Easygenerator jobs

<p>What you'll be doing Design, develop, and deliver AI-powered features in Sana Commerce agents that act on real commerce data (catalog, pricing, inventory, orders) Work with modern LLM frameworks and toolchains (e.g. any of Lang*, AWS Bedrock, MS Foundry, Cloudfare Agents, etc )[VL1.1] to build RAG systems, AI Agents, and dynamic workflows while understanding the raw agentic loop underneath them Work in a cross-functional team (Engineering, Product, Design) to integrate AI seamlessly into a distributed product Apply solid AI engineering principles end to end, from context and tool design through evaluation, deployment and continuous improvement Build the eval and feedback loops that gate releases: curated datasets, metrics and thresholds that block a regression the way a failing test does Design for failure by building the recovery path before the happy path Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines Stay on top of emerging AI tools and frameworks, helping shape the vision and roadmap of Sana Commerce</p><p><strong>Desired Candidate Profile</strong></p><p>Proven commercial experience building and deploying production-grade AI applications. 4+ years of web application engineering experience Strong software engineering (back-end, front-end nice to have) and SDLC fundamentals (design patterns, SOLID principles, experience with building complex MACH systems, CI/CD, testing) Apply strong backend and system design principles to ensure deterministic behaviour where needed, clear failure handling, human-in-the-loop controls, and production readiness. Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations Hands-on experience with RAG pipelines, agents, and Vector Stores and the judgement to know when retrieval is the wrong tool Familiarity with LLMOps practices, monitoring, evaluation, and feedback loops. Has built real evals that are tied to business impact dataset, metrics, thresholds and can name the regression they caught Cost and latency literacy can say what a run costs and how to halve it Strong working knowledge of Cloud technologies Ready to build reliability that scales? Apply now and help shape the foundation of our next-generation SaaS platform.</p>

About Easygenerator<br><br>Easygenerator is an award-winning EdTech scale-up trusted by global brands like Kellogg's, T-Mobile, and Siemens. We simplify knowledge sharing through our powerful Saa S authoring tool, and as we grow internationally, our finance operations are evolving to match our scale.<br><br>We're looking for an Accounts Receivable Accountant who combines strong collections instincts with a process improvement mindset, someone ready to own the receivables cycle end to end and make a real impact on how we manage cash flow at scale.<br><br>What you'll be doing<br><br> Chase outstanding payments and overdue invoices, proactively following up with clients to ensure timely collection. Upload and manage invoices on client portals, ensuring accurate and timely submission per client requirements. Chase and follow up on purchase orders from clients to enable invoicing and unblock payment delays. Liaise directly with clients to resolve payment issues, billing discrepancies, and account queries. Support day-to-day accounting activities, including journal entries, AP/AR, and bank reconciliations across multiple entities. Analyze P&L and balance sheets, contributing to accurate month-end financial reports. Handle purchase and sales deferments, intercompany billing, and subscription accounting schedules. Apply knowledge of transfer pricing requirements, VAT return filings, and group accounting. Maintain and reconcile accounting schedules (prepayments, accruals, deferrals). Support monthly close, audits, and compliance. Work with large datasets and apply advanced Excel formulas for financial analysis, including AR aging and collections tracking. Identify process gaps and implement automation or internal controls to improve accuracy and efficiency in the receivables process. Use Stripe for payment reconciliations and subscription tracking.<br><br>What you'll bring<br><br> Bachelor's degree in Accounting or Finance (ACCA or CPA in progress is a plus). 5+ years of accounting experience, with a strong, hands-on focus on accounts receivable, collections, or credit control — not just AP or general ledger background. Proven experience chasing payments, managing purchase orders, and liaising directly with clients on billing and payment matters. Comfortable owning client-facing conversations around payment and billing issues — soft skills matter here as much as technical skills. Familiarity with client invoicing portals. Strong understanding of subscription-based revenue and accounting schedules; Saa S background is a strong plus. Advanced Excel skills (pivot tables, lookups, IF formulas) and comfort working with large datasets. Excellent communication and interpersonal skills for effective client liaison. Detail-oriented, proactive in process improvement, with a sense of ownership over the work produced.<br><br>Nice-to-haves<br><br> Microsoft Dynamics 365 Business Central Stripe ACCA / CPA Exposure to VAT filings, transfer pricing, or group/intercompany accounting<br><br>Why you'll love working with us<br><br> Join a fast-growing, international Saa S company where finance drives global scalability. Real ownership of the receivables cycle, with direct visibility into cash flow impact. Exposure to multi-entity accounting operations and subscription billing at scale. Collaborative, innovative, and supportive team culture. Hybrid and flexible work setup in Alexandria.<br><br>Ready to join us?<br><br>If you're ready to be part of a dynamic, global team where your work directly contributes to the growth of a leading EdTech Saa S company, we'd love to hear from you!

<p>Data Pipeline Development &amp; Infrastructure Design, build, and maintain scalable data pipelines Develop real-time and batch data processing frameworks for structured and unstructured data. Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance . Optimize data storage and retrieval of data in (near) real time and batch processes Ensure cost-efficient and high-performance data infrastructure that scales with business needs. Data Solutions &amp; AI-Driven Applications develop data pipelines for ML recommenders, search functionality, and AI-enhanced features . Develop and maintain data models, APIs, and integrations to support analytics and customer applications. Support eCommerce-related data solutions , including product recommendations, customer segmentation, and personalization models. Collaboration &amp; Continuous Improvement Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions. Monitor and troubleshoot performance issues , ensuring high availability and efficiency of data pipelines. Continuously optimize cost, performance, and scalability of data engineering solutions.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications</h2><ul><li>5+ years of experience as a Data Engineer , working with Azure and Databricks</li><li>Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing .</li><li>Experience in big data technologies, and large-scale data storage .</li><li>Familiarity with data governance, security, and compliance best practices and tools</li><li>Proficiency in Python, and SQL, for data transformation, data quality and automation.</li><li>Strong experience in optimizing data performance and cost-efficiency in cloud environments .</li></ul><h2>Nice to Have</h2><ul><li>Experience with eCommerce data solutions , such as customer segmentation, recommendation engines, and personalization models.</li><li>Knowledge of event-driven architectures, streaming data processing, and real-time analytics .</li><li>Familiarity with LLM-based AI applications and OpenAI or similar APIs .</li></ul>

<p><b>What you'll be doing</b></p><p>Designing and maintaining data pipelines optimized for ML/AI workloads , including handling of large-scale, unstructured, and semi-structured data.</p><p>Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.</p><p>Collaborating with Data Scientists and ML Engineers to understand data requirements for training, validation, and production deployment .</p><p>Ensuring data quality, lineage, and governance meet standards required for AI/ML applications.</p><p>Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows.</p><p>Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing .</p><p>Why you ll love working here</p><p>Impact from day one</p><p>Join a scale-up where your ideas shape how global businesses operate online.</p><p>Continuous learning</p><p>Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</p><p>Hybrid flexibility</p><p>Work from our office 3 days per week and from home 2 days.</p><p>Career growth</p><p>Expand your technical and leadership scope in a company built for long-term success.</p><p>Our values</p><p>At Sana Commerce, our values drive everything we do:</p><p>Champions of Our League</p><p>We deliver lasting success, balancing quick wins and long-term value</p><p>Supercharge Our Customers</p><p>We re revolutionizing B2B commerce together, helping our customers to lead and succeed.</p><p>Determined to Grow</p><p>We embrace challenges, growing and raising the bar for ourselves and our industry.</p><p>Bold Together</p><p>We dare to be bold because we have each other s back.</p><p>Ready to build reliability that scales? Apply now and help shape the foundation of our next-generation SaaS platform.</p><p><strong>Desired Candidate Profile</strong></p><p>What you bring</p><p>5+ years of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to ML/AI-related data workflows .</p><p>College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;</p><p>Excellent analytical and problem-solving skills;</p><p>Experience with data preparation for ML/AI : managing large datasets, feature engineering, and real-time or batch data pipelines.</p><p>Familiarity with MLOps concepts and how data engineering supports model lifecycle management.</p><p>Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for complex ML pipelines .</p><p>Knowledge of unstructured data processing (text, images, logs) is a plus.</p><p>Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.</p>

<p>What you'll be doing Designing and maintaining data pipelines optimized for ML/AI workloads , including handling of large-scale, unstructured, and semi-structured data. Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models. Collaborating with Data Scientists and ML Engineers to understand data requirements for training, validation, and production deployment . Ensuring data quality, lineage, and governance meet standards required for AI/ML applications. Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows. Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing .</p><p><strong>Desired Candidate Profile</strong></p><p>5+ years of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to ML/AI-related data workflows . College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar; Excellent analytical and problem-solving skills; Experience with data preparation for ML/AI : managing large datasets, feature engineering, and real-time or batch data pipelines. Familiarity with MLOps concepts and how data engineering supports model lifecycle management. Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for complex ML pipelines . Knowledge of unstructured data processing (text, images, logs) is a plus. Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Data Pipeline Development &amp; Infrastructure Design</strong></p><ul><li>Build, and maintain scalable data pipelines</li><li>Develop real-time and batch data processing frameworks for structured and unstructured data.</li><li>Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance .</li><li>Optimize data storage and retrieval of data in (near) real time and batch processes</li><li>Ensure cost-efficient and high-performance data infrastructure that scales with business needs.</li></ul><p><strong>Data Solutions &amp; AI-Driven Applications</strong></p><ul><li>Develop data pipelines for ML recommenders, search functionality, and AI-enhanced features .</li><li>Develop and maintain data models, APIs, and integrations to support analytics and customer applications.</li><li>Support eCommerce-related data solutions , including product recommendations, customer segmentation, and personalization models.</li></ul><p><strong>Collaboration &amp; Continuous Improvement</strong></p><ul><li>Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions.</li><li>Monitor and troubleshoot performance issues , ensuring high availability and efficiency of data pipelines.</li><li>Continuously optimize cost, performance, and scalability of data engineering solutions.</li></ul><p>At Sana Commerce we're committed to an inclusive environment and recognize that our diverse work orce is one of our greatest strengths. It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We re a fast-growing SaaS company that allows you to take ownership of your career. We are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure . You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and contribute to AI/ML-powered solutions that drive internal decision-making and customer-facing insights. This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL . You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences .</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years of experience as a Data Engineer , working with Apache Spark or bySpark.</li><li>Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing .</li><li>Experience in big data technologies, and large-scale data storage .</li><li>Familiarity with data governance, security, and compliance best practices and tools</li><li>Proficiency in Python, and SQL, for data transformation, data quality and automation.</li><li>Strong experience in optimizing data performance and cost-efficiency in cloud environments .</li><li><strong>Nice to Have</strong></li><li>Experience with eCommerce data solutions , such as customer segmentation, recommendation engines, and personalization models.</li><li>Knowledge of event-driven architectures, streaming data processing, and real-time analytics .</li><li>Familiarity with LLM-based AI applications and OpenAI or similar APIs .</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Analyst, you'll play a key role in supporting Finance and the wider business with reliable reporting and meaningful insights. You'll improve existing reports, build new dashboards, and help stakeholders understand the story behind the numbers. Reporting &amp; Analytics Build, maintain and improve Power BI dashboards and reports for Finance and other business functions. Deliver reporting on key business metrics such as ARR, MRR, profitability, ROI and customer performance. Translate business questions into clear reports and visualizations that support data-driven decision making. Continuously improve existing reports by making them more user-friendly, accurate and actionable. Data Management Build and maintain data models using Power Query. Combine and transform data from multiple business systems, including Microsoft Dynamics 365 Business Central, CRM and billing platforms. Ensure reporting is based on consistent, reliable and well-understood data. Act as the technical owner of Microsoft Dynamics 365 Business Central within Finance, supporting reporting improvements, system enhancements, and data quality initiatives. Work closely with IT and Data Engineering to understand data sources and improve data quality where needed. Business Partnering Collaborate with Finance, Customer Success and other departments to understand reporting needs. Explain calculations, KPIs and data sources to business stakeholders in a clear and accessible way. Support ad hoc analyses and provide insights that help improve business performance. Stay curious about new technologies, including Microsoft 365 Copilot and AI-powered productivity tools, and explore how they can help simplify Finance workflows.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience as a Data Analyst, BI Analyst or in a similar analytics role. Strong hands-on experience with both Power BI and Power Query is required. Experience working with financial or operational reporting. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central. Strong analytical skills and the ability to translate complex data into meaningful business insights. (Near) native English and excellent communication skills with the confidence to explain reports, calculations and data to non-technical stakeholders. A proactive mindset with the ability to work independently and take ownership of reporting.</p><p></p></section>