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Location: Venezuela, Bolivarian Republic of; Colombia; Ecuador; Argentina; Brazil; Philippines About us Paired is a global staffing and recruiting agency that specializes in pairing remote work with top-tier talent! We are dedicated to connecting talented individuals with remarkable companies in need of their skills. Our goal is to create fulfilling job opportunities for professionals around the world . About the Role We’re hiring an Organic Content Strategist for a US DTC gifting brand to work remotely with their team. The brand makes sentimental, gift-led products built around personal milestones like births and weddings. You’ll own their organic presence on Instagram and TikTok, from strategy to execution. That means planning the content calendar, creating and editing posts, and turning creator content into social posts that carry real emotion rather than reading like product marketing. You’ll work in a small team directly with leadership and an outsourced agency layer. You’ll also partner closely with the brand’s Affiliate & Partnerships Manager, turning the creator content they bring in into organic posts. Job Responsibilities Day to Day Own the brand’s organic presence across Instagram and TikTok. Create and edit static and video content using company assets, creator content and product samples. Source creator-generated content and shape it into engaging organic posts. Do light video editing and adapt content for cross-platform use. Manage the posting cadence and the organic content calendar. Strategy & Collaboration Develop and execute a creative content strategy aligned with brand goals and trends. Monitor trends, especially US trends, and translate them into on-brand social content. Work with the affiliate/outreach role so creator content lines up with the social strategy. Requirements Proven experience both planning and executing organic social media strategy, not one or the other. Experience creating content specifically for Instagram and TikTok. Light video editing ability. Comfortable using AI tools, Canva or similar content tools. Creative and trend-savvy, with a strong visual eye. Strategic, but also hands-on and execution-oriented. Idea-driven, culturally aware and proactive. Cultural fluency with a US audience, since the role reads and reacts to US trends. Availability to work EST hours is preferred. Benefits $3,000+ USD per month. Full-time, 40 hours a week, as an international contractor. 100% remote work flexibility from anywhere.

Location: Poland; Romania; Cyprus; Serbia; Portugal; Malta Our client is an international IT solutions and technology integration company specializing in cloud infrastructure, networking, web performance, and cybersecurity solutions. The company works primarily with digital-native businesses across Europe, including clients in gaming, gambling, fintech, IT, and adjacent technology-driven industries. Its technology portfolio includes leading cloud and web security platforms and solutions. As the business continues to grow, the company is looking for an experienced Senior Sales Executive - Hunter to drive new business development across European markets. This is a pure hunter role for a senior sales professional who already has an active network of potential clients and knows how to turn relationships into complex, high-value B2B opportunities. You will focus on two core areas: Cloud Infrastructure and Web Security, working with digital-native companies that require scalable, high-performance, and secure technology infrastructure. The position is remote, and the candidate's location is flexible. What matters most is an active and relevant client network across European markets. Your future tasks: Drive new business acquisition across European markets Develop sales opportunities within digital-native industries, including gaming, gambling, fintech, and IT Leverage your existing professional network to identify and engage potential customers Proactively build your own pipeline rather than relying primarily on inbound leads Sell solutions across Cloud Infrastructure and Web Security Identify customer infrastructure, performance, scalability, and security needs and translate them into relevant technology solutions Build relationships with senior decision-makers and key stakeholders within target accounts Manage the complete B2B sales cycle from initial contact and qualification through proposal, negotiation, and closing Develop and manage complex opportunities with an average sales cycle of approximately 2-4 months Build a sustainable pipeline of high-value opportunities and take ownership of individual sales targets Focus on profitable business growth and understand the commercial performance of deals, including Gross Profit (GP) Develop long-term customer relationships and identify opportunities for recurring business and renewals Maintain ownership of your pipeline and sales activities with a high degree of independence Collaborate with internal technical and commercial teams to develop solutions that meet client requirements Requirements Proven senior-level experience in B2B technology sales and new business development Strong hunter sales background with demonstrated success proactively generating and closing new business An active and established client network across European markets - this is a key requirement for the role Existing relationships with decision-makers within digital-native companies, particularly in gaming, gambling, fintech, IT, or adjacent industries Proven ability to generate significant Gross Profit, ideally with a track record around $500K+ GP annually or a comparable level of sales performance Experience selling Cloud Infrastructure, Web Security, cloud services, cybersecurity, networking, or related technology solutions Strong understanding of cloud infrastructure and/or web security solutions Experience managing complex B2B sales cycles of 2+ months Proven ability to independently source opportunities, build a pipeline, negotiate, and close high-value deals Experience working with large commercial opportunities and senior-level decision-makers Commercial mindset with a strong understanding of Gross Profit rather than revenue alone Ability to build long-term client relationships and develop recurring business Strong negotiation and relationship-building skills Fluent English and proven experience working with European clients in English Self-starter mentality with the ability to manage your own pipeline and priorities without close supervision Comfortable working independently in a remote international environment Willingness to work under a B2B contract Will be an advantage: Direct sales experience with Google Cloud and/or Cloudflare solutions Existing client network specifically within the gaming or gambling industry Experience selling to fintech and other high-growth digital-native companies Experience with recurring revenue models, subscriptions, managed services, or other long-term technology contracts Strong understanding of cloud migration, infrastructure optimization, web performance, and cybersecurity Experience selling through technology partnerships or within an IT integrator environment Track record of closing high-value technology deals with long-term commercial potential Benefits Remote work format with flexibility regarding your location Opportunity to develop business across multiple European markets High level of autonomy and ownership over your client portfolio and sales pipeline Opportunity to work with leading technologies in cloud infrastructure and web security Exposure to fast-growing digital-native industries, including gaming, gambling, fintech, and IT Opportunity to leverage your existing network while building long-term relationships with high-value clients Strong focus on recurring business, allowing successful client relationships to generate value over multiple years Opportunity to work on complex, high-value technology deals with international clients Direct impact on the company's growth and expansion across European markets Entrepreneurial environment designed for an experienced sales professional who prefers independence, ownership, and measurable commercial results

Location: United States; Canada; United Kingdom; Australia; New Zealand 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 a Chemistry and Computational Research Specialistwith doctoral-level expertise to contribute to projects focused on training and benchmarking next-generation AI systems. You will design and evaluate chemistry problems, validate scientific reasoning, analyze experimental and computational data, and assess AI-generated research outputs for accuracy and reproducibility. Depending on your specialization, you may work with reaction mechanisms, synthesis planning, spectroscopy, molecular simulations, electronic structure calculations, or cheminformatics. The ideal candidate combines deep chemistry knowledge with hands-on laboratory or computational research experience, strong quantitative reasoning, and the ability to communicate complex scientific findings clearly. Prior AI experience is not required. SENIORITY: PhD-Level Research Specialist LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique chemistry problems, computational workflows, and scientific reasoning chains for AI benchmarking initiatives. Assess chemical reasoning involving reaction mechanisms, synthesis planning, retrosynthesis, spectroscopy, and molecular modeling. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy and reproducibility. Analyze chemical, spectroscopic, experimental, and simulation data to identify errors, limitations, and opportunities for improvement. Apply domain expertise to guide the development and validation of chemistry-focused AI models and scientific tools. Review AI-generated scientific outputs for correctness, completeness, methodological soundness, and consistency with established chemical principles. Document research methods, findings, limitations, and best practices to support reproducibility and knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Organic synthesis and reaction mechanisms Inorganic and organometallic chemistry Physical and theoretical chemistry Analytical chemistry and spectroscopy Computational chemistry and molecular dynamics Cheminformatics and drug discovery Materials science and polymer chemistry Requirements PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related field. Hands-on research experience in a laboratory setting for experimental chemistry specializations, or extensive simulation-based research experience for computational specializations. Deep expertise in at least one of the listed chemistry or computational research areas. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software used in your specialization. Familiarity with applicable tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit. Excellent quantitative, analytical, and scientific reasoning skills. Strong written and verbal communication skills, including the ability to document and explain technical concepts. Demonstrated ability to solve complex chemistry problems rigorously and evaluate scientific results critically.

Location: United States; Canada; United Kingdom; Australia; New Zealand 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 a Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience to support projects focused on training and benchmarking next-generation AI systems. You will design, evaluate, and improve biological data analysis workflows, validate computational methods, and assess AI-generated scientific outputs for accuracy and reproducibility. Working across areas such as genomics, transcriptomics, proteomics, computational biology, and biostatistics, you will apply rigorous scientific reasoning to real biological datasets and communicate findings clearly to technical and scientific collaborators. Prior AI experience is not required; deep domain expertise and hands-on computational research skills are the priority. SENIORITY: PhD-Level Research Specialist / Experienced Researcher LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility. Assess and optimize pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures. Validate computational approaches and provide actionable recommendations to improve scientific reliability. Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools. Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer. Communicate complex scientific concepts clearly to both technical and non-technical stakeholders. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Genomics and next-generation sequencing (NGS) analysis Transcriptomics and single-cell analysis Proteomics and structural biology Molecular and cell biology Systems biology and biological network analysis Drug discovery and computational pharmacology Biostatistics and machine learning applied to biology Requirements PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience. Professional written and spoken English proficiency at C1 level or higher. Deep expertise in at least one relevant biological or computational research area. Hands-on experience analyzing real biological datasets. Proficiency in Python and/or R for scientific analysis. Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization. Strong statistical, quantitative, analytical, and scientific reasoning skills. Excellent written and verbal communication skills, including the ability to explain technical methods and document results. Demonstrated ability to solve complex biological or computational problems rigorously.

Location: Netherlands; Germany; Sweden; Switzerland; New Zealand; Spain 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 experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: United States; Saudi Arabia; Canada; United Kingdom; Australia; Ireland 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 experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: South Africa; Jamaica; Ethiopia; Pakistan; Philippines; Colombia 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 and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Job Type: Part-time (24 hours/week) Location: Remote Working Hours: Eastern Time (US/Canada) About the Company Our client is an innovative AI solutions company helping municipalities and government organizations modernize their operations through intelligent technology. Their solutions include AI-powered citizen engagement chatbots, internal automation tools, and permit validation systems designed to improve public service delivery and operational efficiency. As the company expands across the US and Canadian markets, they're looking for an experienced Sales Development Representative (SDR) to drive new business opportunities and build relationships with public-sector decision-makers. Job Summary We are seeking a highly autonomous, results-driven Sales Development Representative (SDR) with proven experience selling to government organizations, municipalities, or public-sector institutions. In this part-time remote sales role (24 hours per week), you'll take ownership of outbound prospecting, lead generation, appointment setting, and closing sales opportunities across North America. This is an excellent opportunity for an experienced SDR or business development professional who understands public-sector sales cycles, can independently build a qualified pipeline, and is comfortable working in a growing AI technology company. Key Responsibilities Lead Generation & Outbound Prospecting Identify and prospect municipalities, government agencies, and public-sector organizations across the US and Canada. Independently research and engage key decision-makers through cold email, cold calling, LinkedIn, and other outbound channels. Develop targeted prospect lists and maintain a consistent pipeline of qualified opportunities. Identify potential use cases for AI-powered solutions within government organizations. Appointment Setting & Sales Closing Book qualified meetings and product demonstrations with relevant decision-makers. Conduct discovery conversations to understand organizational challenges and technology needs. Communicate the value of AI solutions to public-sector stakeholders. Manage sales opportunities from initial outreach through appointment setting and deal closing. Build relationships with prospects and navigate longer, consultative public-sector sales cycles. CRM & Pipeline Management Use Zoho CRM to manage leads, track activities, and monitor sales opportunities. Maintain accurate prospect information, meeting notes, and follow-up schedules. Independently manage pipeline progression and prioritize high-value opportunities. Track performance against lead generation, meetings booked, and deals closed. Requirements Must have proven sales experience within public-sector or governmental organizations, including municipalities, government agencies, or similar institutions. Demonstrated experience in outbound sales, business development, or SDR roles. Proven ability to independently generate leads, book qualified appointments, and close sales. Hands-on experience using Zoho CRM for pipeline management and sales tracking. Strong understanding of B2B or B2G (business-to-government) sales processes. Excellent spoken and written English communication skills. Confident engaging senior stakeholders and government decision-makers. Highly organized, self-motivated, and comfortable working independently. Availability to work 24 hours per week, aligned with the client's Eastern Time zone. Reliable laptop, stable internet connection, and professional remote working setup. Nice-to-Have Qualifications Experience selling AI, SaaS, or other technology solutions. Existing knowledge of the US or Canadian municipal and government markets. Familiarity with public-sector procurement processes and government sales cycles. Experience selling digital transformation or automation solutions. Previous experience working in a startup or growth-stage technology company. Benefits 💰 Competitive compensation 🌎 100% remote opportunity 🤖 Work with innovative AI technology 🚀 High-impact role 🎯 Autonomy and ownership

Location: Baku, Azerbaijan; Ganja, Azerbaijan; Sumqayit, Azerbaijan; Mingachevir, Azerbaijan; Khirdalan, Azerbaijan Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Kutaisi, Georgia; Batumi, Georgia; Rustavi, Georgia; Gori, Georgia; Poti, Georgia; Zugdidi, Georgia Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Gyumri, Armenia; Vanadzor, Armenia; Abovyan, Armenia; Kapan, Armenia; Armavir, Armenia Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI. As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations. You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins. What you’ll be doing: Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data; Placing 3D objects (poles, lines, conductors) to match real-world physical layouts; Aligning original 2D map data with 3D models; Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear). Requirements: Strong spatial reasoning and the ability to easily navigate 3D environments; English B1 (ability to read instructions, watch training videos, and communicate with teammates); High attention to detail, problem-solving skills, and a willingness to learn from feedback; PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred). Will be a plus: Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data; Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field; What we offer: Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST; Fully remote work; Supportive management with no bureaucracy; Competitive compensation in USD; Opportunities for long-term professional growth. Who are we? Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills. Visit our website: https://labelyourdata.com/ *We celebrate diversity and are proud to be an equal opportunity employer.

Location: Tbilisi, Georgia We are looking for an experienced and results-driven Head of Sales to lead and grow our sales operations in Tbilisi, Georgia. The ideal candidate will have a strong background in sales leadership, team management, and revenue generation, with the ability to develop effective sales strategies, drive performance, and achieve business targets. Experience in real estate or other target-driven industries, such as banking, automotive, premium retail, or hospitality, will be an advantage. Key Responsibilities Develop and implement sales strategies to achieve revenue targets and business objectives. Lead, manage, and motivate the sales team to consistently meet and exceed targets. Recruit, train, and develop sales professionals to build a high-performing team. Monitor sales performance, conversion rates, and key performance indicators (KPIs). Establish and maintain effective sales processes, pipelines, and reporting systems. Identify new business opportunities and implement strategies to increase market share. Oversee lead management, follow-ups, client relationships, and deal closures. Analyse market trends, competitor activities, and customer requirements to improve sales performance. Prepare regular sales reports and provide performance updates to senior management. Ensure accountability, productivity, and continuous improvement across the sales team. Requirements Proven experience in a senior sales leadership role, preferably as a Head of Sales, Sales Director, or Sales Team Leader. Strong track record of achieving sales targets and driving revenue growth. Previous experience managing, motivating, and developing sales teams. Experience in real estate, banking, automotive, premium retail, hospitality, or other target-driven industries is preferred. Strong knowledge of sales strategies, lead conversion, pipeline management, and performance tracking. Excellent leadership, negotiation, communication, and decision-making skills. Ability to work in a fast-paced, target-oriented environment. Strong analytical skills and proficiency in sales reporting and CRM systems. Fluency in Russian is required. Knowledge of Georgian and English will be an advantage. Candidates must be willing to work on-site in Tbilisi, Georgia. Benefits Opportunity to lead and develop a sales team in a growing business. Competitive compensation package, based on experience. Performance-based incentives linked to sales results. Professional growth and career development opportunities. A dynamic and results-oriented working environment.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA | New York City, NY 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 As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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: $285,000 — $350,000 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: Vancouver, BC Position Title: Senior Concept Artist / 2D Artist Studio/Department: Ravenwake Games/Live Development Employee Type: Full Time, Regular Location : Vancouver, BC/ Remote Salary Range: $95,000 - $115,000 CAD Ravenwake Games is the newest studio within Enad Global 7, a global leader in video game development and publishing. Backed by iconic franchises such as EverQuest®, PlanetSide®, DC Universe™ Online, Dungeons & Dragons Online®, The Lord of the Rings Online™, Magic: The Gathering Online, and MechWarrior®, we draw on a legacy of genre‑defining experiences. We’re committed to delivering entertainment that inspires, engages, and unites players around the world. At Ravenwake Games, our mission is to craft immersive worlds that bring players together, build vibrant communities, and deliver unforgettable gameplay at every turn. Job Summary Ravenwake Games is seeking a visionary Senior Concept Artist / 2D Artist to help define the next generation of visual content for our long-running, hit MMORPG, DC Universe Online. In this role, you will bridge the gap between classic comic book iconography and cutting-edge game development. You will collaborate closely with the Art Director, Lead Artists, and Design teams to craft iconic characters, vast environments, and stylized key art that honors the legacy of DC Comics while creating fresh, immersive experiences for our global player base. Responsibilities Visualize the DC Universe: Design production-ready character turnarounds, costume variations, weapon concepts, and environments that encompass everything from the gritty streets of Gotham City to the cosmic expanses of Oa. Define Style and Tone: Translate complex design briefs and legendary comic lore into inspiring, functional 2D concept art that aligns with the established visual identity of DCUO. Support the 3D Pipeline: Create detailed orthographic callouts, material guides, texture breakdowns, and lighting keys to provide clear, unambiguous direction for 3D character, environment, and VFX artists. Collaborate Cross-Functionally: Partner with Designers and Animators to ensure that concepts meet gameplay mechanics, technical specifications, and engine performance constraints. Mentor & Lead: Provide constructive feedback and artistic guidance to junior and mid-level artists on the team to foster creative growth and maintain visual quality across the board. Marketing & UI Support: Create high-end promotional illustrations, loading screens, and visual assets for community and marketing updates when needed. Requirements Experience: 5+ years of professional experience as a Concept Artist or 2D Artist in the video game industry, with at least one shipped AAA or high-profile live-service title. Comic Book Stylization: A deep understanding of anatomical proportions, dynamic posing, dramatic lighting, and graphic storytelling traditions inherent to superhero comic book art. Technical Mastery: Expert-level proficiency in industry-standard software, including Adobe Photoshop and Procreate. Familiarity with 3D block-out pipelines (e.g., Blender, ZBrush) to aid 2D composition is a significant plus. Adaptable Design Toolkit: Exceptional versatility across genres—ranging from hyper-tech sci-fi and supernatural magic to gritty urban environments and stylized creature design. Strong Communication: Excellent collaboration skills, with the ability to articulate artistic choices and incorporate feedback from both internal leadership and external IP stakeholders. Pluses DC Lore Expert: A passionate, deep-seated knowledge of DC Comics characters, storylines, and artistic eras. MMO Passion: Experience playing or developing live-service games, MMOs, or persistent online worlds. UI/UX Familiarity: Experience designing vector graphic elements or stylized iconography for game menus and interfaces. We invite you to get in the game with us and help us make exciting experiences! Be Aware of Fraudulent Recruiting Activities Ravenwake Games will never ask applicants for social insurance numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or through online messaging apps (WhatsApp, Hangouts). We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. **Ravenwake is an Equal Opportunity Employer.**

Location: Los Angeles, CA or Remote Workplace: onsite Role Description Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.  This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline. You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.  We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it. What You'll Own: Inbound Growth & Demand Own performance across the inbound marketing funnel, from acquisition through qualified opportunity. Understand how prospects discover, engage with, convert through, and progress across marketing channels. Identify gaps, friction, and growth opportunities throughout the buyer journey. Partner with the Director of Marketing to connect organic visibility to measurable business outcomes. Develop a holistic view of inbound performance across all three brands. Paid Acquisition & Performance Marketing Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels. Manage and optimize paid marketing budgets. Determine where investment should increase, decrease, or be tested based on performance. Develop audience, offer, channel, and campaign testing strategies. Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume. Manage paid media agencies, freelancers, and specialized partners. Campaign Activation & Distribution Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs. Develop distribution and amplification plans around major campaigns and content. Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies. Ensure campaigns have clear paths from awareness and engagement to conversion. Find opportunities to extend the reach, performance, and business value of existing content and creativity. Conversion Rate Optimization Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths. Partner with the Director of Marketing and creative resources on messaging and creative variations. Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices. Retargeting, Lifecycle & Lead Nurture Develop strategies for continuing to engage prospects after their initial interaction. Build retargeting audiences and programs across relevant channels. Develop lifecycle segmentation and nurture strategies. Partner with fractional Marketing Operations support on automation and technical implementation. Improve progression from initial engagement to qualified opportunity. AI-Native Marketing & Execution Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant. Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting. Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis. Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution. Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves. Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations. Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable. Growth Experimentation Maintain a prioritized growth experimentation roadmap. Move quickly from hypothesis to execution Scale what works and stop what doesn't. Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned. Performance Analytics & Attribution Connect marketing activities to measurable business outcomes. Understand performance across visitor → lead → qualified lead → opportunity → pipeline. Establish KPIs for campaigns and acquisition programs. Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI. Turn performance data into recommendations and actions, not simply dashboards. Help leadership understand what's working, what's not, why, and what Marketing should do next. Partnership With the Director of Marketing This is designed to be a close counterpart relationship between two distinct areas of marketing expertise. The Director of Marketing owns the market-facing strategy : overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV. The Growth Marketing Lead owns the performance engine : acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement. You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning. At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy. Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes. Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating. Fractional Marketing Operations Partnership The Growth Marketing Lead will work closely with a fractional/retained Marketing Operations resource who can support the technical infrastructure required to run and measure the growth engine. This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure. You don't need to personally administer every system. You do need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions. You will effectively serve as the business owner of marketing performance , with specialized Marketing Operations support helping i What Success Looks Like: Success will be measured through outcomes including: Marketing-sourced pipeline Qualified opportunities generated Inbound conversion rates Cost per qualified lead and opportunity Lead-to-opportunity conversion Paid acquisition efficiency Landing-page and website conversion Funnel velocity Growth experiment performance Improved visibility and confidence in marketing performance across the portfolio Experience We're Looking For: 3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology. Demonstrated experience owning multi-channel inbound acquisition programs. Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing. Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline. Experience with landing-page optimization, CRO, A/B testing, and structured experimentation. Experience building retargeting, nurture, and lifecycle programs. Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue. Experience working with CRM, marketing automation, attribution, analytics, and reporting systems. Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge. Strong analytical skills and the ability to translate data into clear recommendations and actions. Experience managing agencies, freelancers, vendors, and specialized external resources. Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources. Comfortable balancing strategic thinking with hands-on execution. Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful. How We Work: You have a startup mindset. You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner. We trust your expertise. There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results. You're collaborative and dynamic. You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own. You move fast. We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again. You take ownership. If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate. You're a team player. We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal. You're adaptable. Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace. You're AI-native. AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work. You're comfortable with cybersecurity. You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance. You care about outcomes more than activity. Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it. And we genuinely enjoy working together! Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here. What We Offer: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: Athens Workplace: Hybrid About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware. Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data. What you will do - Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior. - Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches. - Build data collection and evaluation pipelines using real-world and simulated robotics data. - Integrate models with robotics software, sensors, actuators, and control systems. - Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes. - Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment. What you will need - 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems. - Hands-on experience developing and evaluating ML-enabled systems on physical robots. - Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework. - A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area. - Experience with robotics data, simulation, experiment design, and evaluation on real hardware. - Practical understanding of sensors, actuators, control loops, latency, and hardware debugging. Nice to have - Vision-language-action models, multimodal foundation models, or generative world models. - Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms. - Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection. - C++, low-level control, tactile or force sensing, or real-time systems. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production. What you will do - Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods. - Improve how agents plan, use tools, manage execution, and recover from errors. - Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures. - Generate and curate training data, including agent trajectories and difficult cases from target workflows. - Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks. - Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method. - Experience building agent systems involving tool use, multi-step execution, and error recovery. - Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost. Nice to have - Reward modeling or verifier-based training. - Long-context training, memory systems, retrieval, or context compression. - Distributed training or high-performance LLM serving. - Experience delivering agents for complex enterprise, coding, or research workflows. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: New York - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. THE ROLE, IN A NUTSHELL: We’re looking for a highly motivated strategic partner/business development professional (VARs) who has strong market knowledge, a cloud and security network, and enjoys building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer. WHAT YOU'LL DO: Own and deliver partner-sourced and partner-influenced pipeline and revenue outcomes across a portfolio of assigned VARs and Regional System Integrators, with clear accountability for contribution to overall bookings Drive consistent pipeline creation through joint prospecting, partner-led opportunity identification, and co-selling motions with aligned field sales teams Improve partner attach rates by enabling partners to position Chainguard as a core component of their security, cloud-native, and modernization offerings Accelerate deal velocity and win rates by ensuring partners are effectively enabled, engaged early in the sales cycle, and aligned to customer use cases Identify, recruit, and prioritize high-performing partners that demonstrate sustained investment in Chainguard through sales focus, technical enablement, and go-to-market execution Execute joint business planning with partners, including pipeline targets, solution focus areas, enablement milestones, and marketing initiatives, and track progress through quarterly and annual business reviews Drive measurable progress in partner readiness metrics, including certifications, solution validation, demo capability, and delivery confidence Increase partner-driven demand generation impact through joint regional marketing campaigns, events, and field activities, with clear attribution to pipeline creation and opportunity progression Maintain strong forecast accuracy and pipeline hygiene by managing partner opportunities in SFDC and related tools, ensuring visibility into sourced, influenced, and co-sell deals Partner cross-functionally with sales, solution engineering, marketing, and partner operations to remove friction, improve execution efficiency, and scale partner success WHAT WE'RE LOOKING FOR: 5+ years of software channel manager experience required Experience working with and through VARs Successful sales background required having carried and overachieved quota Startup experience a plus Entrepreneurial self-starter, who knows how to structure and breakdown ambiguous problems into executable steps Strong verbal and written communication including high level of comfort with public speaking and excellent presentation skills Excellent interpersonal skills with the ability to build rapport with a variety of groups Team player and ability to work independently Strong technical aptitude Data, metric-driven Base Salary Range $145,000 — $170,000 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.