Overview We're looking for a data-obsessed explorer who can build and maintain pipelines that collect, clean, and enhance large volumes of data, then apply AI tools to keep it accurate, useful, and ready for analysis. This is initially a project-based role with the possibility of evolving into a full-time contract based on performance and business needs. Key Responsibilities Data Acquisition & Scraping Design, develop, and maintain scalable web-scraping systems and APIs to collect structured and unstructured data from diverse sources. Ensure compliance with data privacy laws (GDPR, CCPA) and site-specific terms of service. Data Enrichment & Transformation Implement pipelines to clean, normalize, and enrich raw data using third-party datasets, NLP (natural language processing), and machine learning techniques. Build automated matching and deduplication processes to maintain a unified source of truth. Quality Assurance & Monitoring Create automated QA checks to validate data accuracy, completeness, and consistency. Set up monitoring and alert systems to catch anomalies or pipeline failures early. AI & Process Optimization Integrate AI models for entity extraction, text classification, and predictive enrichment. Work with the data science team to design features that feed analytics and machine learning models. Collaboration & Documentation Partner with product, engineering, and analytics teams to define data requirements and priorities. Maintain clear technical documentation and data lineage records Requirements Strong programming skills in Python (Scrapy, BeautifulSoup, Selenium, Playwright) or equivalent languages. Experience with data pipelines and ETL tools (Airflow, Prefect, or similar). Proficiency in SQL/NoSQL databases and data warehousing (e.g., BigQuery, Snowflake). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Knowledge of machine learning workflows and libraries (scikit-learn, spaCy, Hugging Face) is a big plus. Solid understanding of data privacy and ethical data collection practices. Nice-to-Have Experience with LLMs (large language models) for text enrichment. Background in data visualization or BI tools (Tableau, Looker, Power BI). Familiarity with real-time streaming data (Kafka, Kinesis). Traits for Success Detail-oriented with a knack for spotting hidden data issues. Curious problem solver who loves automation and efficiency. Comfortable in a fast-paced environment where requirements evolve quickly Benefits Remote work. Flexible work schedule . Opportunity for a long term contract .
About The Role We are seeking a friendly, highly organized, and sales-driven female professional to join our remote team supporting an upscale beauty salon based in Business Bay, Dubai . This remote role blends customer service, online sales, and administrative coordination. You'll be the digital face of our salon, managing customer interactions, driving bookings, and supporting operational logistics for both in-salon and home service appointments. Key Responsibilities Client Interaction & Support Greet and engage clients virtually via WhatsApp, Instagram, phone, and online booking platforms Manage client inquiries, resolve issues, and provide personalized service recommendations Follow up on appointments, feedback, and rebooking opportunities Sales & Upselling Promote salon services and products through digital channels Convert inquiries into bookings and cross-sell additional treatments or retail products Meet or exceed monthly sales and conversion goals Administrative Tasks Maintain and update digital records of client profiles, bookings, and sales using tools like Excel, Google Sheets, or salon management software Manage the salon's appointment calendar and coordinate scheduling with therapists and service teams Handle invoicing, payment confirmations, and digital cash tracking Operational Coordination Assist in organizing home visit logistics and ensure smooth communication between clients and therapists Support internal team communication and timely reporting of client needs and appointments Track service feedback and suggest improvements to enhance customer satisfaction Requirements Prior experience in customer service, sales, or front desk operations (preferably in the beauty/wellness industry) Strong written and verbal communication skills in English (Arabic is a plus) Proficient in Microsoft Office Suite and/or Google Workspace Comfortable working remotely with self-discipline and strong time management Friendly, empathetic, and sales-focused approach Familiarity with salon management platforms (e.g., Fresha, Booksy) Experience handling Instagram/WhatsApp Business for client communication Knowledge of beauty or wellness products/services Benefits Salary: USD 300/month + Commission Opportunities for growth and in-house training Performance bonuses and recognition Friendly work environment in a high-end location
Overview We're looking for a data-obsessed explorer who can build and maintain pipelines that collect, clean, and enhance large volumes of data, then apply AI tools to keep it accurate, useful, and ready for analysis. This is initially a project-based role with the possibility of evolving into a full-time contract based on performance and business needs. Key Responsibilities Data Acquisition & Scraping Design, develop, and maintain scalable web-scraping systems and APIs to collect structured and unstructured data from diverse sources. Ensure compliance with data privacy laws (GDPR, CCPA) and site-specific terms of service. Data Enrichment & Transformation Implement pipelines to clean, normalize, and enrich raw data using third-party datasets, NLP (natural language processing), and machine learning techniques. Build automated matching and deduplication processes to maintain a unified source of truth. Quality Assurance & Monitoring Create automated QA checks to validate data accuracy, completeness, and consistency. Set up monitoring and alert systems to catch anomalies or pipeline failures early. AI & Process Optimization Integrate AI models for entity extraction, text classification, and predictive enrichment. Work with the data science team to design features that feed analytics and machine learning models. Collaboration & Documentation Partner with product, engineering, and analytics teams to define data requirements and priorities. Maintain clear technical documentation and data lineage records Requirements Strong programming skills in Python (Scrapy, BeautifulSoup, Selenium, Playwright) or equivalent languages. Experience with data pipelines and ETL tools (Airflow, Prefect, or similar). Proficiency in SQL/NoSQL databases and data warehousing (e.g., BigQuery, Snowflake). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Knowledge of machine learning workflows and libraries (scikit-learn, spaCy, Hugging Face) is a big plus. Solid understanding of data privacy and ethical data collection practices. Nice-to-Have Experience with LLMs (large language models) for text enrichment. Background in data visualization or BI tools (Tableau, Looker, Power BI). Familiarity with real-time streaming data (Kafka, Kinesis). Traits for Success Detail-oriented with a knack for spotting hidden data issues. Curious problem solver who loves automation and efficiency. Comfortable in a fast-paced environment where requirements evolve quickly Benefits Remote work. Flexible work schedule . Opportunity for a long term contract .
Lead Platform Owner (Migration, Stabilization & Integrations) Remote | Full-time preferred (strong part-time with ramp acceptable) The Mission You will take ownership of an existing AI-powered SaaS platform (D50 AI), audit it, migrate it away from a third-party vendor, stabilize it, and make it safe for real users. This is not a greenfield build. This is not a ticket-based role. This is not a research or "prompt engineering" position. You will inherit: an imperfect codebase, partial documentation, multiple AI, telecom, and CRM integrations, and a platform that must be stabilized before it can scale. Your job is to bring order, reliability, and ownership — not to rewrite everything or chase shiny features. If you enjoy untangling systems, holding vendors accountable, and turning chaos into something dependable, this role fits. If you need perfect specs and clean handoffs, it does not. Requirements What You'll Be Responsible For Vendor Handover, QA & Migration Oversight (CRITICAL) Perform a technical audit of the existing platform before and during migration. Review code quality, architecture, workflows, and integrations. Identify broken, incomplete, or unstable components before payment milestones. Clearly flag issues that must be fixed by the current vendor to achieve a clean handover. Protect the company from paying for unstable or incomplete systems. Support and validate the migration to Division50-owned infrastructure. Confirm that delivered code actually runs and matches expected functionality. You are expected to push back when things are not production-ready. Platform Ownership & Stabilization Take full technical ownership of the D50 AI platform. Understand the architecture end-to-end: frontend, backend, AI workflows, databases, and integrations. Fix reliability issues, broken flows, and silent failures. Make the platform safe to onboard real users without constant breakage. Infrastructure, Deployment & Observability Own environments and deployments (AWS or equivalent). Ensure proper separation of dev / staging / production. Set up logging, monitoring, and basic alerting. Introduce visibility into failures (no silent errors). Optimize cloud costs so unit economics remain sane. AI Orchestration & Model Integrations You will work hands-on with: OpenAI (text, image generation) ElevenLabs / Cartesia (voice generation) Deepgram (speech-to-text) HeyGen or similar (video generation) AI orchestration tools (Langflow or equivalent) You are not expected to invent new models. You are expected to: wire them correctly, handle failures and retries, validate outputs, and ensure predictable behavior. Telephony & Real-Time Systems Own integrations with Telnyx and/or Twilio. Understand call flows, call states, retries, recordings, and dispositions. Ensure calls, transcripts, and outcomes are logged and debuggable. Make AI caller behavior stable enough for paying customers. CRM, Campaign & Workflow Logic Maintain and improve CRM-related logic: leads activities call and email logs campaign states Ensure MongoDB schemas support workflow state and auditability. Ensure onboarding flows correctly into campaign creation, asset generation, and calling logic. Support integrations with GoHighLevel or similar CRMs. Frontend Ownership Maintain and improve the SaaS dashboard UI (React or similar). Fix UX-breaking issues that block onboarding or usage. You don't need to be a designer, but things must work and make sense. Documentation & Knowledge Transfer Create clear, usable documentation: architecture overview deployment steps core workflows integration points Leave the platform understandable to the next engineer. Migration Phases & Expectations This role operates in three phases: Pre-Migration Audit Review the system and deliver a written readiness and risk assessment. Migration & Handover Validate the transfer of code, workflows, and infra. Post-Migration Stabilization & Development Stabilize the platform and build required integrations. Within the first 10 business days, you are expected to provide a clear recommendation: stabilize as-is, partial rebuild, or full rebuild — with risks and timelines. Required Skills (Non-Negotiable) Backend & Systems Strong experience with Node.js or Python (at least one deeply). Experience building and maintaining production APIs. Comfortable with async systems, queues, retries, and failure handling. Databases MongoDB (required). Experience with Postgres / Supabase is a strong plus. Ability to design schemas for workflow state and logs. Integrations OAuth2, webhooks, retries, idempotency, rate limits. Experience integrating third-party platforms reliably. AI Systems Practical experience shipping AI-powered features. Experience managing inconsistent outputs and failures. Familiarity with AI orchestration tools (Langflow, LangChain, etc.). Telephony Experience with Twilio, Telnyx, or similar. Understanding of real-time event-driven systems. Cloud & DevOps AWS (EC2, S3, IAM, basic networking). Docker. CI/CD fundamentals. Security & SaaS Fundamentals Multi-tenant systems. RBAC and tenant isolation. Secrets management. Vendor Takeover & QA Experience inheriting third-party-built systems. Ability to review, validate, and challenge vendor-delivered code. Comfortable blocking handovers when quality is not acceptable. Nice to Have Experience stabilizing MVPs into production systems. Experience working directly with founders. Experience preparing platforms for scale. What This Role Is NOT Not a junior role. Not a frontend-only or backend-only role. Not a research or experimentation role. Not a role with perfect specs or clean handoffs. Benefits Early ownership role with direct impact on a live AI-powered platform High autonomy: you will own technical decisions and execution, working closely with leadership Clear growth path into a lead engineering role as the platform and team scale Equity / stock options available for the right candidate after initial onboarding Meaningful production work across AI workflows, telephony, CRM, and SaaS infrastructure Fully remote, outcome-focused environment Starting compensation from $2,500/month, with reviews tied to platform stability and growth This role is best suited for a senior engineer who enjoys taking ownership, stabilizing complex systems, and growing into technical leadership.
Lead Platform Owner (Migration, Stabilization & Integrations) Remote | Full-time preferred (strong part-time with ramp acceptable) The Mission You will take ownership of an existing AI-powered SaaS platform (D50 AI), audit it, migrate it away from a third-party vendor, stabilize it, and make it safe for real users. This is not a greenfield build. This is not a ticket-based role. This is not a research or prompt engineering position. You will inherit: an imperfect codebase, partial documentation, multiple AI, telecom, and CRM integrations, and a platform that must be stabilized before it can scale. Your job is to bring order, reliability, and ownership not to rewrite everything or chase shiny features. If you enjoy untangling systems, holding vendors accountable, and turning chaos into something dependable, this role fits. If you need perfect specs and clean handoffs, it does not. Requirements What You'll Be Responsible For Vendor Handover, QA & Migration Oversight (CRITICAL) Perform a technical audit of the existing platform before and during migration. Review code quality, architecture, workflows, and integrations. Identify broken, incomplete, or unstable components before payment milestones. Clearly flag issues that must be fixed by the current vendor to achieve a clean handover. Protect the company from paying for unstable or incomplete systems. Support and validate the migration to Division50-owned infrastructure. Confirm that delivered code actually runs and matches expected functionality. You are expected to push back when things are not production-ready. Platform Ownership & Stabilization Take full technical ownership of the D50 AI platform. Understand the architecture end-to-end: frontend, backend, AI workflows, databases, and integrations. Fix reliability issues, broken flows, and silent failures. Make the platform safe to onboard real users without constant breakage. Infrastructure, Deployment & Observability Own environments and deployments (AWS or equivalent). Ensure proper separation of dev / staging / production. Set up logging, monitoring, and basic alerting. Introduce visibility into failures (no silent errors). Optimize cloud costs so unit economics remain sane. AI Orchestration & Model Integrations You will work hands-on with: OpenAI (text, image generation) ElevenLabs / Cartesia (voice generation) Deepgram (speech-to-text) HeyGen or similar (video generation) AI orchestration tools (Langflow or equivalent) You are not expected to invent new models. You are expected to: wire them correctly, handle failures and retries, validate outputs, and ensure predictable behavior. Telephony & Real-Time Systems Own integrations with Telnyx and/or Twilio. Understand call flows, call states, retries, recordings, and dispositions. Ensure calls, transcripts, and outcomes are logged and debuggable. Make AI caller behavior stable enough for paying customers. CRM, Campaign & Workflow Logic Maintain and improve CRM-related logic: leads activities call and email logs campaign states Ensure MongoDB schemas support workflow state and auditability. Ensure onboarding flows correctly into campaign creation, asset generation, and calling logic. Support integrations with GoHighLevel or similar CRMs. Frontend Ownership Maintain and improve the SaaS dashboard UI (React or similar). Fix UX-breaking issues that block onboarding or usage. You don't need to be a designer, but things must work and make sense. Documentation & Knowledge Transfer Create clear, usable documentation: architecture overview deployment steps core workflows integration points Leave the platform understandable to the next engineer. Migration Phases & Expectations This role operates in three phases: Pre-Migration Audit Review the system and deliver a written readiness and risk assessment. Migration & Handover Validate the transfer of code, workflows, and infra. Post-Migration Stabilization & Development Stabilize the platform and build required integrations. Within the first 10 business days, you are expected to provide a clear recommendation: stabilize as-is, partial rebuild, or full rebuild with risks and timelines. Required Skills (Non-Negotiable) Backend & Systems Strong experience with Node.js or Python (at least one deeply). Experience building and maintaining production APIs. Comfortable with async systems, queues, retries, and failure handling. Databases MongoDB (required). Experience with Postgres / Supabase is a strong plus. Ability to design schemas for workflow state and logs. Integrations OAuth2, webhooks, retries, idempotency, rate limits. Experience integrating third-party platforms reliably. AI Systems Practical experience shipping AI-powered features. Experience managing inconsistent outputs and failures. Familiarity with AI orchestration tools (Langflow, LangChain, etc.). Telephony Experience with Twilio, Telnyx, or similar. Understanding of real-time event-driven systems. Cloud & DevOps AWS (EC2, S3, IAM, basic networking). Docker. CI/CD fundamentals. Security & SaaS Fundamentals Multi-tenant systems. RBAC and tenant isolation. Secrets management. Vendor Takeover & QA Experience inheriting third-party-built systems. Ability to review, validate, and challenge vendor-delivered code. Comfortable blocking handovers when quality is not acceptable. Nice to Have Experience stabilizing MVPs into production systems. Experience working directly with founders. Experience preparing platforms for scale. What This Role Is NOT Not a junior role. Not a frontend-only or backend-only role. Not a research or experimentation role. Not a role with perfect specs or clean handoffs. Benefits Early ownership role with direct impact on a live AI-powered platform High autonomy: you will own technical decisions and execution, working closely with leadership Clear growth path into a lead engineering role as the platform and team scale Equity / stock options available for the right candidate after initial onboarding Meaningful production work across AI workflows, telephony, CRM, and SaaS infrastructure Fully remote, outcome-focused environment Starting compensation from $2,500/month, with reviews tied to platform stability and growth This role is best suited for a senior engineer who enjoys taking ownership, stabilizing complex systems, and growing into technical leadership.