Real Estate Sales Jobs in Jordan

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p>We create epic career journeys that empower our people towards greater opportunities and brighter futures. At Concentrix, you belong, you make a difference, and you succeed on your terms. Career growth and personal development: This is a great opportunity to reimagine an all-new career journey and develop friends for life at the same time. We ll give you all the training, cutting-edge technologies, and the continuing support you ll need to succeed. Plus, at Concentrix there s real career and personal growth potential. In fact, about 80% of our managers and leaders have been promoted from within! That s why we offer a range of FREE Learning and Leadership Development programs designed to set you on your way to the kind of career you ve always envisioned. What you will do in this role: In everything we do, we believe in doing right by and for people our clients, their customers, our people, our community, and our planet. As a Customer Service Representative on our team, you will: Review customer requests and expectations and respond to them according to their needs and situations Manage multichannel interactions (e.g., voice, email, social media, or chat) to ensure a consistent customer experience Develop your tech skills and learn how to use software solutions that improve people s lives Champion better brand experiences for our customers and clients</p><p><strong>Desired Candidate Profile</strong></p><p>We embrace our game-changers with open arms, people from diverse backgrounds, curious, and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are. Concentrix is a great match if you:</p><ul><li>Are proficient or bilingual in Arabic and English (advanced English level)</li><li>Are proactive, self-motivated, and solution-oriented</li><li>Can work rotating and weekend shifts</li><li>Located in Irbid</li></ul><p>It will be a plus if you:</p><ul><li>Have previous experience in Customer Service or Sales</li><li>Know how to work with helpdesk systems</li></ul><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Deliver professional MBA-level training programs in business administration, management, and leadership.</p><p>Prepare and deliver high-quality training materials, presentations, case studies, exercises, and assessments.</p><p>Train participants on key business disciplines including strategy, leadership, marketing, finance, HR, operations, entrepreneurship, and business planning.</p><p>Apply real-world business cases, market examples, simulations, and practical exercises to enhance learning outcomes.</p><p>Facilitate interactive discussions, workshops, group activities, and business case analysis.</p><p>Support trainees in developing business plans, strategic plans, feasibility studies, presentations, and management reports.</p><p>Assess participant progress through assignments, presentations, practical tasks, and feedback sessions.</p><p>Customize training content based on participant background, business needs, and program objectives.</p><p>Maintain a professional learning environment that encourages critical thinking, problem-solving, leadership, and decision-making skills.</p><p>Contribute to curriculum development, course improvement, and training quality enhancement.</p><strong>Core Training Areas</strong><ul><li>Strategic Management and Business Planning</li><li>Leadership and Organizational Behavior</li><li>Marketing Management and Sales Strategy</li><li>Financial Management and Business Analysis</li><li>Human Resource Management</li><li>Operations and Process Management</li><li>Entrepreneurship and Innovation</li><li>Project Management Fundamentals</li><li>Business Communication and Presentation Skills</li><li>Corporate Governance, Ethics, and Decision-Making</li><li>Feasibility Studies and Market Analysis</li><li>Change Management and Organizational Development</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5-10 years of proven experience in business training, management education, executive training, or corporate learning.</li><li>MBA degree or relevant postgraduate qualification in Business Administration, Management, Finance, Marketing, or a related field is strongly preferred.</li><li>Strong understanding of modern business practices, corporate management, entrepreneurship, and leadership development.</li><li>Proven ability to deliver professional training to adults, professionals, managers, entrepreneurs, and corporate teams.</li><li>Excellent presentation, communication, facilitation, and public speaking skills.</li><li>Ability to simplify complex business concepts and connect them to practical workplace scenarios.</li><li>Strong experience in preparing business training materials, case studies, assessments, and practical assignments.</li><li>Ability to work onsite in Irbid, Jordan.</li><li>Previous experience as a university lecturer, corporate trainer, business consultant, executive coach, or management professional.</li><li>Experience delivering training for companies, training centers, universities, incubators, or entrepreneurship programs.</li><li>Professional certifications in business, leadership, project management, training, or coaching are an advantage.</li><li>Experience in designing MBA-style short courses, executive education programs, or professional development programs.</li><li>Ability to deliver training in English and/or Arabic.</li></ul><strong>Skills</strong><ul><li>Strategic thinking</li><li>Business analysis</li><li>Leadership development</li><li>Adult learning and facilitation</li><li>Professional communication</li><li>Problem-solving and decision-making</li><li>Curriculum development</li><li>Case-study-based teaching</li><li>Coaching and mentoring</li><li>Training quality management</li></ul><p></p></section>

<p><h4>Description</h4> <p>We're hiring an implementation specialist to lead customer onboarding and ensure successful deployments of OpenCX. You'll be the customer's primary partner from kickoff through go-live — guiding setup, configuring the platform to their needs, integrating with their existing tools, and training their teams.</p> <p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the customer engineering and product teams to turn real customer feedback into smoother onboarding. You'll also play a key role in helping customers get the most out of our AI capabilities, including agent configuration and prompt iteration.</p> <p>The complexity of implementations you handle will scale with your experience and ability to manage technical projects.</p> <p>This is a customer-facing implementation role with strong technical depth — focused on delivery and customer success, not pure support and not pure engineering.</p> <h4>What you'll do</h4> <ul> <li>Lead customer onboarding end-to-end: kickoff calls, setup, configuration, integrations, and go-live.</li> <li>Configure OpenCX to match each customer's workflow, including connecting tools like Zendesk, Intercom, HubSpot, and others.</li> <li>Train customer teams on the platform and ensure successful adoption.</li> <li>Debug and troubleshoot complex implementation issues, including third-party integrations.</li> <li>Collaborate closely with customer engineering and product teams: share customer feedback and help prioritize improvements.</li> <li>Build strong expertise in the platform (including AI agents and prompt iteration) so you can effectively advise customers on their setup.</li> <li>Document recurring implementation patterns to strengthen internal knowledge and customer resources.</li> </ul> <h4>Requirements</h4> <ul> <li>Previous experience leading customer implementations, onboardings, or technical projects in a SaaS environment.</li> <li>Strong technical aptitude — comfortable working with APIs, integrations, and configuration tools (e.g. Zendesk, Intercom, HubSpot).</li> <li>Hands-on experience with AI agents and prompt engineering, or strong willingness to learn (this is important, as OpenCX is an AI-native platform).</li> <li>Excellent project management skills — keeping multiple customer implementations on track and on time.</li> <li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li> <li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li> <li>Comfortable working remotely with customers across multiple global time zones.</li> </ul> <h4>Benefits</h4> <ul> <li>Top of the market compensation</li> <li>Health insurance</li> <li>Working at a high-growth, YC-backed startup</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're hiring an implementation specialist to lead customer onboarding and ensure successful deployments of OpenCX. You'll be the customer's primary partner from kickoff through go-live — guiding setup, configuring the platform to their needs, integrating with their existing tools, and training their teams.</p> <p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the customer engineering and product teams to turn real customer feedback into smoother onboarding. You'll also play a key role in helping customers get the most out of our AI capabilities, including agent configuration and prompt iteration.</p> <p>The complexity of implementations you handle will scale with your experience and ability to manage technical projects.</p> <p>This is a customer-facing implementation role with strong technical depth — focused on delivery and customer success, not pure support and not pure engineering.</p> <h4>What you'll do</h4> <ul> <li>Lead customer onboarding end-to-end: kickoff calls, setup, configuration, integrations, and go-live.</li> <li>Configure OpenCX to match each customer's workflow, including connecting tools like Zendesk, Intercom, HubSpot, and others.</li> <li>Train customer teams on the platform and ensure successful adoption.</li> <li>Debug and troubleshoot complex implementation issues, including third-party integrations.</li> <li>Collaborate closely with customer engineering and product teams: share customer feedback and help prioritize improvements.</li> <li>Build strong expertise in the platform (including AI agents and prompt iteration) so you can effectively advise customers on their setup.</li> <li>Document recurring implementation patterns to strengthen internal knowledge and customer resources.</li> </ul> <h4>Requirements</h4> <ul> <li>Previous experience leading customer implementations, onboardings, or technical projects in a SaaS environment.</li> <li>Strong technical aptitude — comfortable working with APIs, integrations, and configuration tools (e.g. Zendesk, Intercom, HubSpot).</li> <li>Hands-on experience with AI agents and prompt engineering, or strong willingness to learn (this is important, as OpenCX is an AI-native platform).</li> <li>Excellent project management skills — keeping multiple customer implementations on track and on time.</li> <li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li> <li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li> <li>Comfortable working remotely with customers across multiple global time zones.</li> </ul> <h4>Benefits</h4> <ul> <li>Top of the market compensation</li> <li>Health insurance</li> <li>Working at a high-growth, YC-backed startup</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>Why this freelance opportunity might be a great fit for you?</h4> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Open is an AI customer support platform that helps enterprise businesses automate customer interactions at scale. Working at the intersection of software, support operations, and AI, the team focuses on building practical solutions that improve how customers are supported and how internal teams operate.</p> <p>As a CSM (Customer Success Manager), you will play a key role in helping customers adopt the platform successfully and get long-term value from it. This role sits close to both customers and internal teams, with a strong focus on implementation, coordination, and operational clarity. You will help shape a smooth post-sales experience while supporting complex customer needs and ensuring technical and business stakeholders stay aligned.</p> <h4>Responsibilities</h4> <ul> <li>Onboard customers and ensure successful platform implementation, serving as a liaison between customers and engineering.</li> <li>Manage integrations with ticketing systems and workflows, and establish clear work processes.</li> <li>Lead complex technical onboarding involving API integrations, system design, and data migrations.</li> <li>Resolve escalations as primary technical contact, collaborating with engineering to fix bugs.</li> <li>Advise on security protocols, authentication, and infrastructure scaling best practices.</li> <li>Audit usage data to optimize platform performance and identify underutilized features.</li> <li>Translate technical documentation into clear training resources for non-technical teams.</li> <li>Conduct business review health checks to align product performance with client goals.</li> <li>Proactively monitor customer health to prevent churn and identify growth opportunities.</li> <li>Drive account growth by identifying expansion options and secure renewals by demonstrating ROI.</li> <li>Advocate for customers by converting feedback into structured product feature requests.</li> </ul> <h4>Requirements</h4> <ul> <li>3-5 years of Customer Success Manager experience onboarding enterprise customers, managing post-sales relationships in SaaS, working in startup environments, and handling technical integrations with ticketing systems.</li> <li>Experience with CRM tools such as Salesforce or HubSpot, along with workflow automation tools.</li> <li>Experience using AI tools, including prompt engineering and AI-based integrations.</li> <li>Experience with project scoping, structured implementation processes, and creating onboarding playbooks that define clear work processes and workflows.</li> <li>Experience managing senior stakeholders and acting as a bridge between customers and engineering, including coordinating across engineering, support, and product teams.</li> <li>Availability during CET business hours and flexibility to support enterprise customers across different time zones.</li> <li>Bachelor's degree in business, communications, computer science, or a related field is a plus.</li> <li>Domain experience in enterprise SaaS, AI customer support, or support operations is a plus.</li> </ul> <h4>Benefits</h4> <h4>What we offer</h4> <ul> <li>YC-backed with real traction — we are in-market, growing, and trusted by enterprise names you know.</li> <li>Outsized career trajectory — early team members grow into leadership as we scale globally.</li> <li>Real ownership — your work will be seen, felt, and talked about company-wide.</li> <li>High-trust team — no politics, no bureaucracy; we move fast and support each other.</li> <li>Competitive compensation — top-of-market salary plus equity and full benefits.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Open is an AI customer support platform that helps enterprise businesses automate customer interactions at scale. Working at the intersection of software, support operations, and AI, the team focuses on building practical solutions that improve how customers are supported and how internal teams operate.</p> <p>As a CSM (Customer Success Manager), you will play a key role in helping customers adopt the platform successfully and get long-term value from it. This role sits close to both customers and internal teams, with a strong focus on implementation, coordination, and operational clarity. You will help shape a smooth post-sales experience while supporting complex customer needs and ensuring technical and business stakeholders stay aligned.</p> <h4>Responsibilities</h4> <ul> <li>Onboard customers and ensure successful platform implementation, serving as a liaison between customers and engineering.</li> <li>Manage integrations with ticketing systems and workflows, and establish clear work processes.</li> <li>Lead complex technical onboarding involving API integrations, system design, and data migrations.</li> <li>Resolve escalations as primary technical contact, collaborating with engineering to fix bugs.</li> <li>Advise on security protocols, authentication, and infrastructure scaling best practices.</li> <li>Audit usage data to optimize platform performance and identify underutilized features.</li> <li>Translate technical documentation into clear training resources for non-technical teams.</li> <li>Conduct business review health checks to align product performance with client goals.</li> <li>Proactively monitor customer health to prevent churn and identify growth opportunities.</li> <li>Drive account growth by identifying expansion options and secure renewals by demonstrating ROI.</li> <li>Advocate for customers by converting feedback into structured product feature requests.</li> </ul> <h4>Requirements</h4> <ul> <li>3-5 years of Customer Success Manager experience onboarding enterprise customers, managing post-sales relationships in SaaS, working in startup environments, and handling technical integrations with ticketing systems.</li> <li>Experience with CRM tools such as Salesforce or HubSpot, along with workflow automation tools.</li> <li>Experience using AI tools, including prompt engineering and AI-based integrations.</li> <li>Experience with project scoping, structured implementation processes, and creating onboarding playbooks that define clear work processes and workflows.</li> <li>Experience managing senior stakeholders and acting as a bridge between customers and engineering, including coordinating across engineering, support, and product teams.</li> <li>Availability during CET business hours and flexibility to support enterprise customers across different time zones.</li> <li>Bachelor's degree in business, communications, computer science, or a related field is a plus.</li> <li>Domain experience in enterprise SaaS, AI customer support, or support operations is a plus.</li> </ul> <h4>Benefits</h4> <h4>What we offer</h4> <ul> <li>YC-backed with real traction — we are in-market, growing, and trusted by enterprise names you know.</li> <li>Outsized career trajectory — early team members grow into leadership as we scale globally.</li> <li>Real ownership — your work will be seen, felt, and talked about company-wide.</li> <li>High-trust team — no politics, no bureaucracy; we move fast and support each other.</li> <li>Competitive compensation — top-of-market salary plus equity and full benefits.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Open is an AI customer support platform that helps enterprise businesses automate customer interactions at scale. Working at the intersection of software, support operations, and AI, the team focuses on building practical solutions that improve how customers are supported and how internal teams operate.</p> <p>As a CSM (Customer Success Manager), you will play a key role in helping customers adopt the platform successfully and get long-term value from it. This role sits close to both customers and internal teams, with a strong focus on implementation, coordination, and operational clarity. You will help shape a smooth post-sales experience while supporting complex customer needs and ensuring technical and business stakeholders stay aligned.</p> <h4>Responsibilities</h4> <ul> <li>Onboard customers and ensure successful platform implementation, serving as a liaison between customers and engineering.</li> <li>Manage integrations with ticketing systems and workflows, and establish clear work processes.</li> <li>Lead complex technical onboarding involving API integrations, system design, and data migrations.</li> <li>Resolve escalations as primary technical contact, collaborating with engineering to fix bugs.</li> <li>Advise on security protocols, authentication, and infrastructure scaling best practices.</li> <li>Audit usage data to optimize platform performance and identify underutilized features.</li> <li>Translate technical documentation into clear training resources for non-technical teams.</li> <li>Conduct business review health checks to align product performance with client goals.</li> <li>Proactively monitor customer health to prevent churn and identify growth opportunities.</li> <li>Drive account growth by identifying expansion options and secure renewals by demonstrating ROI.</li> <li>Advocate for customers by converting feedback into structured product feature requests.</li> </ul> <h4>Requirements</h4> <ul> <li>3-5 years of Customer Success Manager experience onboarding enterprise customers, managing post-sales relationships in SaaS, working in startup environments, and handling technical integrations with ticketing systems.</li> <li>Experience with CRM tools such as Salesforce or HubSpot, along with workflow automation tools.</li> <li>Experience using AI tools, including prompt engineering and AI-based integrations.</li> <li>Experience with project scoping, structured implementation processes, and creating onboarding playbooks that define clear work processes and workflows.</li> <li>Experience managing senior stakeholders and acting as a bridge between customers and engineering, including coordinating across engineering, support, and product teams.</li> <li>Availability during CET business hours and flexibility to support enterprise customers across different time zones.</li> <li>Bachelor's degree in business, communications, computer science, or a related field is a plus.</li> <li>Domain experience in enterprise SaaS, AI customer support, or support operations is a plus.</li> </ul> <h4>Benefits</h4> <h4>What we offer</h4> <ul> <li>YC-backed with real traction we are in-market, growing, and trusted by enterprise names you know.</li> <li>Outsized career trajectory early team members grow into leadership as we scale globally.</li> <li>Real ownership your work will be seen, felt, and talked about company-wide.</li> <li>High-trust team no politics, no bureaucracy; we move fast and support each other.</li> <li>Competitive compensation top-of-market salary plus equity and full benefits.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Open is an AI customer support platform that helps enterprise businesses automate customer interactions at scale. Working at the intersection of software, support operations, and AI, the team focuses on building practical solutions that improve how customers are supported and how internal teams operate.</p> <p>As a CSM (Customer Success Manager), you will play a key role in helping customers adopt the platform successfully and get long-term value from it. This role sits close to both customers and internal teams, with a strong focus on implementation, coordination, and operational clarity. You will help shape a smooth post-sales experience while supporting complex customer needs and ensuring technical and business stakeholders stay aligned.</p> <h4>Responsibilities</h4> <ul> <li>Onboard customers and ensure successful platform implementation, serving as a liaison between customers and engineering.</li> <li>Manage integrations with ticketing systems and workflows, and establish clear work processes.</li> <li>Lead complex technical onboarding involving API integrations, system design, and data migrations.</li> <li>Resolve escalations as primary technical contact, collaborating with engineering to fix bugs.</li> <li>Advise on security protocols, authentication, and infrastructure scaling best practices.</li> <li>Audit usage data to optimize platform performance and identify underutilized features.</li> <li>Translate technical documentation into clear training resources for non-technical teams.</li> <li>Conduct business review health checks to align product performance with client goals.</li> <li>Proactively monitor customer health to prevent churn and identify growth opportunities.</li> <li>Drive account growth by identifying expansion options and secure renewals by demonstrating ROI.</li> <li>Advocate for customers by converting feedback into structured product feature requests.</li> </ul> <h4>Requirements</h4> <ul> <li>3-5 years of Customer Success Manager experience onboarding enterprise customers, managing post-sales relationships in SaaS, working in startup environments, and handling technical integrations with ticketing systems.</li> <li>Experience with CRM tools such as Salesforce or HubSpot, along with workflow automation tools.</li> <li>Experience using AI tools, including prompt engineering and AI-based integrations.</li> <li>Experience with project scoping, structured implementation processes, and creating onboarding playbooks that define clear work processes and workflows.</li> <li>Experience managing senior stakeholders and acting as a bridge between customers and engineering, including coordinating across engineering, support, and product teams.</li> <li>Availability during CET business hours and flexibility to support enterprise customers across different time zones.</li> <li>Bachelor's degree in business, communications, computer science, or a related field is a plus.</li> <li>Domain experience in enterprise SaaS, AI customer support, or support operations is a plus.</li> </ul> <h4>Benefits</h4> <h4>What we offer</h4> <ul> <li>YC-backed with real traction we are in-market, growing, and trusted by enterprise names you know.</li> <li>Outsized career trajectory early team members grow into leadership as we scale globally.</li> <li>Real ownership your work will be seen, felt, and talked about company-wide.</li> <li>High-trust team no politics, no bureaucracy; we move fast and support each other.</li> <li>Competitive compensation top-of-market salary plus equity and full benefits.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>COGNNA is a fast-growing cybersecurity startup revolutionizing how businesses manage their security operations. Our innovative SaaS platform provides organizations with the tools to detect, prevent, and respond to cyber threats with ease. Headquartered in Riyadh, Saudi Arabia, COGNNA is on a mission to empower businesses locally and internationally to build resilient and cost-effective cybersecurity operations.</p> <p>We are looking for a highly skilled Senior Technical Support Engineer to serve as the ultimate escalation point for our clients' technical issues. In this role, you will focus entirely on ensuring the seamless agent deployment, functionality efficiency, and health of our platform. You will troubleshoot complex system environments, lead agent installations, and conduct client training sessions.</p> <h4>Key responsibilities</h4> <ul> <li><strong>Advanced technical troubleshooting:</strong> Act as the Tier 2/Escalation point for complex technical issues, diagnosing and resolving deep-rooted system, network, and software problems for our clients.</li> <li><strong>Agent installation & management:</strong> Guide clients through, and directly execute, the deployment and configuration of software agents (e.g., EDR, monitoring tools) across diverse enterprise environments (Windows, Linux, Kubernetes, etc.).</li> <li><strong>Client training & onboarding:</strong> Design and deliver comprehensive technical training sessions to ensure clients are fully equipped to utilize and maintain our solutions.</li> <li><strong>Escalation & communication management:</strong> Lead communications with key client stakeholders (including technical champions) during high-priority technical roadblocks, translating complex issues into clear, actionable updates.</li> <li><strong>Knowledge & process improvement:</strong> Author detailed knowledge base (KB) articles and standard operating procedures (SOPs) to streamline future installations and troubleshooting steps.</li> <li><strong>Team mentorship:</strong> Coach and guide junior support staff on advanced troubleshooting techniques and client management.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years in enterprise technical support, field engineering, or a highly technical, customer-facing B2B SaaS role.</li> <li>Strong skills in managing and fixing major enterprise operating systems, especially Windows, Linux, and macOS.</li> <li>Strong understanding of public cloud platforms (AWS, Azure, or GCP) to support and fix software setups in cloud and hybrid environments.</li> <li>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.</li> <li>Skilled in PowerShell and Shell scripting (Bash) to automate troubleshooting and handle large-scale software deployments.</li> <li>Good general understanding of cybersecurity products (like EDR, SIEM, or XDR) only from an installation, system compatibility, and setup standpoint.</li> <li>Great ability to break down deployment failures, read complex log files, and copy complex client environments in a test lab.</li> <li>Strong verbal and written communication skills, with the professionalism needed to deliver training and lead important talks during onsite client visits.</li> </ul> <h4>Benefits</h4> <ul> <li>Competitive package – salary, equity options, and saving plan</li> <li>Flexible & remote – work from anywhere with an outcomes-first culture</li> <li>Team of experts – work with designers, engineers, and security professionals solving real-world problems</li> <li>Growth-focused – your ideas ship, your voice counts, your growth matters</li> <li>Global impact – build products that protect critical systems and data</li> </ul></p><p></p>