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Location: Abu Dhabi, United Arab Emirates 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 unrivaled 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, subsea, process, and valves – all designed to help you 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. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. The Role Cultivate cultural norms for improved, uniform HSE practice by driving accountability Demonstrate a personal commitment to HSE Golden Rules, Ethics Polices & Procedures & ESG Strategy Lead a high-performing, regional team, fostering a culture of collaboration, customer-centricity, and operational excellence Accountable for the P&L performance in the assigned contracts and implementing corrective measured or programs, as required Maintain strong client relationships, ensuring the delivery of customer services and solutions to a high quality across the Middle East geography Accountable for the development and successful delivery of the Lifting Solutions business line regarding safety, quality, financial and customer satisfaction across the assigned contracts Maintain a high quality of delivery to meet or exceed customer expectations To create new and develop existing client relationships at all levels across the region Prepare annual budget process, updated in BFT (Business Forecasting Tool) Preparation of business cases for CAPEX expenditure to develop the business Active participation in the tendering process that satisfy internal governance and commercial requirements. Maintain a high quality of delivery to meet or exceed customer expectations To create new and develop existing client relationships at all levels across the region Manage the demand patterns and constraints of direct personnel to help prioritize and support operations Responsibilities Investigate, report and analyze HSE incidents and statistical data to identify root cause and implement strategies to avoid reoccurrence Work closely alongside BD teams to ensure prospects are prioritized correctly Develop close working relationships with Clients’ management and ensure awareness of customer requirements and key issues Ensure understanding and adherence to customer contracting principles Liaise with clients to ensure appropriate service delivery and manage complaints in a timely manner Regular offshore/onshore site and client visits Compare revenue targets to realized / actual values to inform profit evaluation monthly Continuously monitor aged debt ensuring DSO is maintained within group target. Adhere to business Safety Culture and Strategy, including employee engagement Participate and support continuous improvement fostering innovation and positive behaviors Maintain “One Enermech” mentality through collaboration and cooperation avoiding silos Comply with safety, environment and quality regulations Ensure that all direct reports and team members have SMART objectives and KPIs Manage the integration of a new employee into the organization to ensure company processes and procedures are shared correctly. Requirements Strategic Vision & Alignment: this leader understands the bigger picture and what the organization is striving towards. Financial Acumen: this leader understands and analyzes financial information effectively, enabling informed decision-making to enhance the financial health and success of EnerMech. Commercial Acumen: this leaderunderstands and interprets business situations, makes sound decisions, and drives results that contribute to the overall success of EnerMech. Degree level education or equivalent experience Relevant management experience Demonstrable experience in the lifting sector Good understanding of commercial/cost awareness

Location: Ukraine; Poland; Croatia; Spain; Romania; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Software Engineer to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Our Tech Stack Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will - Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable. - Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns. - Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints. - Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited. - Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility. - Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use. - Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications. - Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term. - Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently. - Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback. We’re looking for you if you have - A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - At least 6 years of experience in software engineering using Java or a comparable object-oriented language. - At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud. - Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns. - Experience implementing agentic applications and tools applying evaluation approaches as part of the process - Experience designing RESTful APIs and event driven Kafka-based applications - Experience with mainstream relational databases, caching, replication, and search technologies. - Experience developing and evaluating agentic applications. - Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies. - Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority. - Excellent written and verbal communication with engineers, managers, and product partners. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps Pre-screening with recruiter Technical Screening Technical Interview HR BP Interview Final client Interview

Location: Faisalabad, Pakistan Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviours which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Qualifications: Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English, Urdu Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: United Kingdom; France; Belgium The Role Intellect delivers a clinically governed mental health programme to enterprise clients in the mining and resources sector, supporting remote and expatriate workforces. This is not a standard EAP. Cases begin with acute risk assessment on remote sites and run through structured treatment, fitness-for-work assessment and return-to-work clearance, in direct coordination with the client's chaplaincy, medical and people teams. This role covers the client's United Kingdom operations and a West African project site where the working language is French. It is a combined clinical delivery and case management role: the postholder conducts the assessments, delivers the therapy, writes the reports and owns the case, rather than coordinating a provider network. That design reflects the absence of an established provider network in the West African market at launch, and gives the client a single clinician who knows each case end to end. Full professional fluency in French and English is a non-negotiable requirement. Welfare calls, clinical assessment, case documentation and client communication in the West African market are conducted in French. Responsibilities Clinical assessment and delivery Conduct acute risk and welfare assessments for employees referred through the client's escalation pathway, in French or English as required. Deliver individual counselling and psychotherapy across the supported caseload, virtually. Conduct fitness-for-work assessments and produce the associated clinical documentation. Write risk assessments, session documentation, return-to-work memoranda and fitness-for-work reports to a standard that stands up to client and regulatory scrutiny, in the language the case requires. Delivery is capped so that case management availability is protected. Session load is agreed with the Head of Clinical Operations and reviewed as volume changes. Case management and coordination Own each case end to end, from referral through assessment, treatment, fitness-for-work and reintegration to closure. Align the initial support plan with the client's on-site teams, including session volume and cadence, and manage adjustments where clinically indicated. Coordinate with internal helpline, care excellence and network partnership teams on anything that cannot be delivered directly. Review the open case list for stalled items and follow up to keep cases moving. Clinical risk oversight and governance Confirm risk tiering against the client's framework and set review cadence and monitoring requirements. Make the clinical decisions the pathway requires, including disputed risk ratings and medical evaluation pathways where an employee declines therapy. Escalate to the Head of Clinical Operations where a case exceeds the scope of remote delivery or requires in-person intervention. Work within the differing regulatory, medical and emergency-escalation environments of each market, and flag where local pathways do not support the agreed protocol. Clinical protocols and client enablement Co-develop and maintain the clinical protocols, risk frameworks and SOPs the client's on-site teams operate to, including French-language versions. Design and deliver clinical training and framework guidance to client-side staff who are not clinicians, in French and English. Build out the in-market provider network alongside Network Partnerships, so that in-person and overflow capacity exists as the programme scales. Client relationship, insights and reporting Act as the named clinical contact for the client's chaplaincy, medical and health and safety leads in both markets, responding within the core window to queries that are frequently unscheduled and time-critical. Produce the case tracker and monthly clinical reporting, moving beyond utilisation to presenting issues, risk patterns, outcomes and service-level themes. Present clinical insight at client review meetings and translate it into recommendations the client's health and safety and people teams can act on. Requirements Full professional fluency in French and English, to the standard required for clinical assessment, therapy delivery and client-facing documentation in both languages. Registered clinical psychologist or qualified counsellor, with current registration in your jurisdiction and the right to practise remotely. Master's degree in clinical psychology, counselling or a related field. Minimum three years in clinical practice, including direct delivery of assessment and therapy to adults. Demonstrable experience managing acute risk, including suicidality, in a setting where you held the decision rather than advised on it. Experience of structured return-to-work, fitness-for-work or occupational mental health pathways. Able to work four hours a day, Monday to Friday, within the 08:00 to 17:00 UK and West Africa window. Desirable Experience working across multiple jurisdictions or with expatriate, rotational or multinational workforces. Understanding of remote industrial, mining, resources or energy operating environments. Additional language capability, particularly Mandarin. Experience contributing to clinical protocols, risk frameworks or SOPs. Prior case management or clinical account experience in a commercial setting.

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate. Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off. Get legal support for obtaining a local work/residence permit. Prioritize your health with compensation for wellness activities. Experience an international work environment with a passionate, motivated, and professional team. We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan. Invest in your growth using professional development compensation. Boost your energy and morale with complimentary snacks available in the office. Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.

Location: Kazakhstan; Yerevan, Armenia; Uzbekistan; Tbilisi, Georgia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Hybrid work model. Flexible working schedule. Interesting product. Learning opportunities. Career growth prospects.

Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Enjoy 5 health days to focus on your well-being. Take advantage of 25 paid calendar vacation days to explore, relax, and unwind. Get a $30 net per month sports compensation to stay active and healthy. Benefit from top-notch medical insurance for peace of mind. Indulge in a variety of snacks available in the office. Join us for exciting corporate events that foster team spirit and fun!

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a CG Artist / Creative Retoucher to join our Design Department . Role overview As a CG Artist / Creative Retoucher, you’ll create high-impact visuals for marketing campaigns, banners, and promotional materials. You’ll combine photography, 3D renders, effects, and other elements into polished, cohesive compositions, bringing creative concepts to life through advanced retouching, color grading, and visual storytelling. You’ll collaborate with designers, 3D, and motion teams to create engaging visuals and adapt them for different formats and platforms. Responsibilities Visual Creation: Create high-impact promotional visuals for marketing campaigns, banners, and other creative materials using advanced photo manipulation and artistic retouching. Key Visuals: Develop strong key visuals that communicate campaign concepts and capture attention across different marketing channels. Composition: Build complex, cohesive compositions by combining photography, 3D renders, effects, and other visual elements. Artistic Retouching: Enhance visuals through lighting adjustments, color grading, atmosphere, effects, and other advanced retouching techniques. 3D Integration: Refine 3D renders and seamlessly integrate them into promotional creatives. Concept Development: Bring creative ideas to life based on briefs, references, and abstract concepts. Cross-Functional Collaboration: Work closely with designers, 3D artists, and motion teams to develop and deliver strong visual concepts. Creative Adaptation: Adapt visuals for different formats, platforms, and marketing requirements while maintaining visual consistency. Visual Quality: Maintain a high level of detail, artistic quality, style, and visual storytelling across all deliverables. Requirements Experience: 2+ years of experience in creative retouching, CG art, promo design, or a similar role. Portfolio: Strong portfolio demonstrating promotional creatives, key visuals, and high-quality retouching. Technical Skills: Advanced proficiency in Adobe Photoshop and strong practical experience with compositing and photo manipulation. Visual Skills: Strong understanding of composition, color, lighting, and visual storytelling. Creative Approach: Ability to create atmospheric, engaging, and commercially effective visuals based on briefs and creative concepts. 3D & Compositing: Experience working with 3D renders and integrating them seamlessly into complex compositions. Attention to Detail: Strong attention to detail and the ability to refine visuals to a high-end, polished standard. Language Skills: Fluency in Russian. Nice to have: Performance Marketing: Experience working with performance marketing creatives and an understanding of how visuals contribute to campaign performance. AI Tools: Hands-on experience with AI image-generation tools such as Midjourney, Stable Diffusion, or similar. 3D Software: Basic knowledge of 3D software such as Blender or Cinema 4D. Marketing Awareness: Understanding of marketing creatives, visual trends, and user attention patterns. Benefits Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate. Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off. Get legal support for obtaining a local work/residence permit. Prioritize your health with compensation for wellness activities. Experience an international work environment with a passionate, motivated, and professional team. We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan. Invest in your growth using professional development compensation. Boost your energy and morale with complimentary snacks available in the office. Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is seeking a Head of Solutions Engineering to turn customer operational needs into feasible, commercially compelling robotics solutions. Based in Boston, you will partner with the Commercial, Product, Engineering and Deployment teams to lead technical discovery, define customer requirements and build a clear path from initial evaluation to scaled deployment. Initially, you will be the core individual contributor: personally visiting customer sites, designing solutions, developing technical proposals and creating the pre-sales material the Commercial team needs. As demand grows, you will establish and lead the Solutions Engineering function across the UK/EU, US and MENA, hiring and developing regional engineers while retaining direct involvement in strategic opportunities.   WHAT YOU'LL DO - Customer discovery and requirements: - Lead customer site visits and operational assessments to understand workflows, volumes, layouts, materials, shift patterns and constraints; identify repeatable, high-value use cases for humanoid robotics. - Align customer Operations, Engineering, IT, Safety, Procurement and executive stakeholders on the problem to solve and measurable success criteria, including throughput, availability, accuracy and human intervention. - Build credible business cases and fleet-sizing models covering utilisation, labour assumptions, total cost of ownership, payback and sensitivity to performance and deployment ramp-up. - Solution design and Product partnership: - Define solution concepts, workflows, layouts, robot configurations, infrastructure and interfaces with customer systems such as WMS, MES, ERP and existing automation. - Work with Product and Engineering to validate feasibility, distinguish demonstrated capabilities from development requirements, and agree capability gaps, owners, validation plans and realistic timelines. - Translate customer demand into prioritised Product requirements, balancing commercial value, engineering effort and the potential to reuse capabilities across customers. - Identify safety, cybersecurity and deployment compliance requirements, coordinating with the relevant specialists and documenting the actions needed for customer approval. - Technical pre-sales and commercial enablement: - Own the technical content of proposals, solution specifications, statements of work, RFI/RFP responses and customer technical due diligence, working with Commercial and Legal on commitments. - Provide technical cost and resource estimates to support pricing, deployment planning and commercial risk assessment. - Create and maintain the full pre-sales technical library: capability and performance evidence, use-case descriptions, technical presentations, reference architectures, layouts, integration guides, FAQs, demonstration assets, business-case models and requirements/SOW templates. - Train Commercial colleagues and relevant partners to qualify use cases, gather the right site data and communicate approved technical capabilities consistently. - Use operational modelling and simulation to assess suitability and deployment economics, including Humanoid AnalitIQ where appropriate. - Validation, acceptance and deployment handover: - Define the technical scope of demonstrations, proofs of concept and pilots, including baseline measurements, test conditions, resources, milestones, pass/fail criteria and the evidence required for acceptance. - Work with Commercial to connect each evaluation to a measurable long-term business case and a credible path to larger fleet or multi-site deployment. - Coordinate technical input to trials with Product, Engineering and Deployment; evaluate results, resolve gaps and translate learning into revised requirements and reusable material. - Build and lead the global function: - Define the Solutions Engineering operating model, ownership, technical review process and engagement with regional sales teams, Product, Engineering and Deployment. - Develop a phased hiring and coverage plan across the UK/EU, US and MENA, aligned to pipeline value, opportunity complexity, travel demand and delivery capacity. - Recruit, onboard, coach and lead regional Solutions Engineers, establishing consistent standards for discovery, solution design, technical documentation and commercial judgement. - Establish the tools, CRM discipline, knowledge base and reporting needed to track requirements, feasibility decisions, proposal progress, technical risks and team performance.   WHAT WE'RE LOOKING FOR - 8+ years of proven experience in Solutions Engineering, Solutions Architecture, Pre-Sales Engineering or a similar customer-facing technical role, ideally within robotics, industrial automation or complex hardware solutions. - Solid understanding of industrial workflows, automation systems and integrations with platforms such as WMS, MES and ERP. - Strong commercial acumen, with experience building business cases, ROI models, fleet-sizing estimates, TCO assessments and deployment cost models. - Ability to work cross-functionally with Commercial, Product, Engineering, Deployment and customer stakeholders to validate feasibility, manage technical risks and align on delivery commitments. - Direct experience with humanoid robotics, autonomous mobile robots (AMRs), industrial robotics or AI-driven automation. - Familiarity with operational modelling, simulation tools and robotics deployment economics. - Experience scaling a Solutions Engineering or technical pre-sales function in a high-growth technology company. - Willingness to travel to customer sites and work closely with teams and customers across the UK/EU, US and MENA.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. Role Overview We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that make Backblaze B2 Cloud Storage a natural part of how AI workflows are constructed and deployed. This is a front-row seat to the AI ecosystem as it evolves, working directly with the latest AI startups, open source frameworks, and developer tools. This role is expected to actively use the latest AI coding agents and tools as part of everyday development work. The primary objective is to build and contribute production-quality open source integrations, new frameworks, and end-to-end example applications that demonstrate how B2 supports AI workflows. A practical understanding of AI workflows, agent-based systems, and data orchestration is required. This role demands continuous learning and hands-on testing of emerging AI frameworks and APIs as they mature, and is best suited for someone genuinely excited to work at the forefront of AI development. What You’ll Be Doing Use AI coding agents to build coding harnesses to accelerate the development, testing, and maintenance of public and internal applications, SDKs, notebooks, and reference implementations that demonstrate AI and cloud storage best practices. Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust. Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance. Contribute to open source projects through code contributions, issue triage, reviews, and ongoing maintenance. Ensure all open source assets meet high standards for testing, documentation, reproducibility, and developer usability. Maintain clean, well-structured GitHub repositories intended for external adoption and community contribution. Collaborate with Product and QA to ensure integrations reflect real customer AI workflows and Backblaze B2 usage patterns. Tools and Technologies Languages: Python, TypeScript, Go, JavaScript and other open source languages Backblaze B2 SDKs and REST APIs Open source AI frameworks and tooling AI coding agents, such as Claude Code, Antigravity and Codex Jupyter and Google Colab notebooks GitHub, pytest, CI pipelines What We’re Looking For Software engineer with experience contributing to open source projects in one or more widely used open source languages. Comfortable owning and maintaining public repositories with external users and contributors. Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems. Experience writing production-quality code with strong testing and documentation practices. Strong written communication skills with a focus on developer experience and adoption. Why Backblaze Build open source software used by developers worldwide. Work at the intersection of AI, data, and cloud storage. Collaborate with experienced engineering, product, and QA teams. Competitive compensation and benefits. Remote-first culture supporting work-life balance. At this point, we hope you are excited about the opportunity. Even if you do not meet every requirement, we encourage you to apply. Learning, development, and growth are important parts of our culture. We are eager to meet people who believe in our mission and can contribute to our team in different ways. We want employees to feel comfortable bringing their full selves to work and doing their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are central to those values. We are committed to fostering a workplace where employees experience a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socioeconomic status, ability, veteran status, or education. We believe a diverse workforce helps us better serve customers around the world and reinforces our commitment to doing the right thing. Backblaze is proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please review the Backblaze Employee Privacy Notice . #LATAM

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Warsaw, Poland Founding GTM Engineering Lead (GrowthBricks) Are you someone who likes to build GTM systems from the ground up? Have you built sales automations, signal-based workflows, account intelligence systems, or AI-powered GTM solutions yourself? We’re looking for a Founding GTM Engineering Lead to build GrowthBricks with us, turning real GTM problems into working systems and using what we learn to shape the product itself. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. JetMinds is a new JetBrains-backed venture focused on AI-native GTM tools, and GrowthBricks is one of its new projects, designed to give GTM teams and AI agents a shared business brain. It brings together business context that’s usually fragmented across CRMs, calls, documents, dashboards, and other tools, giving people and AI agents the context they need to make better decisions and execute effectively across the sales and marketing stack. What you’ll do You will own our early customer implementations and help the founding team shape the product around what actually works. Working directly with customers, you'll figure out their GTM operations, identify where agentic automations can help, and build solutions around those needs. Alongside the product and technical founders, you’ll use what you learn from these implementations to shape GrowthBricks itself. Day to day, you will: Work directly with customers to understand their GTM workflows, systems, data, and bottlenecks. Turn ambiguous business problems into working GTM systems. Help build signal pipelines, account intelligence systems, enrichment and qualification workflows, outbound and CRM automation, and agentic workflows using GrowthBricks. Work hands-on with tools such as CRMs, enrichment platforms, sales engagement tools, APIs, automation platforms, and AI agents. Connect GrowthBricks to customers’ existing GTM stack rather than rebuilding it. Identify patterns across customers and turn them into reusable product capabilities. Work closely with the product founder and engineering team to shape GrowthBricks, including building and shipping features yourself. What you’ll bring Clear communication across roles. You can work effectively with founders, sales and marketing teams, RevOps specialists, and engineers. Comfort with ambiguity. You can take an unclear business problem and work toward a concrete solution. Strong product instinct. You can recognize which customer problems should become part of the product. A practical mindset. You value working systems over unnecessary complexity. What you’ll need A strong, practical understanding of modern B2B GTM operations. Experience building sales automation, enrichment workflows, signal-based GTM systems, or similar infrastructure. Hands-on experience with modern GTM tooling such as Clay, TheirStack, or FullEnrich. Experience connecting multiple systems using APIs, webhooks, scripts, or custom integrations. Practical experience using LLMs or agents for GTM research, qualification, personalization, and automation. Experience implementing GTM systems across multiple teams or customers. The technical ability to build and modify product features and working solutions yourself, rather than just specifying what others should build. What success looks like In your first six months, you will have taken several customer problems from discovery to working production workflows. You will also have helped us understand where GrowthBricks creates the most value, identified patterns that repeat across customers, and turned those patterns into reusable product capabilities. Success means building systems that customers actually use, producing measurable GTM outcomes, and making the product materially better with every implementation. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace. If this sounds like a challenge you'd enjoy, we’d love to hear from you. Send us your CV or LinkedIn profile and, more importantly, show us something you’ve built: a GTM system, automation, agent, workflow, or customer implementation you’re particularly proud of. #LI-IM1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: European Union; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; Ukraine; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements. - Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment - Strong spoken and written English NICE TO HAVES - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

• От 3 лет коммерческой разработки ПО (без стажировок). • От 2 лет проектирования и архитектуры систем (design patterns, надёжность, масштабирование).

— Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement. — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django.

Location: Mexico Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client helps high-achieving men rebuild their lives from the inside out, marriage, family, identity, and purpose. They have an established content engine and a large existing audience across social platforms, with hundreds of long-form videos and a deep library of short-form content, client testimonials, VSLs, and organic content continually being produced and tested. They’re looking for a Meta Media Buyer who can turn that creative engine into predictable, scalable customer acquisition. About the Role Paid acquisition is a major growth channel for our client, and we need a dedicated owner of our Meta advertising. This is not a general digital marketing position, and it is not a role for someone who simply launches campaigns and checks Ads Manager once a day. You will own Meta campaign execution and optimization end to end: campaign structure, budgets, testing, creative performance, audiences, tracking, lead quality, and scaling. You’ll work closely with our organic and creative teams. When content breaks out organically, you should know how to test it as paid creative. When an ad works, you should understand why it works and be able to tell the creative team what we need more of. Ultimately, your job is not to generate cheap clicks or leads. Your job is to help us acquire qualified prospects and customers at economics that allow us to scale. Responsibilities 1. Meta Campaign Management Own day-to-day execution across Facebook and Instagram advertising through Meta Ads Manager. Build, launch, manage, and optimize campaigns across the customer acquisition funnel. Manage campaign structure, budgets, bidding, audiences, placements, optimization events, and spend allocation. Monitor account performance consistently and make informed adjustments rather than allowing declining campaigns to run unchecked. Maintain clean campaign structures and naming conventions so the account remains organized, understandable, and scalable. 2. Performance & Budget Optimization Own the numbers behind paid acquisition. Monitor and analyze the metrics that matter, including CPM, CTR, CPC, CPL, cost per booked call, CAC, conversion rates, lead quality, spend, and revenue performance. Understand where performance is breaking down. A rising CAC does not automatically mean the audience is the problem, and a low CPL does not automatically mean the campaign is successful. Follow the lead beyond Meta. Work with our sales team to understand whether campaigns are generating qualified applications, booked calls, show-ups, and customers — not simply form submissions. Identify where additional budget can be deployed profitably and where spend needs to be reduced or redirected. 3. Creative Testing & Analysis Develop and maintain a structured testing system for hooks, angles, messaging, formats, offers, CTAs, and creative concepts. Analyze creative performance and identify patterns across winning and losing ads. Be able to explain more than “this ad has the lowest CPL.” We want someone who can identify why an angle is resonating, which hooks are producing qualified prospects, what is losing effectiveness, and what should be created next. Give the creative team specific, actionable briefs and feedback based on performance data. Work closely with our Social Media Manager to identify organic winners that should be tested as paid creative, including reusing organic post IDs where appropriate to carry existing social proof. 4. Testing & Scaling Build a disciplined testing process rather than making random changes inside the ad account. Know how to determine whether a test has enough data to make a decision and distinguish meaningful performance changes from normal fluctuations. Identify winners, iterate on them, and scale them intelligently. Know when to increase spend, when to consolidate, when to introduce new creative, when to let a campaign stabilize, and when something genuinely needs intervention. Balance growth with efficiency. We don’t want someone afraid to spend money when the economics support scaling — or someone who increases budgets simply because Meta is reporting good numbers. 5. Tracking & Attribution Ensure Meta Pixel, Conversions API, conversion events, UTMs, landing-page tracking, and relevant CRM attribution are functioning correctly. Identify tracking discrepancies and work with the appropriate team members to resolve them. Understand the limitations of platform attribution and use available business data to develop a more complete picture of campaign performance. Paid acquisition doesn’t end when someone submits a lead form. You should be able to connect ad → lead → appointment → sales outcome → customer acquisition cost. 6. Reporting & Communication Own clear and consistent reporting on paid acquisition performance. Communicate what happened, why it happened, what was learned, and what you’re doing next. Report on spend, lead volume, CPL, qualified leads, booked calls, CAC, creative performance, testing results, and relevant funnel metrics. Flag meaningful performance changes quickly rather than waiting for someone else to notice them. Requirements You have experience working with U.S.-based DTC e-commerce businesses generating seven- to eight-figure annual revenues. 3+ years of hands-on experience managing Meta Ads (Facebook and Instagram). Strong proficiency with Meta Ads Manager. Demonstrated experience managing and scaling meaningful paid advertising budgets. Strong understanding of direct-response and performance marketing. Experience with lead-generation and conversion-focused campaigns. Strong understanding of campaign structure, audiences, bidding, budgeting, optimization, and scaling. Strong creative analysis and ad-testing skills. Ability to interpret advertising and funnel data and translate it into specific actions. Understanding of Meta Pixel, Conversions API, conversion events, UTMs, and attribution. Ability to evaluate performance beyond platform metrics and connect advertising results to downstream sales outcomes. Strong written and verbal communication skills. Strong organizational skills and attention to detail. Ability to work independently, take ownership, and proactively identify and solve performance problems. Nice to Have Experience with high-ticket coaching, education, personal development, mental health/fitness, or information-product businesses. Experience working with a setter/closer sales model and understanding what happens to paid leads after they enter a CRM. Experience with application, booked-call, VSL, or similar high-ticket acquisition funnels. Experience working with founder-led or personality-driven brands. Experience turning organic content into successful paid creative. Strong understanding of CRM attribution and the connection between ad-platform data and actual sales outcomes. What We’d Like to See From Candidates We’re much more interested in proof of work than media-buying buzzwords. Be prepared to show accounts or case studies you’ve personally managed and explain your role in the results. We want to understand the monthly Meta spend you’ve personally managed, the type of business and offer you advertised, your CPL/CAC or other relevant acquisition results, how you approached creative testing, what you successfully scaled, and an example of a campaign that stopped performing and how you diagnosed it. You should be able to explain your decision-making, not simply show us a screenshot of a successful Ads Manager dashboard. Out of Scope for This Role This is specifically a Meta Media Buyer position. You are not responsible for organic social media management, community management, email/newsletter marketing, or managing Google, YouTube, TikTok, or other paid advertising platforms. Our Social Media Manager owns organic social end to end and influences paid creative but does not run the ad accounts.

Location: Amsterdam Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: €110,000-€185,000 base salary + equity Location: - Netherlands, Amsterdam - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: £100,000-£165,000 base salary + equity Location: - UK, London - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.