloud customers. These deployments comprise tens of thousands of GPUs across multiple data centers in US, UK, France, and other European countries – with hundreds of thousands more GPUs expected to follow.One of our most significant challenges is continuing to evolve and scale the Nebius Compute platform to support NVIDIA’s flagship GB300 systems and upcoming VR200 solutions. Our organization is responsible for: • Regularly adapting our systems stack to support the latest hardware platforms and technologies. • Developing and maintaining performance improvements and customer-facing capabilities – based on both business requirements and engineering needs. • Building and operating reliable, comprehensive deployment automation and validation processes. • Ensuring that our systems provide sufficient observability across the entire stack. • Supporting customers with complex technical issues that prevent them from fully utilizing Nebius Cloud GPU and CPU capacity. We participate in every major hardware bring-up at Nebius, delivering critical platform enablers and conducting comprehensive system validations. The reliability and performance of Nebius Cloud offerings depend directly on the work of our organization. About the role We are looking for a seasoned Technical Program Manager with approximately five to ten years of relevant experience. You will help us sustain, scale, and continuously improve our operational and software development processes, both within the Compute Systems Engineering organization and across the broader set of teams, partners, customers, and vendors with whom we collaborate. You will work in a deeply technical and fast-moving environment where successful programs require coordination across hardware and software engineering, infrastructure, cloud operations, customer support, and external technology partners. You will help teams manage complex dependencies, identify and address risks, improve execution, and establish processes that continue to work as the scale and complexity of our infrastructure grow. This role requires someone who is comfortable operating across organizational boundaries, working with incomplete information, and bringing clarity and structure to technically complex, long-running infrastructure programs. What we’re looking for • Demonstrated ability to coordinate complex technical programs across multiple teams, identify dependencies and risks, establish clear ownership, and drive programs toward measurable outcomes. • Strong written, verbal, and interpersonal communication skills, with the ability to build and maintain productive cross-functional relationships with engineering teams, business partners, customers, and vendors. • Relevant technical knowledge and a strong curiosity about how systems work. Our platforms are inherently complex, operate close to the hardware, and contain many moving parts, so the ability to understand technical details and communicate effectively with engineers will be a significant advantage. • Strong attention to detail, particularly when managing long-running infrastructure programs with numerous technical dependencies, milestones, stakeholders, and operational requirements. • An open-minded and creative approach to problem-solving. You should be willing to simplify, adapt, replace, or fundamentally redesign existing processes when doing so will improve efficiency, execution, or reliability. • A hands-on mindset and a willingness to contribute directly when needed. The ability to assist teams with program execution, technical coordination, documentation, process development, issue investigation, or operational improvements will be highly valued. • …

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for a Product Growth Analytics Lead. You can work from our offices in Amsterdam or London , or remotely from any EU country . Your responsibilities will include: • Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. • Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. • Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. • Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. • Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, capacity, and product priorities. • Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: • Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. • Hands-on experience analysing large-scale customer, product, and usage datasets using analytical or distributed data-processing tools. • Strong financial modelling skills and the ability to turn complex data into clear recommendations. • Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. • Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. • A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. LI-IV1 The role We are seeking a highly technical and experienced Network Planning Technical Project Manager to join our infrastructure team. In this pivotal role, you will be the bridge between internal data center development teams and external telecommunications partners. You will own the connectivity lifecycle—from initial site opportunity assessment through to the final Outside Plant infrastructure delivery—ensuring our facilities are seamlessly integrated into the global network. The ideal candidate possesses a deep understanding of fiber optics, ISP commercial structures, and geospatial data management, coupled with the project management discipline to drive complex, multi-stakeholder builds across the region. You’re welcome to work in our Amsterdam office or remotely from Europe. Your responsibilities will include: Cross-Functional Collaboration & Strategy • Integrated Project Delivery: Work in lock-step with other Network TPMs, DWDM engineers, ITDC (Infrastructure Technical Data Center) teams, Network Procurement, and Construction departments to ensure cohesive project execution. • Datacenters PoP Selection: Partner with the site selection team to evaluate connectivity feasibility. Lead the technical validation of long-haul wave proposals and dark fiber options to inform Datacenter and PoP selections. • Infrastructure Design: Act as the technical lead for fiber pathway architecture from the "0 manhole" to the internal access panels. Oversee the design of manhole placements, conduit systems, and site entry points to ensure optimal route diversity. • MMR/POE Integration: Collaborate with engineering teams on the layout of Point of Entry (POE) and Meet-Me Rooms (MMR), ensuring space, power, and structural readiness for high-capacity, multi-carrier fiber and MOFN (Managed Optical Fiber Network) arrivals. Carrier Relations & Commercial Management • Strategic Partnerships: Build and maintain strategic relationships with regional/ Continental ISPs, private dark fiber owners, and utility providers. • Procurement & Negotiation: Collaborate with Network Procurement on RFx process for last-mile, middle-mile, and long-haul capacity. Lead negotiations for IRU (Indefeasible Right of Use) agreements, long-term leases, and MOFN service structures. • Colocation: Coordinate with fiber owners to secure necessary rack space, power, and environmental resources within ILA (Inline Amplification) sites. Network Data & Geospatial Management • Documentation: Maintain internal databases of fiber/connectivity routes, including rigorous management of KMZ/KML files. • AutoCAD: Utilize AutoCAD to review, modify, and create site infrastructure and conduit design plans, ensuring accurate documentation of physical plant deployments. We expect you to have: • Education: Bachelor’s degree in Engineering, Telecommunications, or a related field (or equivalent professional experience). • Industry Expertise: 5+ years of experience in network infrastructure, OSP planning, or data center connectivity project management. • Technical Proficiency: AutoCAD: Proficiency in creating and reviewing site infrastructure/conduit designs. • GIS: Advanced ability to work with geospatial tools and KMZ/KML files. • Optical Networking: Strong grasp of DWDM technology, ILA requirements, and the technical lifecycle of MOFN deployments. • Commercial Acumen: Demonstrated success in negotiating complex fiber leases, IRUs, and construction contracts. • Relationship Management: Proven ability to influence stakeholders and external vendors to meet aggressive regional deployment timelines. Preferred technical stack: • Deep knowledge of the regional fiber landscape, including utility right-of-way and regional infrastructure challenges. • Experience with large-scale 100Tbps+ capacity planning and deployment. • Ability to read and create code in Python or Go that is relevant to the position. • Knowledge of service provider or datacenter IP Networking is preferred. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International …

About Mesh At Mesh, our mission is to enable consumers to pay and be paid with any asset. Today, trillions of dollars in tokenized assets exist but remain largely unusable for everyday commerce. Mesh is bridging this gap by making crypto payments reliable, useful, and ubiquitous. We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world. Backed by leading investors like PayPal Ventures, Paradigm, and Galaxy Ventures, we are building the infrastructure for the next era of the global economy. Join us! Overview We're looking for a Solutions Architect to guide customers from signed contract to live and scaling. You'll be the technical expert on our APIs and SDKs, designing implementation strategies, mentoring customer eng teams, and building playbooks that help companies across fintech, iGaming, PSPs, and top exchanges ship faster. You'll work closely with Sales (who owns the commercial relationship) and partner with Solutions Engineers and Support. What You'll Do • Serve as a trusted solutions consultant, driving fast, successful customer implementations and adoption • Design and deliver post-sales solutions (analytics, processes, documentation, infrastructure) that accelerate time to value • Optimize tools and data (Gong, Pylon, Kapa, Datadog, Amplitude, AI self-service) to improve workflows and customer experience • Guide customer engineering teams on SDK and API best practices to reduce timelines and scale rollouts • Triage and resolve technical issues across customers and internal teams to maintain momentum • Create playbooks and implementation guides to speed onboarding and drive usage • Partner cross-functionally and with executives, leading technical deep dives and platform optimization • Stay current on crypto/fintech trends; travel occasionally (~1x/month) Who You Are • Bachelor's degree in Computer Science, Data, or equivalent hands-on experience • 3+ years in solutions engineering, solutions architecture, technical project management, or support engineering—ideally leading implementations in a startup environment • Strong communicator who builds trusted relationships with customers and cross-functional partners • Proven hands-on experience designing, using, and troubleshooting APIs and integrations • Comfortable managing multiple projects and priorities in a fast-paced environment • Fluent in APIs, SDKs, and modern tooling (API management, reporting, AI/automation) • Working knowledge of crypto and fintech, including blockchain technology, digital assets, regulatory considerations, and real-world use cases • Experience on early-stage or founding teams strongly preferred Why You’ll Love It Here At Mesh, you're not stepping into a typical role—you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big—this is where you'll want to be. In-Office Expectations Employees based in our San Francisco, New York, and Bangalore hubs are expected to work from the office at least 40% of the time (approximately two days per week). This expectation may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional in-office requirements, which will be discussed during the interview process. Our hybrid approach is designed to balance meaningful in-person collaboration, team building, and real-time decision-making with the flexibility to work remotely. We believe this structure supports strong execution while preserving autonomy and focus time. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO—and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national …