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Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be joining a team at the intersection of strategic execution and executive operations. This hybrid role combines program management ownership with high-touch executive support, working closely with senior leadership to drive critical initiatives and ensure seamless day-to-day operations. What You’ll Be Doing Prepare the CEO for key meetings: Develop concise briefings and coordinate pre-read materials covering the purpose, background, key discussion points, relevant data and decisions required. Identify missing information and obtain clarification before meetings. Manage strategic meetings end-to-end: Coordinate agendas, participants, meeting sequencing and material submission deadlines. Consolidate presentations and review them for clarity, completeness, consistent messaging, formatting and obvious discrepancies before circulation. Drive post-meeting follow-through: Prepare accurate meeting notes and decision records; translate agreed outcomes into specific actions with accountable owners, deliverables and deadlines. Maintain an action tracker, follow up regularly and escalate delays or unresolved issues. Track the CEO’s priority projects: Work across functions to monitor milestones, dependencies and delivery commitments. Provide concise progress updates highlighting risks, blockers and matters requiring leadership intervention. Filter and synthesise information: Distil reports, feedback and requests into clear sk lummaries of what the CEO needs to decide or know. Prioritise by urgency and business impact, highlighting the decision required, available options and relevant context. Coordinate external engagements: Manage invitations, responses and preparation for engagements with business partners, regulators, media, investors and industry conferences. Conduct preliminary reviews of interview briefs, publicity materials and correspondence, coordinating review and approval by the relevant functions before release. Deliver proactive executive support: Manage the CEO’s calendar, travel, meeting logistics and expenses, aligning time allocation with priorities and anticipating scheduling conflicts and preparation needs. Improve CEO office workflows: Establish practical systems for briefing preparation, information management, project tracking and follow-up. Use approved AI and automation tools to improve efficiency while protecting confidential information and verifying outputs. What We Look For In You Demonstrated experience supporting senior executives and coordinating complex meetings or cross-functional initiatives in a fast-paced, international environment. Strong business judgement and prioritisation skills, with the ability to distinguish routine coordination from matters requiring the CEO’s attention. Excellent written communication and information synthesis skills; able to turn complex or fragmented inputs into concise, accurate briefings. Strong execution discipline, with a track record of translating decisions into actions, tracking commitments and escalating issues early. Confidence working with senior stakeholders, obtaining timely inputs and challenging incomplete or inconsistent information professionally. Exceptional discretion and care when handling sensitive executive, employee, customer and external stakeholder matters. Strong analytical skills and attention to detail, including the ability to interpret key data and identify gaps or inconsistencies. An AI-forward working style, using approved tools responsibly and critically reviewing outputs before use. Bachelor’s degree or equivalent relevant experience. Proficiency in Mandarin to communicate effectively with internal stakeholders across the region. Ability to travel up to 30% of the time for leadership meetings and regional site visits. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Disclaimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will build software that helps small businesses understand their performance, trust their numbers and make informed decisions. Your work will support the evolution of reporting at Xero, giving customers more flexible ways to explore financial data, shape reports and trace results back to the transactions behind them. You will take ownership of engineering problems from design through production, balancing performance, accuracy and ease of use. Working closely with Product, Design and other engineers, you will turn complex requirements into reliable software while protecting the reports and workflows customers already depend on. Through clear communication, constructive feedback and knowledge sharing, you will also help shape a growing Vancouver team. You will have room to question existing approaches, test ideas and contribute to how the team builds and delivers software. The team / how they connect You will join the Reporting team within Reporting, Insights and Data-In, building customer-facing experiences and shared platform capabilities that support reporting across Xero. The team helps customers understand business performance and prepare financial statements, while enabling product areas such as Payroll, Tax and Inventory to build on shared reporting foundations. With more than 160 million reports run each month, the work combines customer impact with engineering challenges in performance, financial correctness and scale. As the Vancouver team grows, you will have the opportunity to influence both the technology and the team’s ways of working. The team is currently working on / Initially, you will focus on - Building flexible reporting experiences that let customers combine business data, reshape views, save configurations and explore underlying transactions. - Improving reporting engine performance so complex queries remain responsive as data volumes and customer needs grow. - Keeping calculations accurate and results up to date when transactions are corrected or source data changes. - Creating shared reporting capabilities that other product teams can use, including consistent calculations, permissions and performance patterns. - Making reported numbers easier to inspect and trace back to their source, while preserving existing reports, layouts and workflows. - Using AI to improve engineering workflows and verification, while exploring new ways for customers to describe financial questions and shape reports. Your initial ownership could include a customer-facing reporting capability, a performance improvement or a shared platform component, taking the work from early investigation through to production. Where and how you can work This role is based in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. Here are some of the things we are looking for - You bring strong software engineering experience and a track record of delivering and operating reliable software in production. - You have practical experience working with data-intensive systems, relational databases or complex queries, with an understanding of how design choices affect performance. - You care about data correctness and can build automated checks that give the team confidence in calculations and system behaviour. - You can work through ambiguous problems, weigh technical trade-offs and deliver useful improvements without overcomplicating the solution. - You take ownership across the delivery lifecycle, from understanding customer needs and shaping an approach to testing, deployment and production support. - You communicate your reasoning clearly, welcome constructive challenge and collaborate with Product, Design and engineering partners. - You are interested in applying AI tools to engineering work, with the judgement to verify outputs and remain accountable for quality. Experience with reporting, analytics or financial software would be valuable. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Espoo Workplace: Hybrid Role highlights: - Senior Smart Manufacturing Engineer, Electronics - Location: Espoo, Finland - Department: Global Manufacturing Organization, Smart Manufacturing Engineering - Reports to: Team Lead, Smart Manufacturing Engineering - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Smart Manufacturing Engineer, Electronics, you’ll own the test systems that every ICEYE satellite passes through before it reaches orbit. You’ll design and standardize the production and integration test equipment used across our manufacturing sites, find the bottlenecks that would otherwise cap how fast we can scale, and set the technical standard for the engineers around you. This is a hands-on design role with organization-wide influence: what you build and document becomes how we manufacture. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities   - Design, build and own the production and integration test systems used on the line, including the electrical ground support equipment. - Drive standardization of test equipment across products and sites, so designs and interfaces are reused rather than rebuilt each time. - Define test strategies: coverage, test limits, guard bands, failure modes and diagnostics. - Produce and maintain the design documentation other engineers execute from, including schematics, test requirements, procedures and interface definitions. - Use production and test data to find yield issues, bottlenecks and systemic weaknesses, then implement the fixes before they limit the ramp. - Review designs from other teams and set the requirements they must meet to integrate cleanly into our production workflow. - Mentor junior and mid-level engineers through design reviews, feedback and knowledge sharing. What we’re looking for Must haves: - Several years of electronics design and test system development experience, ideally on high-reliability or high-complexity products (space, defence, telecom, automotive, industrial or similar). - Strong analog and digital electronics design, including high-speed digital work (signal integrity, impedance control, power integrity) and PCBA design for manufacturability and testability. - A track record of designing, implementing and maintaining automated test systems or electrical ground support equipment, taken from concept through to stable production. - Hands-on RF and mixed-signal test and characterization, including S-parameters, matching networks and filters, with the instruments that go with them (spectrum analyzers, vector network analyzers, signal generators). - Test automation in Python and embedded development in C/C++ on common microcontrollers such as STM32, TI or MSP430. - Experience mentoring engineers and running design reviews, with documentation quality to match. Nice to haves: - Altium Designer or KiCad, and RF simulation in CST or AWR. - Lean or Six Sigma background, and quality methods such as FMEA, 8D or fault tree analysis applied to production problems. - Experience scaling a manufacturing line: ramp-up, multi-site rollout and continuous improvement. - Real-time operating systems such as FreeRTOS, and serial interfaces including USB, CAN and RS-485. - Confident use of AI tools in day-to-day engineering work. Application Process - Recruiter Interview - Hiring manager interview - Technical assessment - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced U.S.-licensed attorney specializing in energy and utilities regulation to contribute to an advanced AI training initiative. The ideal candidate has substantial, hands-on experience advising utilities, independent power producers, or energy regulators on regulatory compliance, rate design, tariff structures, and energy market operations. In this role, you will apply your legal expertise to evaluate complex regulatory scenarios, develop well-supported legal analyses, and review the accuracy of legal reasoning used to train next-generation AI systems. You will work with matters involving the Federal Energy Regulatory Commission (FERC), state Public Utility Commissions (PUCs), and Independent System Operators/Regional Transmission Organizations (ISOs/RTOs). No previous AI experience is required. Your practical legal expertise, analytical judgment, and ability to explain complex regulatory issues are what matter most. Job Type: Contractor Location: Fully Remote — Worldwide (Active U.S. Bar License Required) Experience: 4+ years of relevant legal practice Key Responsibilities Analyze complex energy and utilities regulatory questions involving rate design, tariff structures, market operations, and compliance obligations. Apply federal and state energy regulatory frameworks to realistic legal scenarios. Evaluate regulatory matters involving FERC, state PUCs, and ISO/RTO markets. Develop clear, structured legal analyses supported by relevant regulatory principles and practical experience. Identify jurisdictional differences, unsettled legal questions, and fact-dependent regulatory interpretations. Review and validate legal analyses produced by other contributors for accuracy, completeness, and clarity. Provide constructive feedback to improve the quality and reliability of AI-generated legal reasoning. Identify ambiguous or insufficiently defined regulatory scenarios and escalate them to project coordinators. Deliver accurate, high-quality work within established project timelines. Requirements Juris Doctor (J.D.) from an ABA-accredited law school. Active U.S. bar admission in at least one state or the District of Columbia. Minimum 4 years of substantive, hands-on experience practicing energy and utilities regulatory law. Demonstrated experience advising utilities, independent power producers, energy market participants, or regulatory authorities. Strong understanding of energy regulatory compliance, utility rate structures, tariffs, and market frameworks. Practical familiarity with FERC regulations, state PUC proceedings, and/or ISO/RTO regulatory environments. Strong legal research, analytical reasoning, and written communication skills. Ability to distinguish established legal principles from unsettled, jurisdiction-specific, or fact-dependent issues. Ability to work independently and deliver detailed, well-reasoned legal assessments.

Location: Australia; Singapore; Pakistan; Philippines; Nepal; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a specialist marketing and lead generation agency dedicated to the renewable energy sector across the UK and US markets. With over 30 years of collective experience in sales and consultancy, the team helps businesses in the solar, EV charging, and green heating industries scale through high-quality customer acquisition. They provide a sophisticated suite of automated marketing tools and managed services across platforms like Meta and Google, focusing on transparent, data-driven results that convert into tangible sales. As a fast-growing company built on a foundation of reliability and innovation, they pride themselves on bridging the gap between renewable energy providers and the customers who need them most. The team operates with a collaborative, tech-forward mindset, utilizing advanced CRM systems and automation to drive industry-leading performance. Candidates will join an impact-driven environment that values trust and technical excellence while contributing to the global transition toward sustainable energy solutions. Job Type Full-time Job Summary We are seeking a high-performing Meta Ads expert to lead the charge for a UK-based agency specializing in the renewable energy sector. This is not a generalist media buying role; it is a specialized position for a technical strategist who lives and breathes lead generation. As the primary driver of ROI for solar and battery storage clients, you will own the end-to-end performance of complex campaigns. Key Responsibilities Launch, manage, and scale high-volume lead generation campaigns across Facebook and Instagram daily. Oversee the full campaign lifecycle, from initial technical setup (Pixel, CAPI, and UTMs) to advanced horizontal and vertical scaling. Monitor key performance indicators including CPL, CTR, Frequency, and Lead Quality, making proactive adjustments to combat creative fatigue. Build and optimize high-converting landing pages and funnels, utilizing A/B testing and CRO principles to maximize lead flow. Manage client accounts independently, making high-level strategic decisions and communicating performance results clearly. Collaborate with creative teams and account managers to ensure messaging aligns with lead quality goals. Integrate lead data with GoHighLevel and other CRMs via Zapier and webhooks to ensure seamless lead nurturing. Requirements Must-Have: 5+ years of verified experience managing Meta Ads campaigns within an agency environment. South Africa residency (Remote position). Deep technical mastery of Meta Ads Manager, including Advantage+, Conversion API, and complex attribution settings. Proven track record in high-ticket lead generation (Solar, Home Services, Real Estate, or B2B) rather than e-commerce. Demonstrated experience in Landing Page/Funnel creation and Conversion Rate Optimization (CRO). Strong analytical mindset with the ability to troubleshoot technical issues and analyze data to drive strategy. Leadership maturity with the ability to own accounts end-to-end and drive long-term client retention. Nice-to-Haves Proficiency with GoHighLevel and automation workflows. Experience with Zapier and lead-to-CRM integrations. Familiarity with Google Search and Performance Max campaigns. Benefits 💰 Competitive market-related salary 🌎 Fully remote work environment (South Africa based) 📈 Long-term stability in a fast-growing global sector 🎯 Performance-focused and professional agency culture 🛠️ Opportunity to work with industry-leading marketing stacks and automation tools

Location: Spain; Portugal; Poland; Hungary; Czechia Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. The Role We are looking for a senior Applied AI Engineer to join Operations and improve how our business teams work. You will work directly with Support, Finance, Sales Ops, HR, IT, and Legal to turn repetitive tasks and disconnected workflows into reliable AI-powered tools and automations. We build AI to solve real problems, not to follow hype or impress investors. You will investigate how work gets done, propose improvements, and own technical decisions and delivery. We expect you to take initiative, deliver useful results quickly, and improve solutions through short iterations and feedback. What you’ll do Work with teams to understand their workflows, find bottlenecks, and propose improvements. Agree process changes with the COO and relevant teams before implementation. Build AI tools and automations that connect business systems and handle tasks such as document processing or ticket triage. Deliver working versions quickly and improve them through feedback. Prioritize opportunities by time saved, error reduction, and risk. Measure whether solutions deliver those benefits, reduce costs, and are actually used. Run and support what you build. Test AI outputs, keep integrations reliable as systems change, and manage failures, latency, and cost. Protect customer and employee data through limited access, minimal exposure, and redaction before model calls. Work with IT and Security on safeguards, audit trails, and human review where needed. Evaluate AI tools and vendors, and recommend when to use an existing solution versus building one. Document workflows and runbooks, train teams to use the solutions, and help them identify and request further automations. What we’re looking for 4+ years in operations engineering, business systems, automation, or a similar role, with 1+ years building production LLM or AI-enabled workflows. Hands-on experience with workflow automation platforms and REST APIs, webhooks, JSON, and OAuth. Strong working knowledge of prompt design, retrieval-augmented generation, and agent/tool-use patterns. Proficiency in Python or JavaScript, and comfort with cloud services; AWS preferred. Experience with at least one major business system, such as NetSuite, Salesforce or ServiceNow. Ability to translate business needs into technical solutions and explain trade-offs to non-technical leaders. Sound judgment and practical knowledge of AI security, privacy, and data governance, including least-privilege access, sensitive-data protection, data minimization, and approval controls for sensitive actions. Nice to have Experience with Microsoft 365 / Teams integrations and Microsoft Graph. Background in finance, revenue, or support operations processes. Familiarity with process mining, BI tools, or SQL. Experience with SOC 2, ISO 27001, or similar compliance frameworks. Relevant AWS, Azure, or security certifications. Familiarity with IT management, RMM, or endpoint security concepts. Experience shipping software with coding agents such as Claude Code or Codex, including harnesses, development loops, reusable skills, and context and specification management. Hands-on ownership of production backend services/APIs, with practical database and container experience. Systematic AI evaluation using datasets, metrics, baselines, reproducible experiments, and regression detection. Deeper ML foundations, statistical experimentation, and model training or fine-tuning. Experience with runtime isolation and sandboxing for sensitive execution. What Success Looks Like First 30 days: Understand key workflows and systems, and deliver a prioritized automation backlog First 90 days: Ship 3-5 production automations or integrations with measured impact, and publish AI usage and data-handling standards First year: Establish a repeatable intake-to-deployment process, show clear gains in hours saved and error reduction, and make AI tooling a trusted part of daily operations How We Measure Impact Hours saved, cycle-time reduction, error and rework rates, automation reliability (uptime and failure rate), AI cost per task, and stakeholder satisfaction. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Riverside, United States Partner One is a long-term investment group specializing in the acquisition and growth of successful software companies. With over 30 years in business, we own and operate some of the fastest-growing enterprise software companies globally. More than 2,000 of the world’s largest corporations and governments rely on our software for their most critical operations and to safeguard their most valuable data. We are looking for a Junior Support Engineer to join our team based at our Riverside Data Centre, California – this DC hosts infrastructure and equipment supporting multiple companies across our portfolio.  This is a hands-on, junior technical role, ideal for someone looking to build their experience across IT support, hardware, networking, and data centre operations. You’ll work alongside our existing Data Centre Engineer and wider IT teams, helping with day-to-day requests and providing on-site support when physical access to equipment is required. We’re not looking for someone who knows everything already; our goal is to identify someone practical, reliable and keen to learn, who is comfortable working with IT hardware and following technical instructions Responsibilities: Install, rack and cable servers, switches and other network equipment Assist with basic installation and decommissioning of Data Centre hardware Provide ‘Smart Hands’ support for our wider IT teams and portfolio companies Carry out tasks such as power cycling equipment, checking connections, reseating cables and replacing basic components Supporting our existing Data Centre Engineer when additional resource is needed Troubleshoot basic network connectivity issues, including checking cabling, ports, connections and device status Escalate more complex infrastructure or networking issues to the appropriate engineer or technical team Assist with laptop and end-user device management Receive returned equipment and ensure assets are correctly recorded and stored; wipe and securely prepare laptops and other devices for re-use or disposal; configure and prepare devices to be shipped to new or existing users Assist with IT asset and inventory management, including tracking equipment entering and leaving the Data Centre Follow documented processes and maintain accurate records of work completed, and assist with other hands-on IT and Data Centre tasks as required Requirements A basic understanding of computer hardware and networking Confidence working with laptops, desktops and other IT equipment A basic understanding of network concepts such as IP addresses, switches, network ports and Ethernet connectivity An interest in learning more about servers, networking and Data Centre infrastructure The ability to follow technical instructions and documented processes carefully Good organization, attention to detail and problem solving skills A willingness to ask questions and escalate when something is outside your knowledge or experience. Good communication skills and a helpful, service-focused attitude with the ability to work collaboratively with engineers and IT teams who may be based remotely Data Center experience/exposure. Preferred Requirements Experience in any of the following would be useful, but is not essential: Working in an IT Help Desk, Service Desk or desktop support environment Installing or replacing computer hardware Basic network troubleshooting Server or network rack installation and cabling Laptop imaging, configuration or device management IT asset management Microsoft Windows and Microsoft 365 Working with a ticketing system such as Jira CompTIA A+, Network+ or similar entry-level IT certifications Benefits This role offers an opportunity to gain hands-on experience across a broad range of technologies and environments. You’ll work with infrastructure supporting multiple companies, giving you exposure to Data Centre operations, networking, servers, end-user computing and IT support. For someone at the beginning of their IT career, it’s a great opportunity to develop practical skills while working alongside more experienced engineers and gradually taking on greater technical responsibility. Compensation The estimated compensation range for this role is $40,000 - $60,000/ year Gross USD. Actual compensation will be based on local market benchmarks and relevant experience. This recruitment process may use automated or artificial intelligence to screen or assess applicants This job posting is for an existing vacancy.

Location: Amman, Jordan We are looking for a Marketing Database & Research Coordinator who will manage, maintain, and enrich our marketing database, ensuring data accuracy, consistency, effective segmentation, and campaign targeting. The role also involves conducting regional market research, identifying relevant industry events, assessing market opportunities, tracking trends, and monitoring developments across different markets. Responsibilities Database Management Define and enforce data standards across the database, including naming conventions, field formats, job title and industry classifications, country and city values, and phone and email formats. Standardize incoming records so every entry follows the same structure, whatever its source. Find and merge duplicate records, and resolve conflicting information between entries. Maintain data entry guidelines and ensure consistency. Acquiring New Contacts Find and add new contacts and accounts that match the company's target profiles by industry, company size, seniority, and region. Source contacts through company websites, industry directories, association member lists, event attendee and exhibitor lists, and enrichment platforms. Capture and process leads from events, webinars, campaigns, and inbound channels, and validate them before they enter the marketing database. Build targeted contact lists by region and segment to support campaigns and sales outreach. Track contact acquisition against targets for each region. Keeping Data Up to Date Verify and refresh existing records on a regular schedule, updating job changes, company changes, new decision-makers, and contact details. Detect and fix outdated, bounced, or invalid contacts, and archive records that are no longer relevant. Enrich incomplete records with missing fields such as title, department, company size, and location. Run periodic data health audits and report on completeness, accuracy, and freshness. Monitor news and announcements such as mergers, acquisitions, leadership changes, and closures, and reflect them in the database. Regional Events Research Research and maintain a regional calendar of relevant industry events, including conferences, exhibitions, trade shows, summits, and networking forums. Evaluate each event's relevance using audience profile, attendee seniority, exhibitors, sponsors, past attendance, and cost. Recommend events to attend, sponsor, or exhibit at, with a short rationale for each. Collect speaker, exhibitor, and attendee information from events to feed new contacts into the database. Monitoring Regional Developments Continuously monitor developments in each region that could affect the business, including regulatory changes, government initiatives, economic conditions, major projects, tenders, and industry shifts. Set up news alerts and tracking sources for each region. Flag significant developments to relevant stakeholders promptly, with a short assessment of likely impact. Requirements A bachelor's degree in Business, Marketing, Economics, Information Systems, or a related field. 1-2 years of experience in database management, lead research, or market research. Advanced Excel skills, including lookups, pivot tables, data validation, conditional formatting, and Power Query. Hands-on CRM experience including imports, deduplication, and data maintenance. Proficiency with contact sourcing and enrichment tools. Experience with market research sources, industry reports, and government and trade publications. Experience with a reporting or BI tool is a plus. Exceptional attention to detail and a disciplined approach to data consistency. Strong research skills and the ability to judge whether a source is reliable. Strong organization and the ability to manage recurring tasks across several regions. Awareness of data privacy regulations such as GDPR and local data protection laws. Professional fluency in English.

Location: Houston, United States EnerMech provides integrated solutions for complex energy projects worldwide, combining best-in-class equipment and cutting-edge technology that supports the entire asset life-cycle, along with decades of unrivaled expertise. Every move we make is intentional, ensuring energy infrastructure runs smoothly and efficiently. Guided by our values and foundational principles we drive positive impact, delivering seamless, transformative solutions that get it right first time. At EnerMech, our vision is clear and ambitious: to be the leader in specialist technical solutions across all markets, sectors, and regions we engage with. We are committed to optimizing performance, boosting reliability, and enhancing efficiency. Our mission is simple: to work in partnership with our customers to safely provide specialist technical solutions for energy and infrastructure assets globally. Role Overview The Global QHSSE Lead Auditor provides independent, risk-based audit and assurance across EnerMech’s global operations, projects, functions and management system. Reporting to the Global Head of QHSSE Systems & Assurance, the role leads and conducts enterprise, cross-regional and higher-risk assurance activities to determine whether QHSSE controls are appropriately designed, implemented in practice and effective in managing material risk. The role is expected to go beyond checklist auditing and procedural compliance. The Global QHSSE Lead Auditor will examine work as performed, test critical controls, assess management-system effectiveness, identify systemic weaknesses and weak signals, and produce clear, evidence-based findings that enable accountable leaders to improve. The role also strengthens audit capability across the global QHSSE function by establishing high standards for audit planning, evidence, interviewing, finding quality, corrective-action verification and auditor competence. Independence, professional judgment and the ability to constructively challenge senior leaders are fundamental to the position. Qualifications and Experience Recognized QHSE, Quality, engineering, risk, auditing or management-systems qualification appropriate to the role. Minimum 8 years of relevant QHSE, Quality, operational-risk, management-systems or assurance experience within complex or higher-risk industries. Minimum 5 years of practical audit and assurance experience, including leading audits or multi-discipline assurance activities. Demonstrated practical knowledge of ISO 9001, ISO 14001 and ISO 45001. Recognized Lead Auditor qualification in at least one relevant ISO management-system standard, with strong working knowledge across the integrated standards. Demonstrated ability to plan and execute risk-based audits, gather evidence, interview personnel, evaluate control effectiveness and write high-quality findings. Experience evaluating corrective actions, root causes and effectiveness of implemented improvements. Strong written communication and report-writing capability. Ability to constructively challenge operational and senior leaders while maintaining professional independence. Ability to work effectively across cultures, jurisdictions and business environments. Preferred Lead Auditor qualification across ISO 9001, ISO 14001 and/or ISO 45001. Degree or higher professional qualification in QHSE, Quality, Engineering, Environmental Science, Risk Management or related discipline. Chartered or equivalent professional QHSE or Quality membership. Formal investigation, root-cause analysis, Learning Team or critical-control verification training. Experience in energy, oil and gas, industrial services, offshore or comparable high-hazard industries. Experience conducting cross-regional, enterprise-level, supplier or project assurance. Experience supporting certification-body, client or regulatory audits. Strong data-analysis capability using QHSSE systems of record and assurance information. Requirements Ability and willingness to travel approximately 40–60% of the time, including significant international travel. Travel to EnerMech regions, projects, workshops, client locations, remote sites and operational facilities as assurance priorities require. Ability and willingness to travel offshore when required, subject to appropriate medical, competency and training requirements. Ability to work in industrial environments and comply with applicable site-access, PPE and operational requirements. Ability to support significant assurance, certification, event-related or executive review activities outside normal working hours when necessary. Ability to conduct assurance across different cultures, languages, jurisdictions and regulatory environments, using appropriate interpreter or specialist support where necessary. Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Poland; Romania; Serbia; Slovenia; Lithuania; Latvia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Staff Data Scientist / Machine Learning Engineer to join our dynamic team on a full-time basis. Responsibilities: - Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods. - Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality. - Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies. - Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data. - Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required. - Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy. - Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources. - Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery. - Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards. - Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability. - Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools. - Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization. Requirements 5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes. Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics. Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery. GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises. Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system. Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems). Strongly Preferred: E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses. Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable. Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems. Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work. Nice-to-have: Terraform, CI/CD pipeline design, Docker containerization for ML workloads. Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation. Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).

Location: United Kingdom We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. This is a fully remote role in the UK ,supporting our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: Aberdeen, United Kingdom We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role and Responsibilities An exciting new permanent opportunity has opened up within our Cranes and Lifting department for a Crane Operator Mechanic. The role will be to work on a 2/3 rotation based in the North Sea, on a fixed platform. You will be tasked with carrying out first line maintenance up to and including 6 monthly Planned Maintenance Routines and ensuring Crane integrity is maintained in accordance with client's maintenance standards. Other main duties and responsibilities will include; Supervise mechanical work scopes as directed by onshore engineering Record crane availability in line with client performance standards Complete daily log, trip assessment reports and crane log books Update crane data into client maintenance management system Operate crane for installation and vessel lifts within crane design, consideration to weather and sea states in line with relevant lift plans and risk assessments The Requirements To be successful for the position it is essential you hold a Stage III Offshore Crane Operator Certificate and subsequent Stage III assessments. You will also hold a recognised apprenticeship or maintenance / mechanical qualification (e.g. NVQ Level 3 or equivalent). Previous Offshore experience and valid offshore certificates are essential. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Ghent, Belgium D-ploy is an IT and Engineering Solutions company with operations across EMEA, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We deliver innovative IT services and solutions to industry-leading clients, focusing on reliability, efficiency, and long-term partnerships that enhance IT productivity and business value. We are currently looking for an Onsite Support Engineer to provide hands-on IT support in a dynamic client environment in Ghent, Belgium . Tasks and Responsibilities Provide first and second level onsite IT support for hardware, software, mobile devices, and peripherals Troubleshoot and resolve incidents and service requests Support user onboarding, equipment setup, and standard workplace technologies Document activities and resolutions in the ticketing system Work closely with internal IT teams and stakeholders Take ownership of issues and support changing priorities in a fast-paced environment Provide professional and customer-focused support to end users Contribute to continuous service improvement Requirements 2+ years of experience in IT Support, Desktop Support, or Onsite Support Strong troubleshooting skills in Windows environments and standard workplace technologies Experience with ticketing systems such as ServiceNow or similar Excellent communication and customer service skills Proactive, adaptable, and comfortable working in a dynamic environment Ability to work independently and take ownership of issues Genuine interest in developing within an onsite IT support role Fluent English required; Dutch, Flemish, or French is a strong advantage Flexibility to occasionally support outside standard working hours if needed Experience in regulated environments such as GxP is a plus Ability to provide a clean criminal record extract (not older than 3 months) Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Croatia; Czechia; Moldova; Lithuania; Albania; Costa Rica Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Estonia; Romania; Hungary; North Macedonia; Slovenia; Slovakia Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Poland; Serbia; Portugal; Spain; Latvia; Bulgaria Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Brazil; Mexico; Colombia; Argentina; Chile; Peru Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.