Вакансии

Location: Serbia; Poland; Bulgaria; North Macedonia; Armenia; Georgia Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium custom glass solutions for residential, commercial, and institutional projects. For more than 9 years, we have operated as a full-cycle company, managing every stage of the process—from design and manufacturing to sales, delivery, and installation. With production facilities in both the United States and Europe, we deliver high-quality solutions to customers across the U.S. As our business continues to grow, we are expanding our Supply Engineering team and are looking for an experienced Supply Engineering Team Lead to help scale our operations, optimize supply processes, and lead a high-performing team. The Role The Supply Engineering Team Lead will report directly to the Chief Technical Officer and lead a team of four Supply Engineers . Approximately 80% of the role focuses on team leadership, coordination, process improvement, and cross-functional collaboration, while 20% involves hands-on supply engineering activities to support the team during peak workload, employee absences, or complex projects. The successful candidate will play a key role in ensuring efficient procurement operations, developing internal processes, and maintaining strong relationships with suppliers across the United States, Europe, the Middle East, and Asia. Please note: previous professional experience working with the US market is required for this position. We are specifically looking for candidates with hands-on procurement/sourcing experience involving US-based suppliers and international markets. Responsibilities 1. Procurement operations Launch production by coordinating glass orders and ensuring the availability of required hardware and materials. Plan inventory levels and forecast procurement needs. Review technical drawings and specifications to prepare accurate material lists. Verify dimensions, finishes, and quality requirements before placing orders. Track engineering documentation and procurement changes throughout the project lifecycle. Ensure procurement documentation and component orders are completed before production and container arrivals. 2. Supplier management Source, evaluate, and develop relationships with suppliers across the United States, Europe, the Middle East, and Asia . Negotiate pricing, payment terms, and delivery schedules. Manage purchasing activities for production, warehouse, and installation operations. Monitor supplier performance and resolve quality, logistics, and delivery issues. Identify opportunities to improve procurement efficiency, supplier performance, and cost optimization. 3. Cross-functional collaboration Work closely with Sales, Project Managers, Engineers, Estimators, Warehouse, and Installation teams. Support engineering changes, material substitutions, and procurement planning. Provide procurement expertise, material recommendations, and pricing information for projects. Ensure purchased materials meet project specifications and technical documentation. 4. Team leadership Lead, mentor, and develop a team of four Supply Engineers. Assign tasks, prioritize workloads, and monitor project deadlines. Conduct regular one-on-one meetings and provide coaching and performance feedback. Review procurement documentation, material lists, and purchase orders prepared by the team. Support engineers with complex sourcing challenges and supplier escalations. Coordinate procurement activities with internal stakeholders across departments. Drive continuous improvement initiatives and optimize procurement workflows. Report progress, risks, and operational updates to the Chief Technical Officer. Requirements 3+ years of experience in procurement, sourcing, or supply chain within the glass, glazing systems, architectural hardware, or closely related industries. 3+ years of people management experience , including direct leadership of procurement, sourcing, or supply teams. Proven experience building or scaling a procurement/sourcing function from scratch, including processes, workflows, supplier management standards, reporting, KPIs, and team structure. Experience designing and implementing procurement processes, policies, and operating procedures across the full purchasing cycle. Strong experience working with international suppliers and markets , ideally across multiple regions such as Europe, the Middle East, Asia, and North America. Hands-on experience with sourcing and procurement of glass, glazing components, aluminum or steel systems, architectural hardware, fittings, accessories, or other closely related materials . Experience managing supplier relationships, negotiations, pricing, lead times, quality issues, and supply risks. Experience with international logistics, import/export, customs, and cross-border procurement. Ability to read and interpret technical drawings, specifications, and engineering documentation. Experience implementing or improving procurement tools, task management systems, reporting, and cross-functional workflows. Proficiency in Microsoft Office, Google Workspace, and PDF tools. Fluent English is a must. Fluent Russian will be a plus. Personal qualities Confident and proactive leader. Strong organizational and multitasking skills. Excellent communication and stakeholder management skills. Strong problem-solving and decision-making abilities. High level of ownership and accountability. Ability to work effectively in a fast-paced environment. Work Location Remote Monday–Friday. Working hours: 8:30 AM – 5:00 PM. Benefits Competitive salary based on experience. Paid Time Off: 5 paid vacation days during the first year. 15 paid vacation days annually starting from the second year. Paid Sick Leave: 5 days per year. Protected Time Off: 32 hours per year. Why Join Crystalia Glass Join a growing U.S.-based company with 9 years of experience delivering custom glass solutions for residential, commercial, and institutional projects. Take ownership of a key operational function and help shape procurement processes as the company continues to scale. Lead a talented Supply Engineering team and make a direct impact on efficiency, collaboration, and business growth. Work closely with executive leadership and have the opportunity to influence decisions and process improvements. Be part of a full-cycle company managing everything from design and manufacturing to sales, delivery, and installation. Work on complex, high-quality custom projects for customers across the United States. Collaborate with an international team and build relationships with suppliers across the U.S., Europe, the Middle East, and Asia. Grow professionally in a fast-paced environment where your expertise and ideas can make a real difference.

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France 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 Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments. We are looking for an experienced Security Architect to lead the security approval and data-protection readiness of the solution. You will act as the main technical security contact with the client’s CISO, data-protection, and country security teams , covering cloud security, AI/LLM risk, penetration testing, secure data handling, and formal architecture approvals. CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension COMMITMENT: Full-time LOCATIONS: Central and Eastern Europe, EU-authorized, REMOTE PROCESS: Initial qualification followed by technical and client interviews NOTES: Fluent English is required. Responsibilities Review the end-to-end security architecture across identity, access, secrets, networking, data handling, and logging. Ensure sensitive and personal data are handled securely and are not exposed through logs or operational tooling. Prepare and drive formal security architecture approval and new-technology review processes. Support security reviews covering AI / LLM usage, web search, and new technology components . Coordinate penetration testing and follow up on remediation of findings. Support the Data Protection Impact Assessment (DPIA) and AI model-risk review. Define and agree data-handling principles with the client CISO, data-protection, and country security teams. Review cloud and application security controls across Azure, Databricks, APIs, and supporting services. Support secure delivery across development, testing, production, and country rollout environments. Act as the primary security point of contact between engineering teams and client security stakeholders. Requirements Strong experience in security architecture and approval processes within large regulated organizations. Strong hands-on knowledge of Azure security , including Entra ID, Key Vault, private endpoints, and Microsoft Defender. Experience with penetration testing, vulnerability management, and OWASP practices. Knowledge of OWASP security risks for LLM / AI applications . Experience with code and dependency scanning using tools such as SonarQube, JFrog Xray, or similar. Strong understanding of GDPR, data protection, privacy, and secure handling of personal data . Experience working with CISO, security governance, privacy, and engineering teams. Ability to communicate security risks and controls clearly to both technical and non-technical stakeholders. Highly preferred: Experience in insurance, banking, or other highly regulated environments .

Location: Australia; New Zealand About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from startups and digital agencies to tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing agencies, we place you directly with a client, where you become an in-house member of their team and a valued contributor to their success. Job Summary We are looking for a high-performing Account Executive with proven SaaS industry experience to join a fast-growing technology company. In this role, you will own the full sales cycle, from qualifying opportunities and delivering product demonstrations to negotiating contracts and closing deals. The ideal candidate is a results-driven B2B SaaS sales professional who thrives in a fast-paced environment, consistently meets revenue targets, and knows how to turn qualified prospects into long-term customers. Previous SaaS sales experience is mandatory for this position. Key Responsibilities Manage the full B2B SaaS sales cycle, from discovery calls to closing deals. Conduct engaging product demonstrations and communicate the value of SaaS solutions. Build and maintain a strong pipeline of qualified sales opportunities. Identify customer pain points and deliver tailored, consultative sales pitches. Negotiate pricing, manage objections, and close new business. Consistently achieve or exceed monthly and quarterly sales quotas. Maintain accurate sales records, pipeline updates, and forecasts using CRM tools. Collaborate with SDRs, marketing, and customer success teams to drive revenue growth. Build strong relationships with key decision-makers and stakeholders. Requirements Mandatory: Proven experience as an Account Executive selling B2B SaaS products or software solutions. Minimum 2+ years of B2B sales experience, including hands-on SaaS sales experience. Demonstrated track record of meeting or exceeding sales targets. Experience managing the full sales cycle and closing deals independently. Strong understanding of SaaS business models, subscription pricing, and recurring revenue. Experience conducting discovery calls, product demos, and contract negotiations. Proficiency with CRM platforms such as HubSpot, Salesforce, or Pipedrive. Excellent English communication, presentation, and negotiation skills. Confidence engaging with senior decision-makers and C-level executives. Self-motivated, proactive, and comfortable working remotely. Benefits 💰 Competitive base salary with performance-based commission opportunities. 🌎 Fully remote position. 🚀 Opportunity to work with innovative, fast-growing SaaS businesses. 📈 Clear opportunities for career progression and professional development. 🎯 Performance-driven environment where top performers are rewarded. 🤝 Direct placement with a company as an integral member of its sales team.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from startups and digital agencies to tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing agencies, we place you directly with a client, where you become an in-house member of their team and a valued contributor to their success. Job Summary We’re looking for a driven, results-oriented Account Executive with proven SaaS sales experience to join a fast-growing company. In this role, you'll own the sales process, from engaging qualified prospects and conducting discovery calls to delivering product demonstrations, negotiating contracts, and closing deals. The ideal candidate is a confident communicator with a strong track record of meeting sales targets, managing pipelines, and closing B2B SaaS deals. Experience in high-volume calling environments is a strong advantage, but not a requirement. Key Responsibilities Manage the full sales cycle, from prospect engagement to deal closure. Conduct discovery calls to understand customer needs, challenges, and buying motivations. Deliver compelling SaaS product demonstrations and presentations. Build and maintain a healthy sales pipeline to consistently achieve revenue targets. Handle objections, negotiate pricing, and close deals effectively. Maintain accurate records of sales activities, opportunities, and forecasts in CRM systems. Collaborate with SDRs, marketing, and customer success teams to maximize conversion rates. Build strong relationships with prospects and key decision-makers. Consistently meet or exceed monthly and quarterly sales quotas. Requirements Must have previous experience selling SaaS products or solutions. Proven track record in a B2B Account Executive or closing-focused sales role. Demonstrated ability to manage the full sales cycle and consistently close deals. Strong discovery, objection-handling, negotiation, and closing skills. Experience using CRM platforms such as HubSpot, Salesforce, or similar. Excellent spoken and written English communication skills. Comfortable engaging with senior stakeholders and business decision-makers. Self-motivated, target-driven, and comfortable working independently in a remote environment. Nice to Have Experience working in high-volume outbound calling environments. Experience selling to UK, US, or other international markets. Familiarity with sales engagement tools such as Apollo, Outreach, or Salesloft. Experience working in fast-paced SaaS startups or scale-ups. Benefits 💰 Competitive compensation with performance-based commission opportunities. 🌎 Fully remote working environment. 🚀 Opportunity to work directly with a growing international SaaS company. 📈 Career progression and long-term professional growth. 🎯 Performance-driven culture where your results are recognized and rewarded. 🤝 Collaborative team environment with opportunities to learn from experienced sales professionals.

Location: Russia; Belarus; Georgia; Armenia; Kazakhstan; Moldova About the company The company is a games publisher that licenses free-to-play mobile and browser games from international studios and brings them to players in Russia and the CIS. It already has a live portfolio, partnerships with major regional platforms, a release and operations team, and a steady flow of new titles to evaluate. The company is looking for a Head of Publishing who will own publishing decisions and turn that flow of games into a profitable portfolio. About the role As Head of Publishing, you will decide which games the company takes on, build the economics behind every title, and make sure each game delivers a financial result. The role comes with real autonomy: leadership sets the goals, and you own the decisions and the plan to get there. Responsibilities Review a steady flow of games across genres and make fast, well-reasoned go / test / no-go decisions Build a financial model and P&L for every title: investment, payback period, revenue forecast Negotiate licensing deals with developers and take them all the way to signature Oversee user acquisition through the company's UA agency and partners, and make sure campaigns pay back Work with regional platforms and app stores on launches and commercial terms Set priorities for the release, operations and scouting teams; define processes and responsibilities Identify gaps in the team and plan the next hires Report regularly to the company's leadership: current financial position and the plan for the next 1, 3 and 6 months Requirements 3+ years in publishing of F2P mobile and/or browser games as a Publishing Producer, Producer, Product Lead, Publishing Manager or Head of Studio (management side), with ownership of results Hands-on experience building financial models and game P&Ls in Excel / Google Sheets, and the ability to explain and defend your assumptions Strong command of game metrics: retention, ARPU / ARPPU, LTV, ROAS, cohorts, payback Experience evaluating many games across different genres and making go / no-go decisions Track record of negotiating and closing deals with game developers Solid understanding of UA unit economics and experience working with UA teams or agencies Good knowledge of the Russian games market and what works for local players Experience managing people or cross-functional processes Working English for calls and correspondence with international partners Fluent Russian Based in Russia, or able to travel to Russia regularly Makes decisions quickly, takes ownership of them and comes to meetings with checked numbers Finds solutions when budgets are limited Nice to have Experience with regional platforms and stores: RuStore, VK Play, VK Games, Yandex Games, OK Games Experience publishing licensed games from Asian developers Experience at a publisher with a large and diverse portfolio Startup or small-team experience, wearing multiple hats Plays games personally Benefits Full ownership of publishing decisions without micromanagement Competitive fixed compensation plus a performance-based bonus Fully remote work A steady pipeline of new titles from international studios The opportunity to build the publishing function and team Fast decision-making: days, not months

Location: Lithuania; Estonia; Czechia; Moldova; Ukraine; Spain RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 5,000+ real estate agencies and attract 10+ million users per year across Europe. We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact. Role Overview We are looking for a Machine Learning Engineer to take end-to-end ownership of our geospatial data products. This is not a model-tuning role. You will design, build, and operate the full data lifecycle behind our real-estate insights — from orchestrating complex pipelines on Kubernetes to delivering high-performance geospatial visualizations with Mapbox. This is a builder role. You should be as comfortable debugging an Airflow DAG as you are computing spatial statistics or optimizing analytical queries. You’ll have full autonomy over a modern, high-performance stack: Orchestration & Operations: Airflow, Kubernetes, Docker Data Storage: Postgres (PostGIS) for spatial workloads; ClickHouse for large-scale analytics Programming: Production-grade Python Requirements Key Responsibilities End-to-End Pipelines: Design and deploy automated pipelines (ETL) using Airflow to ingest diverse datasets (Real Estate transactions, listings, geo-data). Geospatial Analytics: Compute advanced spatial metrics (e.g., pricing honeycombs, average prices per neighborhood) using PostGIS and Python. Infrastructure Management: Maintain and optimize the Kubernetes environment where your pipelines and models run. Visualization Engineering: Transform your analytical outputs into interactive map layers (Vector Tiles) that integrate seamlessly with Mapbox on our frontend. What We’re Looking For Truly Full-Stack (Data): You don’t believe data scientists should stop at notebooks. You own infrastructure, deployment, and reliability because that’s how real value is delivered. Strong Geospatial Intuition: You understand projections, polygons, spatial joins, and how to visualize density and patterns effectively. Engineering Mindset: You write clean, modular, maintainable Python code designed for production — not one-off scripts. Experience: 3+ years in a Data Science or Data Engineering role, with hands-on ownership of production systems. Infrastructure Proficiency: Solid experience with Docker and Kubernetes, including debugging and troubleshooting live environments. Database Expertise: Advanced SQL, especially with PostGIS or similar spatial extensions. Experience with ClickHouse is a strong plus. Orchestration Mastery: Deep hands-on experience with Airflow for building and maintaining reliable data pipelines. Fully remote role with flexible working hours. Close collaboration with leadership and go-to-market teams. International, ambitious, and collaborative team culture. Benefits Fully remote role with flexible working hours. Close collaboration with leadership and go-to-market teams. International, ambitious, and collaborative team culture.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms. This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming. You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges. A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. PROJECT: AI training focused on competitive data science, machine learning, and reproducible technical problem-solving. AI EXPERIENCE: Not required. Key Responsibilities Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios. Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions. Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches. Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities. Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness. Apply competitive data science techniques and mathematical reasoning to validate solutions. Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures. Refine task difficulty and evaluation methods based on observed coding-agent performance. Document task specifications, solution methodologies, technical reasoning, and verification steps. Review and improve task quality to ensure scientific and computational accuracy. Requirements Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics. Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued). Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking. Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving. Practical programming ability, particularly in Python. Ability to independently implement, test, debug, and verify data science solutions. Experience working with datasets, computational environments, and relevant machine learning libraries. Strong analytical reasoning and the ability to explain technical decisions. Ability to identify data leakage, implementation flaws, and methodological errors. Excellent written communication and technical documentation skills. Professional English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: California, United States Azra Games is recapturing the childhood thrill of storytelling with your entire toy box through modern AAA role-playing games. Led by veteran designer Mark Otero—the original director of Star Wars: Galaxy of Heroes, EA’s most successful mobile game of all time, with $1.5 billion in lifetime revenue—we’ve assembled an expert team with decades of experience building blockbuster games. Our debut release, UnGodly, will be Mark’s ninth RPG—and his best yet. We believe in harnessing technology, including generative AI, to transform how great games are made. With our upcoming game launch, The UnGodly, we are looking for a Social and Community Launch Coordinator This role is open to remote candidates in the US and Canada, with a hybrid option in Sacramento, CA. Please note that this is a contract-based role, with an anticipated project to last between three to 4 weeks, and may be extended based on needs. What You Will Do Monitor agreed gaming and social channels, such as Discord, Reddit, X, TikTok, YouTube, and Twitch, for UnGodly mentions, trends, and relevant conversations. Identify creators and communities that fit the game, and explain why each opportunity matters. Draft personalized outreach, useful replies, and timely memes or simple content using approved assets; publish or contact people within agreed approval guidelines. Keep a clear daily tracker of links, opportunities, outreach, responses, and results, with a brief update on what the team should act on. Surface player feedback and urgent issues to the team. Respect community rules and clearly represent your connection to Azra. What You Bring Active participation in gaming communities and a feel for their humor, etiquette, and interests. Strong writing, good judgment, reliable follow-through, and comfort keeping a simple spreadsheet. Examples of a channel, community, content, or outreach you have helped build. Personal projects count; a large following or degree is not required. Helpful extras: familiarity with RPGs, basic image or video editing, and thoughtful use of AI tools. Coding and building automated outreach systems are not required. Compensation The base hourly rate range for this role is $20 - $25 per hour, not benefits eligible.

Location: Utah | Remote Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties AI is becoming part of how BambooHR's platform works, from features we build to agents that connect through open protocols. We're hiring a Staff Application Security Engineer to help lead application security through that shift and beyond. You'll set the review bar and standards for agentic systems, and you'll architect the agents our security team uses to scale its work. It is a hands-on, organization-level role for someone who does well in ambiguity and gets results through knowledge, influence, and the help of their team. You will: Lead security reviews and threat models of AI features and agentic systems — including autonomous agents, MCP servers, and third-party integrations — and keep review playbooks and quality criteria current Set BambooHR's security standards for AI agents, covering identity and delegated authorization, tenant- and user-scoped data access, safe handling of tool output, tool supply chain, and human-approval requirements, and track adoption as threats evolve Own the design of agents the security team uses for finding validation, triage, review assistance, and remediation — building and shipping them with clear evaluation criteria, bounded permissions, and human approval gates for high-impact actions Help developers and security champions build and use agents safely through self-serve guidance and tooling, and advocate for the partner-team investment that work requires Work with engineering and product leadership to embed security requirements into the SDLC, including design-time and release-time gates for AI features, and make agent-assisted code review, finding validation, and fix suggestions a default part of every team's CI/CD pipeline with clear blocking criteria and a fast exception path Run security programs that span multiple teams and quarters — setting goals, milestones, and success metrics; maintaining a lightweight intake, prioritization, and retrospective cadence; coordinating dependencies across engineering, product, and operations; and reporting progress, risks, and tradeoffs to leadership Represent AppSec in architecture forums, harmonize security requirements to reduce duplicated effort across teams, act as a point of escalation, and coach leaders on security tradeoffs Partner with Legal, Privacy, and GRC on AI governance to close gaps between policy intent and technical implementation through guardrails and automation, including for emerging AI regulations Train and coach software engineers and engineering teams on secure design and threat modeling, with emphasis on authentication, authorization, multi-tenancy, and AI features Mentor fellow security engineers on technical direction and career growth, and close skill gaps on the security team through onboarding, training, and mentorship Participate in an on-call rotation as needed to support incident response and resolve escalated security issues What You Need to Get the Job Done Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience 8+ years of experience in security, including 5+ years of hands-on experience in application security Experience securing multi-tenant SaaS platforms, including tenant isolation Cloud and infrastructure security experience (e.g., AWS, Azure, GCP) Hands-on experience building AI agents or agentic workflows, with concrete examples of how you handled permissions, failures, and validation — production systems, internal tools, personal or open-source projects, and substantial prototypes all count Demonstrated ability to evaluate the security of AI and agentic systems, including prompt injection, tool and context poisoning, excessive agency, delegated authorization, data leakage, and supply-chain risk in models and tools; familiarity with the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, or comparable frameworks Ability to design evaluations for agentic workflows covering task success, false positives and negatives, adversarial cases, and regression checks Proven experience leading threat modeling (e.g., STRIDE, attack trees) and design reviews for complex applications and APIs Deep understanding of web application and API security, including authentication and authorization (OAuth 2.0 scopes and delegation, OpenID Connect, token audience and validation), session management, and access control models Strong software engineering skills in at least one language (e.g., Python, TypeScript, PHP), including testing and maintaining tools other people depend on A track record of influencing without authority: leading cross-team initiatives, building business cases, and explaining technical risk in business terms to engineering, product, legal, and leadership audiences Experience mentoring engineers, formally or informally Sound judgment in ambiguous situations, including the ability to explain a tradeoff, recommend a mitigation, and bring risk-acceptance decisions to the right owner What Will Make Us REALLY Love You Experience securing MCP servers and gateways Experience securing AI coding assistants or developer agent tooling at organizational scale, or integrating AI-driven security checks into CI/CD pipelines Familiarity with AI governance and SaaS compliance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, SOC 2, ISO 27001) Relevant security certifications (e.g., CSSLP, OSWE, GWAPT) Experience building or running security champions programs, such as recruiting and training champions or embedding security advocates in engineering teams What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you #LI-Remote About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11745 Executive & Business Administrative Support Virtual Assistant Independent Contractor – CPT-11745 Executive & Business Administrative Support Virtual Assistant/Business Support VA/Junior-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A business owner running two companies in talent acquisition, workforce development, employee screening, and compliance services needs an organized Business Support VA to handle front- and back-office administration. The VA will support daily operations across both businesses, including phone coverage, client communication, calendar management, invoicing and payment follow-up, recruiting administration, research, approved prospect outreach, data organization, and light social media scheduling (secondary). The VA will handle scheduling, pricing, and general service questions for the screening company using approved information. The VA will not access or discuss drug test results, background check results, I-9 documents, or any medical or donor information, and will route those inquiries to the owner. A signed NDA is required before any system access. The ideal candidate will bring strong administrative experience, excellent organization, professional phone and written communication skills, and the ability to manage multiple priorities across two related businesses The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Executive & Office Administration Manage calendars, appointments, scheduling requests, and routine reminders Monitor and organize business email inboxes For the first two weeks, draft email replies for the owner’s approval rather than sending on her behalf Maintain organized administrative records, task lists, and follow-up items Assist the owner with recurring office and executive support tasks Identify urgent matters and communicate priorities promptly Phone Coverage & Client Communication Answer the screening company’s phone line through RingCentral Schedule testing and screening appointments Provide approved pricing and service information Route results or case-specific questions to the owner Respond to routine client inquiries using approved information and procedures Follow up with prospective and existing clients on outstanding items Maintain accurate client and prospect records, organized separately for each business Billing & Recruiting Administration Prepare, send, and track invoices and payment follow-ups Post job openings and track applicants Send interview invites and confirmations (the VA does not conduct interviews) Update information in the company’s ATS and future CRM platforms Assist with basic administrative records as directed, excluding the restricted records above Research & Business Development Support Research and build a list of drug and alcohol testing collection sites in Georgia Run daily searches on SAM.gov and the Louisiana and Georgia state procurement portals Send a weekly summary of matching opportunities Send approved prospect outreach and follow-up emails from a tracker Systems & Marketing Administration (Secondary) Organize contact records, business documents, and administrative data Schedule social media posts using existing Canva templates and Claude-supported content frameworks Maintain recurring marketing posting schedules without assuming responsibility for overall marketing strategy Assist with process documentation and new administrative workflows as systems change Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Administrative, executive support, or business operations experience required Excellent spoken English and professional phone communication required Excellent written English and professional communication required Calendar, inbox, and client follow-up experience required Outlook / Microsoft Office proficiency required Signed NDA required before system access CRM, ATS, or comparable record management experience preferred RingCentral or business phone system experience preferred Invoicing or accounts receivable follow-up experience preferred Job posting or applicant tracking experience preferred Canva and basic social media scheduling experience preferred Government procurement or bid research experience a plus (Training Provided) Talent acquisition, HR, or compliance services experience a plus IDEAL CANDIDATE PROFILE Highly organized, proactive, and dependable Confident and professional on the phone with clients and callers Discreet with confidential information and clear on what must be routed to the owner Comfortable supporting a business owner managing multiple companies Strong attention to detail and accurate recordkeeping Able to manage multiple priorities without overlooking follow-ups Willing to learn new software and administrative procedures Resourceful and interested in growing with the business APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Microsoft Outlook / Office RingCentral – Client Phone System Zoho ATS – Existing System; Replacement Planned CRM Systems – Final Platforms TBD Invoicing Platform – Client System TBD SAM.gov and State Procurement Portals (Training Provided) Canva Claude – Client-Provided Content Frameworks Gusto – Familiarity a Plus Work Schedule Contracted Hours per Week: 30 hours/week (Potential to Increase to 40 Hours Based on Performance) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 10:00 AM–4:00 PM CT Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior Level Contracted Hours per Week: 30 hours/week (Potential to Increase to 40 Hours Based on Performance) Daily Working Time: 10:00 AM–4:00 PM CT Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A–B (Native or Near-Native English Accent Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: EMEA Remote Hello, I’m Fintan, Senior Director of Sales at Customer.io ! We're expanding our sales team in the UK & Ireland area and seeking motivated and successful Account Executives at the SMB level to join us! This role offers a unique opportunity to take your sales career to the next level, with potential for upward mobility. As an Account Executive, you’ll represent Customer.io to prospective customers and drive growth within key market segments. This is a full-cycle sales role (prospect, demo, close), where you'll be fielding both inbound and outbound demand. About Customer.io Over 10,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. We're expanding our sales team and looking for motivated internal candidates to move into an Associate Account Executive role. We are looking to expand this team in the United Kingdom or Ireland Region. This role is a great entry point into full-cycle sales, with a clear path for growth as you build your track record. As an Associate Account Executive, you'll represent Customer.io to a portfolio of startup customers and help them grow into their next stage. This is a full-cycle sales role (prospect, demo, close), where you'll be fielding both inbound and outbound demand. Responsibilities: Pipeline Development and Management : Build and manage a pipeline through self-sourced leads and SDR-supported leads to drive new customer acquisition within the startup segment.Own consistent outbound prospecting into startup accounts. Full-Cycle Sales Execution : Lead the entire sales process from prospecting and discovery through demo and closing, focusing on new business acquisition among startup accounts. Startup Program Growth : Conduct discovery calls to understand where a startup is in its growth journey including its business challenges and goals. Position Customer.io 's solutions to support that growth and deliver outcomes that matter to the business. Collaboration and Cross-Functional Feedback : Work closely with the SDR team for lead quality feedback and coordinate with Customer Success and Technical Support for a smooth hand-off post-sale. Performance Tracking and Reporting : Own and report on individual sales metrics, including outbound activity and conversion, pipeline status and progress towards targets, to support informed decision-making. Qualifications: Experience: 1+ years of experience in full-cycle B2B SaaS or MarTech sales, or a strong SDR/BDR background ready to move into a closing role Location: UK or Ireland only B2B SaaS or MarTech Experience : Exposure to new customer acquisition and closing deals within the B2B SaaS space, preferably MarTech including experience with outbound prospecting Sales Methodology : Familiarity with MEDDPICC or a similar framework that supports consultative selling and discovery to close, or eagerness to learn one Communication Skills : Excellent written and verbal communication skills, with a professional and engaging presence to build rapport with new prospects Problem Solving : Strong ability to identify a startup's business needs and position relevant solutions effectively to drive acquisition and business outcomes Deal Focus : Primarily handles startup accounts with shorter sales cycles and lower ACV deals Support : Works closely with our SDR team for lead generation, with a balance between inbound and self-sourced opportunities Responsibilities : Engage in high-volume prospecting, cold and warm outreach Manage the full sales cycle for deals typically around $20,000 ACV Drive growth within startup accounts, nurturing relationships and helping them scale to their next stage Compensation & Benefits We believe in transparency. We are offering a compensation package of $65,000 base + $65,000 variable for a total $130,000 OTE USD (or equivalent in local currency), subject to market rate adjustment. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute screening with Recruiter 30-minute video call with a Hiring Manager 30-minute Demo Call w/ the Hiring Team All internal candidates will still need to complete standard pre-employment steps for the new role, including background check and employment verification. Interested? Reach out to your manager and jobs@customer.io to express interest or ask any questions before applying. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Location: EMEA Remote Hello, I’m Fintan, Senior Director of Sales at Customer.io ! We're expanding our sales team in the UK & Ireland area and seeking motivated and successful Account Executives at the Mid-Market level to join us! This role offers a unique opportunity to take your sales career to the next level, with potential for upward mobility. As an Account Executive, you’ll represent Customer.io to prospective customers and drive growth within key market segments. This is a full-cycle sales role (prospect, demo, close), where you'll be fielding both inbound and outbound demand. About Customer.io Over 10,000 companies  from scrappy startups to global brands  use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Responsibilities: Pipeline Development and Management : Build and manage a pipeline through self-sourced leads and SDR-supported leads, alongside inbound opportunities, to drive new customer acquisition. Full-Cycle Sales Execution : Lead the entire sales process from prospecting and discovery through demo and closing, focusing on new business acquisition within targeted accounts. Customer Needs Analysis and Solution Alignment : Conduct discovery calls to understand customer business challenges and goals. Position Customer.io 's solutions to meet these needs effectively and connect them to clear customer business outcomes. Collaboration and Cross-Functional Feedback : Work closely with the SDR and BDR teams for lead quality feedback and collaborate with Customer Success and Technical Support for a smooth hand-off post-sale. Performance Tracking and Reporting : Own and report on individual sales metrics, including pipeline status and progress towards targets, to support informed decision-making. Qualifications: Experience: 3+ years of experience in full-cycle B2B SaaS or MarTech sales, handling mid-market accounts Location: We are currently hiring for positions based in the United Kingdom or Ireland only. B2B SaaS or MarTech Experience : Proven success in new customer acquisition and closing deals within the B2B SaaS space, preferably MarTech, including generating pipeline through outbound prospecting. Sales Methodology : Familiarity with MEDDPICC or a similar framework that supports consultative selling and discovery to close. Communication Skills : Excellent written and verbal communication skills, with a professional and engaging presence to build rapport with new prospects. Problem Solving : Strong ability to identify customer business needs and position relevant solutions effectively to drive acquisition and customer business impact. Deal Focus : Primarily handles mid-market accounts up to 500 employees Support : Works closely with our SDR and BDR teams for lead generation, with a balance between inbound, BDR sourced and self-sourced opportunities Responsibilities : Engage in high-volume prospecting, cold and warm outreach Manage the full sales cycle for deals typically under $20,000-75,000 ACV Drive growth within mid-sized clients, nurturing relationships and uncovering business needs Compensation & Benefits We believe in transparency. We are offering a compensation package of $95,000 base + $95,000 variable for a total $190,000 OTE USD (or equivalent in local currency), subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute video call with Recruiter 45-minute video call with Manager 30-minute video call with Bar Raiser 60-minute Case Study and Discovery Call w/ the Hiring Team All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io. Join us! Check out our careers page for more information about why you should come work with us! We are passionate about our core values of Empathy, Transparency, Responsibility, and Awkwardness and are looking for new coworkers to share and build that passion!