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<p><h4>Company description</h4> <p>Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.</p> <p>Take the opportunity to become a Heartist® and let your heart guide you in this world where life beats faster.</p> <h4>Job description</h4> <p>To sort soiled guestroom linen as required and fill containers, label and make ready for pick-up.<br> To sort/count soiled linen (Food & Beverage) and fill in containers, label and make ready for pick-up.<br> Set aside misused linen for further investigation.<br> Report any articles found within the linen/chute area eg. glass, food, cutlery, needles.<br> Keep own working area constantly clean and tidy during day and end of shift.<br> Wear as advised mask, gloves for health and safety reasons.<br> Fold and pile clean towels, bathrobes for floor porters/housemen to pick up and deliver.<br> Set aside and report any damaged or marked linen.<br> Roll into linen room all containers with clean linen ready for distribution.<br> If and when required to wash towels, to observe all points handling chemicals, lifting towels as trained. If and when required to wear goggles/gloves/mask accordingly to the health and safety training.<br> Help out on other duties deemed necessary within linen/laundry area.<br> Report to supervisor any equipment malfunctioning, or anything which may be a health and safety hazard.<br> Attend any training courses given by housekeeping/human resources department.<br> To make sure all health and safety matters are observed.<br> Any other work deemed necessary by the head of department.</p> <h4>Qualifications</h4> <ul> <li>High school diploma, vocational training and/or 1 year work experience.</li> <li>Fluency in local language essential.</li> <li>Basic understanding of the English language desirable.</li> <li>Ability to lift/carry requirements up to 25 lbs.</li> <li>Previous experience in luxury hotel desirable.</li> </ul></p><p></p>

<p><h4>Company description</h4> <p>Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.</p> <p>Take the opportunity to become a Heartist® and let your heart guide you in this world where life beats faster.</p> <h4>Job description</h4> <p>To sort soiled guestroom linen as required and fill containers, label and make ready for pick-up.<br> To sort/count soiled linen (Food & Beverage) and fill in containers, label and make ready for pick-up.<br> Set aside misused linen for further investigation.<br> Report any articles found within the linen/chute area eg. glass, food, cutlery, needles.<br> Keep own working area constantly clean and tidy during day and end of shift.<br> Wear as advised mask, gloves for health and safety reasons.<br> Fold and pile clean towels, bathrobes for floor porters/housemen to pick up and deliver.<br> Set aside and report any damaged or marked linen.<br> Roll into linen room all containers with clean linen ready for distribution.<br> If and when required to wash towels, to observe all points handling chemicals, lifting towels as trained. If and when required to wear goggles/gloves/mask accordingly to the health and safety training.<br> Help out on other duties deemed necessary within linen/laundry area.<br> Report to supervisor any equipment malfunctioning, or anything which may be a health and safety hazard.<br> Attend any training courses given by housekeeping/human resources department.<br> To make sure all health and safety matters are observed.<br> Any other work deemed necessary by the head of department.</p> <h4>Qualifications</h4> <ul> <li>High school diploma, vocational training and/or 1 year work experience.</li> <li>Fluency in local language essential.</li> <li>Basic understanding of the English language desirable.</li> <li>Ability to lift/carry requirements up to 25 lbs.</li> <li>Previous experience in luxury hotel desirable.</li> </ul></p><p></p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br>Summary:<br>We are looking for a detail-oriented Reservation Agent to assist customers with their booking needs and queries. The Reservation Agent will be responsible for handling reservations, providing information about services and products, and ensuring customer satisfaction.<br><br>Job Responsibility:<br>- Assist customers in making reservations for flights, hotels, car rentals, and other services.<br>- Respond to customer inquiries via phone, email, or in person regarding reservations and services.<br>- Provide customers with information on policies, procedures, and available services.<br>- Process payments and handle billing inquiries.<br>- Resolve customer complaints and issues in a professional and timely manner.<br>- Maintain accurate records of reservations and customer interactions.<br><br>Candidate Requirements:<br>- Proven experience as a Reservation Agent or in a similar role.<br>- Excellent communication and customer service skills.<br>- Strong problem-solving abilities.<br>- Ability to work in a fast-paced environment and handle multiple tasks simultaneously.<br>- Knowledge of reservation systems and booking software is a plus.<br>- High school diploma or equivalent; additional certification in customer service is a plus.</p> </div>

<p>Soluvide is hiring two Sales Executives in Jordan to sell AI chatbots, AI agents, and business automations to Jordanian companies. The role is full-time and remote-first, based in Amman and covering the Kingdom, and pays a base salary plus uncapped commission. A minimum of two years' B2B sales experience is required.</p><p>Soluvide is a software company headquartered in Abu Dhabi, United Arab Emirates. We build AI chatbots, AI agents, and business automations for companies that need them to work in production systems that answer inbound leads, process documents and invoices, route enquiries, and keep a CRM current, in English and Arabic. Our clients are ordinary businesses with an operational problem, not technology companies shopping for tools. Engagements are scoped after a free consultation and quoted as a fixed fee, with a written proposal inside 24 hours. Proven patterns go live in 5 10 business days; fully custom systems take three to four weeks.</p><p>We are opening Jordan as a market and hiring two Sales Executives to do it. You will be among the first commercial hires on the ground, responsible for building a pipeline from a standing start: identifying companies with a problem worth solving, reaching the person who owns that problem, understanding how their operation actually runs, and bringing a scoped opportunity back to our engineering team. This is a consultative B2B sale. Your buyers are owners, general managers, and operations directors who will ask specific questions about what the system does, what happens when it fails, and who owns it afterwards. You will be trained on the product so you can answer those questions accurately rather than deflect them. The role reports to the Managing Director in Abu Dhabi and works closely with the engineering team throughout the sales cycle.</p><h2>Responsibilities</h2><ul><li>Build and manage a pipeline of clinics and hospitals, trading and distribution companies, IT service providers, and export-facing manufacturers in Amman and across the Kingdom.</li><li>Generate your own opportunities through outbound calls, WhatsApp, LinkedIn, email, industry events, and referrals.</li><li>Run discovery meetings that establish how the business handles enquiries and manual work today, what that costs, and who approves a change.</li><li>Demonstrate Soluvide's AI assistants and automations, and explain accurately what they do and where their limits are.</li><li>Prepare scoping briefs for the engineering team covering the client's process, the systems involved, and the outcome required, so a fixed-fee proposal can be issued within 24 hours.</li><li>Manage opportunities from first contact to signed agreement, including proposal follow-up, objection handling, commercial terms, and coordinating technical calls.</li><li>Maintain accurate CRM records of every account, contact, stage, and next action.</li><li>Report market feedback which sectors respond, which objections recur, which requirements we cannot meet to inform positioning and product priorities.</li><li>Represent Soluvide at industry events and in-country client meetings.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum two years in B2B sales, business development, or account management software, IT services, SaaS, telecoms, medical devices, industrial equipment, or a comparable considered sale in Jordan or the wider region.</li><li>A demonstrable sales record: what you sold, to which types of company, typical deal size, sales-cycle length, and how you sourced the opportunities.</li><li>Proven ability to generate outbound pipeline. Most of this territory does not exist until you build it.</li><li>Professional working proficiency in Arabic and English.</li><li>Ability to hold a substantive commercial conversation with a business owner about operations, headcount, and cost not a features conversation.</li><li>Sufficient technical literacy to understand what an AI agent, a WhatsApp Business API integration, and a CRM automation do. Programming skills are not required.</li><li>Based in Amman or able to cover Jordan effectively, including domestic travel for client meetings.</li><li>Accuracy about what the product can and cannot do. We do not overstate timelines or capabilities to close business.</li><li>A valid right to work in the country of the role.</li></ul><p><strong>Preferred qualifications</strong></p><ul><li>Existing relationships with decision-makers in any of the sectors listed above.</li><li>Experience selling custom or project-based implementations rather than off-the-shelf licences.</li><li>Working familiarity with a CRM such as Zoho, HubSpot, or Salesforce.</li><li>Prior exposure to AI, automation, or software delivery, as a seller, a buyer, or a user.</li><li>Experience opening a new territory or market.</li><li>A bachelor's degree in business, engineering, or a related field.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Lucidya Lucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region.<br> Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.<br> This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.<br> About the Role The Project / Delivery Manager owns one critical question: “How do we execute what we promised?<br>” You take the Solution Consultant’s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.<br> You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.<br> Key Responsibilities1.<br> Scoping &amp; Handover from Solution Consultant You step in once a pilot or project is conceptually approved.<br> Formal Handover Receive full delivery context, including: Discovery findings Workflow maps and agent logic Success criteria and KPIs Pilot narrative and client expectations Clarify: Scope, constraints, dependencies, and assumptions Technical and operational boundaries Scope Confirmation Translate high-level workflows into clear delivery components: AI Agent versions (v0, v1, v2…) Integrations, channels, and data sources Dashboards, reporting, and monitoring Training, enablement, and documentation Align internally and with the client on: What is in scope vs out of scope for each phase 2.<br> Detailed Planning &amp; Backlog Management This is where ideas become execution.<br> You own: Building the delivery plan and timeline: Milestones, sprints, and go-live checkpoints Cross-team dependencies (AI, backend, integrations, data, CX ops) Creating and maintaining the delivery backlog: Break down deliverables into tasks and subtasks Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions) Keeping tools accurate and trusted: Trello / Jira / Notion as the single source of truth Task status, blockers, due dates, and changes 3.<br> Coordination &amp; Day-to-Day Execution You are the operational heartbeat of each pilot or project.<br> Responsibilities include: Running regular execution cadences: Standups and check-ins Progress reviews and decision syncs Ensuring tight collaboration between: Solution Consultants (business &amp; workflows) Engineering and AI teams (implementation) Client stakeholders (CX, IT, Operations, Compliance) Driving execution discipline: Clear meeting notes Action items with owners and deadlines Relentless follow-up until closure 4.<br> Risk, Change &amp; Stakeholder Management AI agent delivery comes with moving parts - you own visibility and control.<br> You will: Maintain a risk &amp; issues log covering: Technical risks (data access, integrations, latency, environments) Business risks (scope creep, stakeholder shifts, external dependencies) Manage change transparently: Assess impact on scope, timelines, and delivery Align with stakeholders before execution Provide clear, consistent communication: Status updates Escalations when needed Expectation management throughout the lifecycle 5.<br> UAT, Go-Live &amp; Post-Go-Live Stabilization Plan and coordinate: UAT cycles and acceptance criteria Go-live readiness and rollout plans Ensure smooth transition: Monitor early performance and issues Coordinate fixes and optimizations Own final handover: Documentation Support transition Clear ownership post-delivery 5-8 years in: SaaS implementation Technical project management Digital or platform delivery 3+ years delivering enterprise projects with multiple stakeholders (business &amp; IT) Proven experience with: Integrations, APIs, and data-driven workflows Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus Experience working closely with product and engineering teams in Agile/Scrum environments Must-Have Skills Project &amp; Delivery Excellence Strong command of: Scoping, timelines, milestones RAID (Risks, Assumptions, Issues, Dependencies) Confident running: Standups, execution reviews, steering meetings Technical Literacy (Non-Coding) Comfortable with: API-based integrations and webhooks Data flows between systems Able to: Read basic API documentation and JSON payloads Translate technical constraints into delivery decisions Solid conceptual understanding of: SaaS platforms LLMs and AI agent workflows Stakeholder Management &amp; Communication Can confidently manage: CX leadership IT and engineering teams Internal product and AI stakeholders Produces: Clear documentation Actionable recaps Concise, honest status updates Execution Mindset Turns ideas into: Tasks, owners, and deadlines Keeps delivery tools always current and reliable Strong sense of ownership and follow-through AI Project Awareness Comfortable with: Iterative AI delivery (experiments, versions, evaluation cycles) Data privacy, guardrails, and quality metrics Understands that AI delivery is adaptive, not linear Why Join Lucidya’s AI Agents Team Work at the intersection of AI, CX, and enterprise delivery Shape how AI agents are deployed in real-world, high-impact environments Partner with strong product, AI, and engineering teams Own delivery end-to-end - not just coordination Help define delivery standards for a brand-new AI business line Apply Now and help us redefine the future of Customer Experience with AI Agents.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem.<br> RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains.<br> In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.<br> Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group.<br> With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market.<br> Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.<br> Job Overview We are seeking an experienced Senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce.<br> This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform.<br> You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.<br> Role Responsibilities Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.<br> Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.<br> Architect Agentforce solutions, including: - Agents and sub-agents - Topics - Actions (Apex, Flow, Prompt-based, and Invocable Actions) - Instructions and orchestration Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.<br> Design scalable Salesforce platform architectures, including: - Data model - Sharing and visibility model - Security architecture Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.<br> Produce technical architecture documentation, solution blueprints, and executive presentations.<br> Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.<br> Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.<br> Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.<br> Provide technical leadership and mentoring to project teams throughout the solution lifecycle.<br> Fully remote engagement.<br> Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.<br> Collaborate with leading enterprise clients on large-scale digital transformation programmes.<br> Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.<br> Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.<br> Strong understanding of Agentforce architecture, including: Agents Sub-agents Topics Actions Instructions Orchestration Experience facilitating AI use case discovery and designing agent care plans.<br> Strong expertise in Salesforce Data Cloud (Data 360), including: Data modelling Batch and streaming ingestion Data harmonisation Identity resolution Deep understanding of Retrieval-Augmented Generation (RAG), including: Vector databases Embedding and chunking strategies Retrieval optimisation Grounding using Data Cloud and external knowledge sources Strong Salesforce platform architecture experience covering: Data modelling Security architecture Sharing and visibility model (OWD, Roles, Sharing Rules) Advanced development skills in: Apex Lightning Web Components (LWC) Salesforce Flow Experience designing enterprise integration patterns connecting Agentforce with external systems.<br> Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.<br> Understanding of the Agentforce consumption model.<br> Experience with Agentforce Testing Center or equivalent AI testing frameworks.<br> Nice to Have Knowledge of Model Context Protocol (MCP).<br> Experience with Agent-to-Agent (A2A) integration patterns.<br> Experience designing headless Salesforce architectures.<br> Agentblazer Legend status.<br> Agentforce FDE Ready Practitioner accreditation.<br> Preferred Salesforce Certifications Salesforce Application Architect Salesforce Data Cloud Consultant Salesforce Agentforce Specialist</span> </div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities Demand Planning Own the rolling demand forecast across all brands, SKUs, markets, and key customers Run a structured monthly forecast cycle with sales and commercial teams in each market, validating and challenging promotional uplifts, new listings, distributor orders, and baseline assumptions rather than simply aggregating them Reconcile sell-in, sell-out, and distributor stock-on-hand data to separate true consumer demand from pipeline fill Measure forecast accuracy and bias at SKU and market level, and close the loop with commercial teams on misses Supply Planning Convert the consensus demand plan into supplier-level purchase plans, accounting for production lead times, minimum order quantities, transit times, customs clearance, and shelf-life constraints Sequence purchase orders and shipments so stock lands in the right market, at the right time, with the right remaining shelf life Set stock cover targets by SKU and market, balancing service levels against working capital Monitor inventory ageing and escalate at-risk stock early, before it becomes a near-expiry liquidation S&amp;OP and Team Leadership Lead the monthly S&amp;OP process, aligning commercial, finance, and supply chain around a single set of numbers Manage, coach, and develop the Demand Planner Build documented, repeatable planning processes and tools so the function runs on process rather than individual heroics Report a monthly planning scorecard to the CEO covering forecast accuracy and bias, service level, stock cover, ageing and near-expiry stock, and liquidation losses Qualifications &amp; Experience • 7+ years in demand and supply planning within FMCG, ideally including import/distribution businesses rather than purely local manufacturing • Proven experience planning across multiple markets and/or through third-party distributors • A track record of constructively challenging sales and commercial teams on their forecasts, this role requires commercial backbone, not just analytical skill • Hands-on experience converting demand plans into purchase plans with international suppliers across varying production and transit lead times • Experience with shelf-life-sensitive categories strongly preferred • Prior experience managing or mentoring junior planners • Strong ERP proficiency (SAP Business One an advantage) and advanced Excel and analytical skills • Bachelor’s degree in Supply Chain, Engineering, Business, or a related field • Strong written and spoken English; Arabic is an advantage given the regional footprint</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities Demand Planning Own the rolling demand forecast across all brands, SKUs, markets, and key customers Run a structured monthly forecast cycle with sales and commercial teams in each market, validating and challenging promotional uplifts, new listings, distributor orders, and baseline assumptions rather than simply aggregating them Reconcile sell-in, sell-out, and distributor stock-on-hand data to separate true consumer demand from pipeline fill Measure forecast accuracy and bias at SKU and market level, and close the loop with commercial teams on misses Supply Planning Convert the consensus demand plan into supplier-level purchase plans, accounting for production lead times, minimum order quantities, transit times, customs clearance, and shelf-life constraints Sequence purchase orders and shipments so stock lands in the right market, at the right time, with the right remaining shelf life Set stock cover targets by SKU and market, balancing service levels against working capital Monitor inventory ageing and escalate at-risk stock early, before it becomes a near-expiry liquidation S&amp;OP and Team Leadership Lead the monthly S&amp;OP process, aligning commercial, finance, and supply chain around a single set of numbers Manage, coach, and develop the Demand Planner Build documented, repeatable planning processes and tools so the function runs on process rather than individual heroics Report a monthly planning scorecard to the CEO covering forecast accuracy and bias, service level, stock cover, ageing and near-expiry stock, and liquidation losses Qualifications &amp; Experience • 7+ years in demand and supply planning within FMCG, ideally including import/distribution businesses rather than purely local manufacturing • Proven experience planning across multiple markets and/or through third-party distributors • A track record of constructively challenging sales and commercial teams on their forecasts, this role requires commercial backbone, not just analytical skill • Hands-on experience converting demand plans into purchase plans with international suppliers across varying production and transit lead times • Experience with shelf-life-sensitive categories strongly preferred • Prior experience managing or mentoring junior planners • Strong ERP proficiency (SAP Business One an advantage) and advanced Excel and analytical skills • Bachelor’s degree in Supply Chain, Engineering, Business, or a related field • Strong written and spoken English; Arabic is an advantage given the regional footprint</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Overview Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. The Site Manager (SM) is responsible for delivering high-quality food service in accordance with the performance work statement. Responsibilities include, but are not limited to scheduling of personnel, work supervision and quality control. Functional authority and task completion are the responsibility of the Site Manager. Services provided shall include Food Services and DFAC Equipment Maintenance and Repair, Inspection, Cleaning and Maintenance of Hood and Duct Systems, Bottled Water Delivery Distribution and Storeroom functions as specified in the Performance Work Statement. The SM is responsible for direct oversight of the successful performance of key subcontracts put in place to support contract requirements. Responsibilities + Responsible for the overall management, execution, and personnel supervision of Food Services and DFAC Equipment Maintenance and Repair, Inspection, Cleaning and Maintenance of Hood and Duct Systems, Bottled Water Delivery Distribution and Storeroom Functions as specified in the Performance Work Statement. + Responsible for providing services on a 24/7/365 basis. + Responsible for successful implementation of all contractual matters and CDRL reports at designated site/location. + Shall meet with the contracting officer, contract administrator, government’s quality assurance person and other government personnel as needed to ensure a successful partnership. + Responsible for ensuring a safe, clean, sanitary, healthy, presentable, professional atmosphere, free of dust, clutter and trash in all working facilities and areas. + Responsible for establishing and maintaining a documented training program. + Responsible for proper utilization and safeguarding of all government and contractor provided property (e.g., to include government facilities, equipment and tools). + Manage subcontracts put in place to support contract requirements. + Responsible for precise execution of company time reporting procedures and accurate completion of timesheet. + Shall perform escort duties. + Performs other duties as assigned in accordance with contractual, functional, and mission requirements. + The preceding job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this classification. It may not contain a comprehensive inventory of all duties, responsibilities and qualifications required of employees to perform this job. Qualifications Minimum Qualifications Education/Certifications: + Must have a High School diploma or equivalent, bachelor’s degree preferred. + Must have or shall be able to pass and maintain a current Serve-Safe certification. + Must be certified or shall be willing to receive certification to drive up to a 10K forklift. + Must be able to or shall be willing to learn to drive manual transmission vehicles. + Must have a current, valid U.S. Passport and US or Local Driver’s License. + Must have and maintain a valid U.S. SECRET or Interim Secret Security Clearance prior to deployment. + Must be able to read, write, speak and understand English fluently. + Must be able to pass MOD15 employment and deployment qualification requirements that include psychological, medical, dental, drug testing, background checks, etc. Experience: + Military food service experience in the grade of Master Sergeant (E-7) or above within the ten (10) years, three (3) year must have been served as a manager or assistant manager. + Additional managerial experience to include: performance management of employees, training, completing required reports, and excellent customer satisfaction results. Skills: + Must be knowledgeable in Tri-Service Food Code, Food Safety Program AFI 34-239, AFMAN 34-240, Food Service Program Management Armed Forces Recipe System, inventory control, HACCP, and the U.S Department of Health and Human Services Food Code standards. + Thorough understanding of quality customer food service and preparation of nutritional meals. + Must be able to work under pressure. + Service oriented. + Excellent communication, analytical, project management and supervisory skills. + Must be skilled with Microsoft programs such as Excel, Word, and Power Point. + Able and willing to work periods of long hours to meet mission requirements + Military experience in a contingency environment and knowledge and experience working with government contracts preferred. Supervisory/Budget Responsibilities: + Must be willing to familiarize self with program financials to include PMRs and EACs. Working Environment: + Work will be indoors and outdoors. + Exposure to heat, cold, dust, noise, chemicals may occur. + Overtime and shift work may be required depending on contractual needs. + Employee must comply with all Federal, State and Local regulations and published Company work rules as well as written instructions. + Task specific work environment training will be provided as required. + Must be prepared to function in a wartime environment to support U.S. interests. + 100% Overseas Assignment. At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>COGNNA is a fast-growing cybersecurity startup revolutionizing how businesses manage their security operations.<br> Our innovative SaaS platform provides organizations with the tools to detect, prevent, and respond to cyber threats with ease.<br> Headquartered in Riyadh, Saudi Arabia, COGNNA is on a mission to empower businesses locally and internationally to build resilient and cost-effective cybersecurity operations.<br> We are looking for a highly skilled Senior Technical Support Engineer to serve as the ultimate escalation point for our clients' technical issues.<br> In this role, you will focus entirely on ensuring the seamless agent deployment, functionality efficiency, and health of our Platform.<br> You will troubleshoot complex system environments, lead agent installations, conduct client training sessions.<br> Key Responsibilities Advanced Technical Troubleshooting: Act as the Tier 2/Escalation point for complex technical issues, diagnosing and resolving deep-rooted system, network, and software problems for our clients.<br> Agent Installation &amp; Management: Guide clients through, and directly execute, the deployment and configuration of software agents (e.<br>g., EDR, monitoring tools) across diverse enterprise environments (Windows, Linux, Kubernetes, etc.<br>). Client Training &amp; Onboarding: Design and deliver comprehensive technical training sessions to ensure clients are fully equipped to utilize and maintain our solutions.<br> Escalation &amp; Communication Management: Lead communications with key client stakeholders (including technical Champions) during high-priority technical roadblocks, translating complex issues into clear, actionable updates.<br> Knowledge &amp; Process Improvement: Author detailed Knowledge Base (KB) articles and standard operating procedures (SOPs) to streamline future installations and troubleshooting steps.<br> Team Mentorship: Coach and guide junior support staff on advanced troubleshooting techniques and client management.<br> ? Competitive Package – Salary + equity options + saving plan ? Flexible &amp; Remote – Work from anywhere with an outcomes-first culture ? Team of Experts – Work with designers, engineers, and security pros solving real-world problems ? Growth-Focused – Your ideas ship, your voice counts, your growth matters ? Global Impact – Build products that protect critical systems and data 5+ years in enterprise technical support, field engineering, or a highly technical, customer-facing B2B SaaS role.<br> Strong skills in managing and fixing major enterprise operating systems, especially Windows, Linux, and macOS.<br> Strong understanding of public cloud platforms (AWS, Azure, or GCP) to support and fix software setups in cloud and hybrid environments.<br> Strong understanding of network setups and protocols, including TCP/IP, DNS, ICMP, and Firewalls, with the ability to use network tools to fix connectivity and installation blocks.<br> Skilled in PowerShell and Shell scripting (Bash) to automate troubleshooting and handle large-scale software deployments.<br> Good general understanding of cybersecurity products (like EDR, SIEM, or XDR) only from an installation, system compatibility, and setup standpoint.<br> Great ability to break down deployment failures, read complex log files, and copy complex client environments in a test lab.<br> Strong verbal and written communication skills, with the professionalism needed to deliver training and lead important talks during onsite client visits.<br></span> </div>