Factory Manager Jobs - Mount Lebanon Lebanon

<p><h4>Description<\/h4>\n<p><strong>Reports to:<\/strong> Executive Assistant<br>\n<strong>Location:<\/strong> Remote (International)<br>\n<strong>Compensation:<\/strong> $500 \u2013 $750\/month<br>\n<strong>Level:<\/strong> Entry-level<\/p>\n\n<p><strong>Please read this full job post before you apply:<\/strong><\/p>\n<p>Do you thrive on solving problems and figuring out the possible... and impossible?<br>\nDo you like to research tried and true solutions on the web and then adapt those solutions to make anything you do more optimal, efficient, and doable?<br>\nYou'll read web pages, books, watch videos... whatever it takes... to gain what you need to quickly solve a problem. Every day.<br>\nThat's just who you are and how you get stuff done.<br>\nThen this might be the perfect position for you.<\/p>\n\n<h4>Role<\/h4>\n<p>We are hiring a Virtual Admin Assistant to support our EA & Talent Acquisition Lead as a direct proxy. This is a high-trust, high-accountability support role. You will be plugged into the operational backbone of a fast-moving agency and expected to learn quickly, execute reliably, and grow into broader ownership over time.<\/p>\n<p>This role sits at the intersection of Executive Operations, HR & Talent Acquisition, Finance Administration, and Property Management. Your goal over 90 days is to absorb every task and process so that you can handle them independently \u2014 freeing the EA to lead on CEO strategy and Talent Acquisition.<\/p>\n\n<h4>Responsibilities<\/h4>\n<p><strong>Executive & Administrative Operations<\/strong><\/p>\n<ul>\n<li>Manage G-Drive: organize folders, name documents correctly, maintain version control<\/li>\n<li>Update and maintain the Asana Operations Task Board \u2014 keeping all tasks current, correctly categorized, and properly assigned<\/li>\n<li>Coordinate system access: set up and revoke tool access (Fathom, ClickFunnels, QuickBooks, etc.) as directed<\/li>\n<li>Handle QuickBooks Online admin tasks: send documents to Unloop, organize financial records, basic data entry<\/li>\n<li>Insurance admin: tracking renewals, coordinating paperwork, flagging upcoming deadlines<\/li>\n<\/ul>\n\n<p><strong>Finance & Data<\/strong><\/p>\n<ul>\n<li>Calculate and track the CEO's time burn rate by category based on calendar and briefing data<\/li>\n<li>Build and maintain Google Sheets trackers for financial tracking, expense logging, and reporting<\/li>\n<li>Support coordination: scheduling, note-taking, task follow-up with external stakeholders<\/li>\n<li>Assist with bank account reconciliation tracking and flagging discrepancies<\/li>\n<\/ul>\n\n<p><strong>HR & Talent Acquisition Support<\/strong><\/p>\n<ul>\n<li>Filter and screen resumes in Workable: move candidates through stages, apply the Priority Funnel, flag qualified applicants<\/li>\n<li>Conduct phone screens when the EA is unavailable \u2014 following scripted criteria and submitting written evaluations<\/li>\n<li>Maintain and update the weekly TA reporting tracker: Time to Hire, Cost per Hire, Pipeline Health scores<\/li>\n<li>Help run MVP calls: prep notes, send follow-ups, log outcomes in Asana<\/li>\n<li>Coordinate with hiring managers: send interview links, schedule WHO interviews, follow up on feedback<\/li>\n<li>Support onboarding and offboarding logistics: send system access checklists, track form completion<\/li>\n<\/ul>\n\n<p><strong>Property Management Support<\/strong><\/p>\n<ul>\n<li>Track rental income and flag any delinquencies within 48 hours<\/li>\n<li>Coordinate with third-party vendors (landscapers, contractors, plumbers): get quotes, schedule visits, confirm completion<\/li>\n<li>Log all maintenance expenses in Stessa with receipts within 48 hours of purchase<\/li>\n<li>Monitor utility bills across all 4 properties and flag upcoming due dates 7 days in advance<\/li>\n<li>Assist with property documentation: refinancing paperwork, insurance coordination, lease renewals<\/li>\n<\/ul>\n\n<h4>Who Are We?<\/h4>\n<p>Client Accelerators is the \"go to\" company for coaches, consultants, experts, and authors who want to achieve sustained growth through paid acquisition channels like YouTube, Facebook, TikTok, and Google.<\/p>\n<p>We were the 207th fastest growing company on the Inc 5000 list last year, and have had record growth for an advertising agency, growing an incredible 2,574% over the past 3 years.<\/p>\n<p>We\u2019ve been able to have this record growth because of the incredible results we\u2019ve been able to get for our clients, which has allowed us to speak on stages all over the world on our strategies and tactics to doubling, tripling or even 10x their profits by working with us.<\/p>\n<p>We take a hands-on approach to growing each client we bring in by scripting all of their creatives, video production, tracking, and running their ads on these channels to hit agreed upon targets.<\/p>\n<p>Our proven approach has allowed us to spend over $150 million and generate over $300 million in verified sales in the past 5 years. Currently, our company is focused on founder-led businesses across the e-learning, SaaS, and service-based internet space.<\/p>\n<p>We believe great people are at the center of every successful business. Employees are provided a full suite of benefits, including competitive compensation, healthcare, unlimited paid time off, and access to world-class training material.<\/p>\n<p>What makes Client Accelerators so different? For one, our founder, Mike Buontempo, is a consultant himself, who has been consulting with different companies and entrepreneurs for the past 13 years.<\/p>\n<p>Our vision is to attract and hire the very best people to help our clients grow profitably and systematically through paid media.<\/p>\n\n<h4>Client Accelerators Core Values<\/h4>\n<ul>\n<li>We are problem solvers: If you spot a problem in our company or a client\u2019s company, provide a solution. There are millions of problems, and not as many problem solvers, be the solution.<\/li>\n<li>Open Source Code: We share what\u2019s working with everyone.<\/li>\n<li>Empty The Bucket: Picture this, if you just spent two hours cleaning your car, you put all of the cleaning materials away, but you notice you missed a spot. What do you do? You go back, get everything back out, and complete the job to perfection.<\/li>\n<li>We\u2019re a \u201cTEAM\u201d not a family: Leaders at CA hire, develop, and cut smartly, so we have superstars at every position.<\/li>\n<li>Ownership Thinking: Going out of your way to make sure your actions and the actions of your peers are in the best interest of the company.<\/li>\n<li>Being The Best: Mastering your domain so you\u2019re the best in the world at it.<\/li>\n<\/ul>\n\n<h4>Requirements<\/h4>\n<ul>\n<li>1-2 years of experience in administrative, operations, or coordination support roles<\/li>\n<li>Extremely organized \u2014 you don't let things fall through the cracks<\/li>\n<li>Detail-oriented \u2014 you double-check your work before submitting<\/li>\n<li>Strong written communicator \u2014 you write clearly and professionally in English<\/li>\n<li>Comfortable with Google Sheets \u2014 you can build simple trackers, use formulas, and present data cleanly<\/li>\n<li>Proactive \u2014 you flag issues before they become problems and suggest solutions<\/li>\n<li>Discreet \u2014 you will handle sensitive financial, HR, and personal data; confidentiality is non-negotiable<\/li>\n<li>Self-managed \u2014 you can prioritize and execute without constant hand-holding<\/li>\n<li>Quick learner \u2014 you document processes and replicate them independently after being shown once<\/li>\n<\/ul>\n\n<h4>Tools You\u2019ll Work With<\/h4>\n<ul>\n<li>Asana \u2014 task and project management<\/li>\n<li>Google Workspace (Docs, Sheets, Drive, Gmail, Calendar)<\/li>\n<li>Workable \u2014 applicant tracking system<\/li>\n<li>Stessa \u2014 property financial tracking<\/li>\n<li>QuickBooks Online \u2014 basic financial data entry<\/li>\n<li>Slack \u2014 team communication<\/li>\n<li>Fathom \/ Zoom \u2014 meeting recording and coordination<\/li>\n<\/ul>\n\n<h4>What Success Looks Like in 90 Days<\/h4>\n<ul>\n<li>You own G-Drive maintenance, Asana Ops Task Board, and access coordination without reminders<\/li>\n<li>You can screen resumes and submit evaluations in Workable independently<\/li>\n<li>You have logged 100% of property expenses in Stessa on time for two consecutive months<\/li>\n<li>The EA has offloaded 30+ hours\/week of tasks to you and trusts you to handle them without supervision<\/li>\n<li>Zero missed deadlines on any assigned task<\/li>\n<\/ul>\n\n<h4>Benefits<\/h4>\n<ul>\n<li>Unlimited PTO<\/li>\n<li>Great career growth opportunity - You\u2019ll be working with \u201cA\u201d players in Operations, Sales, Creative, and Media Buying<\/li>\n<li>Clear growth path<\/li>\n<\/ul><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>