Aspire Software jobs

<p>Invoice &amp; Billing Administration</p><p>Prepare and dispatch monthly invoices (PDF review, quality check, send) via Invoiced</p><p>Create and upload invoices to external customer-specific portals as required</p><p>Maintain and update internal billing trackers (e.g. recurring revenue, non recurring revenue) after invoicing</p><p>Complete weekly and monthly post-invoicing documentation in line with internal AR processes</p><p>Project Billing Support</p><p>Create and maintain Jira tickets for project billing tasks and documentation</p><p>Support monthly Professional Services billing cycles</p><p>Data &amp; System Maintenance</p><p>Maintain customer master data in NetSuite (address updates, contact changes, account corrections)</p><p>Perform routine Jira ticket creation and linking for billing todos and operational tasks</p><p>Support regular data queries and quarterly reporting updates across internal systems</p><p>General Operational &amp; Administrative Support</p><p>Support file server organisation and clean-up tasks</p><p>Accounts Payable (AP) Support</p><p>Basic Tasks only when required due to team sickness or vacation</p><p>Provide general support to Accounts Payable activities as needed</p><p>Assist in processing and reviewing supplier invoices</p><p>Support verification of invoice details (amounts, references, approvals)</p><p>Help prepare data for payment runs and maintain payment trackers</p><p>Assist with basic reconciliation checks between systems and invoices</p><p>Support communication with vendors regarding invoice status when required</p><p>Maintain accurate supplier and payment-related data in internal systems</p>

<p>Aspire Software is looking for a Systems Integration Lead - to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the Role The Finance Integrations Lead plays a key leadership role in onboarding newly acquired companies onto Valsoft s centralized Oracle NetSuite ERP and connected financial tools. This individual is responsible for owning and executing complete migration projects, from discovery to post-go-live, with minimal oversight. Reporting directly to the Group Head of Finance, the Finance Integrations Lead ensures the successful transition of legacy ERP systems and financial operations into the group standard environment, maintaining data integrity, compliance, and alignment with Valsoft s global finance processes. Key Responsibilities Lead end-to-end migration projects for newly acquired companies, including legacy ERP data migration and system configuration. Conduct discovery sessions to understand current-state processes and design future-state configurations within Oracle NetSuite and connected tools. Create and manage project plans, timelines, risks, and deliverables, ensuring on time and high-quality execution. Coordinate the migration of chart of accounts, vendors, customers, transactions, and balances from legacy ERPs into NetSuite. Lead configuration and deployment of core modules within NetSuite (e.g., GL, AP, AR, Fixed Assets, Bank Recs, etc.). Ensure integrations between NetSuite and connected systems (e.g., Salesforce, Oracle EPM) are aligned and functional. Standardize financial processes across acquired entities to align with group policies and reporting standards. Collaborate with accounting and finance teams to ensure business readiness for go-live and support month-end close activities post-migration. Serve as the primary point of contact for project stakeholders, including acquired company finance teams, internal technical resources, and group leadership. Present regular updates and recommendations to the Group Head of Finance and senior leadership. Document system configurations, process flows, and migration procedures for knowledge transfer and audit purposes. Contribute to the refinement of deployment methodologies and onboarding playbooks to drive scalability and efficiency.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Accounting, Finance, Information Systems, or a related field. CPA designation is a strong asset. 4+ years of experience in ERP migration, financial systems implementation, or post-merger integration. Hands-on experience with Oracle NetSuite (or equivalent ERP) including system configuration and data migration. Strong understanding of finance and accounting processes including multi-entity, intercompany, consolidation, and reporting structures. Proven ability to manage complex projects independently and communicate effectively with both technical and non-technical stakeholders. Detail-oriented with excellent analytical and organizational skills.</p>

<p>Lead and manage two employees supporting the Health and Dental portfolio.</p><p>Lead and manage two employees, providing technical direction, coaching, work prioritization and oversight of delivery.</p><p>Own AWS infrastructure, defined and managed through infrastructure as code.</p><p>Build and maintain CI/CD pipelines covering build, testing, security scanning and deployment.</p><p>Operate containerized production workloads, including health checks, rolling deployments and autoscaling.</p><p>Own backup and disaster recovery procedures, including regular restore testing.</p><p>Configure and maintain AWS load balancers and Nginx.</p><p>Manage access controls, IAM policies and secrets, and coordinate vulnerability remediation.</p><p>Maintain monitoring and alerting, and lead calm, methodical incident response and troubleshooting.</p><p>Monitor and optimize cloud spending, making clear, reasoned tradeoffs between cost, reliability, security and operational effort.</p><p>Work closely with application teams to troubleshoot services, coordinate releases and address infrastructure dependencies.</p><p>Document operational procedures, maintain technical standards and promote knowledge sharing.</p><p>Hands-on AWS experience, including EC2, ECS, ECR, RDS, ACM, ALB/NLB, Secrets Manager, IAM, S3, CloudWatch and Cloud Map.</p><p>Strong Linux administration and troubleshooting skills.</p><p>Solid understanding of networking, including DNS, routing, firewalls, TLS and load balancing.</p><p>Experience managing infrastructure as code with Terraform and/or OpenTofu.</p><p>Experience with Docker, including building, maintaining and troubleshooting container images.</p><p>Working knowledge of Git and CI/CD platforms such as GitHub Actions, GitLab CI or equivalent.</p><p>Experience with DNS management, preferably Cloudflare.</p><p>Experience with monitoring and alerting tools such as Zabbix.</p><p>Familiarity with Jira or equivalent ticketing and work-management systems.</p><p>Ability to read unfamiliar application code, particularly Java/Spring and Node.js, to support troubleshooting.</p><p>Experience providing technical leadership and mentoring team members.</p><p><strong>Key Competencies</strong></p><ul><li>Operational judgment: Responds calmly to incidents, diagnoses issues systematically and communicates clearly.</li><li>Practical decision-making: Can explain infrastructure tradeoffs, including self-hosted versus managed services and when a temporary solution is appropriate or needs to be replaced.</li><li>Ownership: Takes responsibility for service reliability, security, recovery readiness and ongoing costs.</li><li>Cross-team collaboration: Works effectively with the teams building and releasing each service.</li><li>People leadership: Sets clear priorities, supports team development and encourages shared knowledge.</li></ul><p>Windows administration experience.</p><p>Experience with Microsoft Azure services.</p><p>Experience administering Microsoft 365, including email accounts.</p><p>Familiarity with employee onboarding and offboarding processes, including access provisioning and removal.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Hands-on AWS experience, including EC2, ECS, ECR, RDS, ACM, ALB/NLB, Secrets Manager, IAM, S3, CloudWatch and Cloud Map.</li><li>Strong Linux administration and troubleshooting skills.</li><li>Solid understanding of networking, including DNS, routing, firewalls, TLS and load balancing.</li><li>Experience managing infrastructure as code with Terraform and/or OpenTofu.</li><li>Experience with Docker, including building, maintaining and troubleshooting container images.</li><li>Working knowledge of Git and CI/CD platforms such as GitHub Actions, GitLab CI or equivalent.</li><li>Experience with DNS management, preferably Cloudflare.</li><li>Experience with monitoring and alerting tools such as Zabbix.</li><li>Familiarity with Jira or equivalent ticketing and work-management systems.</li><li>Ability to read unfamiliar application code, particularly Java/Spring and Node.js, to support troubleshooting.</li><li>Experience providing technical leadership and mentoring team members.</li></ul>

<p>About the job: This is not a role where you spend your week pulling reports people may or may not look at. We want someone who can get inside the business, understand how Sales, Customer Success, Marketing, Payments, and Finance operate, and turn messy data and manual processes into scalable systems. You will become one of the key owners of our revenue data and HubSpot environment, helping us understand what is happening across the customer lifecycle, improving how our teams operate, and building AI agents and automations that remove repetitive work. You will have significant freedom to identify problems and build solutions. What Success Looks Like In your first year, you will help us:</p><ul><li>Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments</li><li>Improve the accuracy, structure, and usability of HubSpot across the organization</li><li>Create a clear view of the entire revenue funnel, from lead through acquisition, onboarding, retention, expansion, and payments adoption</li><li>Reduce manual reporting and administrative work through automation</li><li>Build AI agents and workflows that make our teams faster and more effective; with a focus on go to market and reporting</li><li>Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis</li><li>Create trusted datasets and dashboards that leadership can use to make decisions quickly</li><li>Identify revenue opportunities and operational issues before someone has to ask</li></ul><p>What You ll Do Revenue Operations &amp; Analytics</p><ul><li>Build and maintain dashboards, reporting, and analytical models across the customer lifecycle</li><li>Partner with Sales, Customer Success, Marketing, Payments, and Finance to define and track meaningful KPIs</li><li>Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior</li><li>Help improve forecasting accuracy and pipeline management</li><li>Identify trends, bottlenecks, anomalies, and opportunities hidden within our data</li><li>Develop customer segmentation and cohort analysis to support GTM decisions</li><li>Translate business questions into clear analysis and actionable recommendations</li><li>Create scalable reporting rather than relying on manual spreadsheets and one-off analysis</li></ul><p>HubSpot Ownership &amp; RevOps</p><ul><li>Help own and continuously improve our HubSpot environment</li><li>Build and maintain workflows, properties, lifecycle stages, pipelines, reporting, and automation</li><li>Improve CRM data quality, governance, and consistency</li><li>Design processes that make HubSpot easier for Sales and Customer Success teams to use correctly</li><li>Connect HubSpot data with other business systems and datasets</li><li>Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes</li><li>Help establish scalable RevOps processes as the company grows</li></ul><p>AI Agents &amp; Automation</p><ul><li>Identify repetitive or manual workflows that can be automated</li><li>Build AI agents that can analyze information, perform tasks, and support business processes</li><li>Create workflows that combine AI models, internal data, APIs, and business applications</li><li>Experiment rapidly with new AI capabilities and turn useful prototypes into repeatable internal tools</li><li>Build agents for use cases such as research, account intelligence, reporting, data enrichment, customer insights, and internal operations</li><li>Measure whether automation actually saves time, improves accuracy, or drives better business outcomes</li><li>Help teams understand where AI is useful and where traditional automation or analytics is the better solution</li></ul><p>Data Quality &amp; Infrastructure</p><ul><li>Combine data from HubSpot and other business systems into consistent reporting</li><li>Help define our source-of-truth metrics and business definitions</li><li>Identify and resolve data quality issues</li><li>Work with Product and Engineering when deeper integrations or data infrastructure are required</li><li>Document key metrics, processes, workflows, and data definitions so systems can scale with the company</li></ul><p>2 5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</p><p>Strong hands-on experience with HubSpot</p><p>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</p><p>Strong SQL and data analysis skills</p><p>Experience building dashboards and reporting using BI or visualization tools</p><p>Advanced Excel or Google Sheets capabilities</p><p>Comfortable working with imperfect datasets and figuring out how to make them useful</p><p>Experience designing workflows and automating business processes</p><p>Ability to translate analysis into clear business recommendations</p><p>Strong curiosity and willingness to dig into how the business actually works</p><p>Comfortable operating in a fast-moving environment where not everything has already been built</p><p>AI &amp; Automation Experience We are specifically looking for someone who is excited about using AI as a practical business tool. You should have experience experimenting with or building solutions using some combination of:</p><ul><li>AI agents and agentic workflows</li><li>Large language models</li><li>APIs and webhooks</li><li>Workflow automation platforms</li><li>Python or JavaScript</li><li>Structured prompts and tool calling</li><li>Data enrichment and research automation</li><li>Connecting AI models to business applications and internal data</li></ul><p>You do not need to be an AI engineer. You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it.</p><p>You ll Thrive Here If</p><ul><li>You like building things from scratch</li><li>You are naturally curious about how businesses make money</li><li>You would rather solve the underlying problem than keep producing the same report every Monday</li><li>You are comfortable moving between data analysis, systems, automation, and business conversations</li><li>You ask good questions and challenge assumptions</li><li>You care about clean data but understand that real-world data rarely starts clean</li><li>You can explain complicated analysis without making it complicated</li><li>You enjoy experimenting with new technology and figuring out where it creates real value</li><li>You want ownership rather than a narrowly defined list of tasks</li></ul><p>What You ll Get</p><ul><li>A high-impact role with direct exposure to senior leadership</li><li>Significant ownership over analytics, RevOps, and automation projects</li><li>The opportunity to build systems and processes from the ground up</li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p>2 5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</p><p>Strong hands-on experience with HubSpot</p><p>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</p><p>Strong SQL and data analysis skills</p><p>Experience building dashboards and reporting using BI or visualization tools</p><p>Advanced Excel or Google Sheets capabilities</p><p>Comfortable working with imperfect datasets and figuring out how to make them useful</p><p>Experience designing workflows and automating business processes</p><p>Ability to translate analysis into clear business recommendations</p><p>Strong curiosity and willingness to dig into how the business actually works</p><p>Comfortable operating in a fast-moving environment where not everything has already been built</p><p>AI &amp; Automation Experience We are specifically looking for someone who is excited about using AI as a practical business tool. You should have experience experimenting with or building solutions using some combination of:</p><ul><li>AI agents and agentic workflows</li><li>Large language models</li><li>APIs and webhooks</li><li>Workflow automation platforms</li><li>Python or JavaScript</li><li>Structured prompts and tool calling</li><li>Data enrichment and research automation</li><li><br></li></ul>

<p>Primary responsibilities Own assigned customer issues from intake through resolution, including investigation, communication, escalation, testing, documentation, and follow-up. Conduct structured discovery with customers to clarify ambiguous requests, understand the underlying workflow, define the technical problem, and agree on what a successful result should accomplish. Triage software and data issues by reproducing reported behavior, reviewing application settings, examining records, reading logs and code, and identifying likely root causes. Resolve data discrepancies carefully and completely, including determining how the issue occurred and whether a broader correction or preventive change is needed. Learn to read and write code, queries, dictionaries, and support utilities in Keystone's Rocket UniVerse and MultiValue environment. Translate customer business needs into clear requirements, examples, acceptance criteria, and technical work for developers. Coordinate delivery across customers, product specialists, developers, and other technical resources, keeping the work moving and identifying decisions or blockers early. Support implementations, conversions, upgrades, annual processing, testing, and other customer projects. Test software changes and integrations using realistic business scenarios and confirm that fixes address the original issue without creating new problems. Help customers connect Keystone applications with other systems through file exchanges, APIs, imports, exports, and related integration processes. Support rollout and adoption by validating solutions in the customer's environment, explaining changes, monitoring early use, and addressing issues that emerge after deployment. Use AI-assisted tools responsibly to learn application behavior, summarize technical findings, develop test cases, improve documentation, and accelerate routine technical work while validating all output. Create and maintain useful internal documentation, troubleshooting guides, known-issue notes, and customer-facing instructions. Identify recurring issues and recommend improvements to software, processes, training, or documentation. Turn effective one-time solutions into repeatable support procedures, implementation checklists, test cases, utilities, or product recommendations.</p><p><strong>Desired Candidate Profile</strong></p><p>Professional experience in software support, application analysis, implementation, quality assurance, business systems, development, or a similar technical customer-facing role. Strong analytical skills and the persistence to work through incomplete information, difficult data, and issues that do not reproduce immediately. Enough coding or scripting experience to read application logic, understand data movement, and make or validate targeted technical changes. Ability to connect business processes to application behavior and explain technical issues clearly to customers and coworkers. Excellent spoken and written English, strong listening skills, and confidence working directly with customers. Demonstrated ownership, organization, attention to detail, and follow-through across issues that may require coordination among several people. Ability to work through ambiguity, make progress with incomplete information, and keep customers and internal teams aligned as the solution develops. Ability and willingness to learn mature technologies while also using newer tools and methods where they improve the work. Preferred experience Rocket UniVerse, UniData, or another MultiValue application environment. Business applications for school districts or local governments, particularly financial reporting, general ledger, purchasing, accounts payable, accounts receivable, payroll, tax billing and collection, utility billing, planning and zoning, or business licensing. Data conversion, reconciliation, imports, interfaces, report writing, or production data support. Software testing, release validation, implementation projects, or customer training. REST APIs, JSON, XML, secure file transfer, or other system-integration methods. School district, local government, or other public-sector operations.</p>

<p>You will build AI features end to end: the model or pipeline that produces the decision, the service that runs it, and the product surface where a revenue manager sees and acts on it. This is not a research role and it is not a pure app-dev role it is the bridge between them. Examples of what you'd own in your first year:</p><ul><li>Forecasting and rate-recommendation logic that feeds our auto-publish engine, including the guardrails that keep recommendations inside a property's tolerance</li><li>LLM-driven features: natural-language explanations of why a rate moved, conversational querying of a property's performance, automated market commentary</li><li>Rate-intelligence pipelines ingesting competitor rates, cleaning messy third-party data, and turning it into signals the model can trust</li><li>Evaluation harnesses and monitoring so we know when a model degrades before a customer does</li><li>The full-stack surface around all of the above: APIs, data models, and the UI that exposes them</li></ul><p>3 5 years building and shipping production software, with meaningful AI/ML work in that time</p><p>Strong Python; comfortable in TypeScript/JavaScript for the application layer</p><p>Hands-on experience with LLM APIs (Anthropic, OpenAI or similar) prompt design, structured output, tool use, retrieval, and the evaluation discipline to know whether any of it is working</p><p>Solid SQL and data modeling; you can reason about a schema and write queries that don't melt the database</p><p>Experience with at least one of: time-series forecasting, pricing/optimization models, or recommendation systems</p><p>Comfort with messy, incomplete, real-world data third-party feeds, inconsistent APIs, partial history</p><p>Cloud deployment experience and familiarity with modern CI/CD</p><p>Nice To Have:</p><ul><li>Hospitality, travel, pricing, or marketplace domain experience</li><li>Experience integrating with PMS, channel manager, or booking-engine APIs</li><li>Background in a small startup where you owned a system rather than a ticket queue</li></ul><p>How we work, and who succeeds here</p><p>We hire for ownership as much as for stack. The engineers who do well:</p><ul><li>Take technical ownership. You're handed a problem, not a spec. You decide what to build, flag the trade-offs, and are accountable for the result in production including when it breaks at an inconvenient hour.</li><li>Are intrinsically driven. Nobody will watch your calendar. You choose the right next thing to work on when the direction is ambiguous, and you finish things.</li><li>Communicate well asynchronously. Written updates that a busy reader can act on. You surface blockers early rather than going quiet. Clear, complete PR descriptions and issue comments.</li><li>Manage your own time zone. You're responsible for maintaining reliable overlap with the team and for being predictable about when you're reachable.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3 5 years building and shipping production software, with meaningful AI/ML work in that time</p><p>Strong Python; comfortable in TypeScript/JavaScript for the application layer</p><p>Hands-on experience with LLM APIs (Anthropic, OpenAI or similar) prompt design, structured output, tool use, retrieval, and the evaluation discipline to know whether any of it is working</p><p>Solid SQL and data modeling; you can reason about a schema and write queries that don't melt the database</p><p>Experience with at least one of: time-series forecasting, pricing/optimization models, or recommendation systems</p><p>Comfort with messy, incomplete, real-world data third-party feeds, inconsistent APIs, partial history</p><p>Cloud deployment experience and familiarity with modern CI/CD</p>

<p>Administer and improve AWS infrastructure across multiple accounts: EC2, RDS, S3, VPC/Transit Gateway, Route 53, Elastic Beanstalk, IAM/IAM Identity Center, CloudFormation, Systems Manager, CloudWatch, and CloudTrail. Plan and execute migrations between accounts, regions, and platforms with minimal customer disruption. Administer SQL Server on both RDS and EC2: backup/restore, upgrades, permissions, performance troubleshooting, and migration work. Manage Windows Server and IIS hosting, including SSL/TLS certificate lifecycle, bindings, and renewals. Write and maintain PowerShell and AWS CLI automation for recurring operational work. Build and maintain automated deployment processes for internal and customer-facing releases. Maintain and extend CloudFormation templates for repeatable, consistent resource provisioning. Investigate and resolve infrastructure incidents end to end and produce clear internal documentation and runbooks afterward. Monitor and report on cloud spend; identify and implement savings opportunities. Support security findings for remediation, access reviews, and evidence gathering for SOC 2. Interface directly with hosted customers during project deployments, networking and connectivity questions, and pre-sales technical discussions about our hosted platform. Provide escalation support to internal teams for infrastructure-related issues.</p><p><strong>Desired Candidate Profile</strong></p><p>2 3+ years of hands-on, direct AWS experience in a production environment day-to-day console and CLI work, not adjacent exposure through a managed provider. Working knowledge across core AWS services: EC2, VPC and networking, RDS, S3, IAM, CloudWatch, and at least one infrastructure-as-code or deployment tool. Solid Windows Server administration experience, including IIS. SQL Server administration experience: backups, restores, logins and permissions, and basic performance troubleshooting. Practical PowerShell scripting ability you can automate a repetitive task without turning it into a framework. Comfort with certificate management, DNS, and general network troubleshooting. Clear written communication. You'll document what you build and explain it to both engineers and non-technical stakeholders. Ability to work directly with customers professionally and calmly, including during incidents. Nice to Have Experience with AWS Control Tower, Landing Zone Accelerator, or multi-account organizational structures. Security Hub, GuardDuty, Inspector, or similar security tooling experience. Octopus Deploy, or comparable release automation (Azure DevOps, TeamCity, Jenkins). AWS cost management experience (Cost Explorer, budgets, Savings Plans/RIs). Exposure to SOC 2 or similar compliance programs. AWS certification (Solutions Architect Associate, SysOps Administrator, or equivalent). SaaS or MSP background where infrastructure directly serves external customers.</p>

<p>This role is for someone with a foundational technical skill set who is eager to build hands-on experience in solution delivery, data engineering, and cloud technologies within a compliance software environment. Working under the guidance of Senior Implementation Specialists and Solution Architects, you will support client implementations end-to-end from translating requirements into configured solutions, to building and testing data pipelines, to assisting with go-live and post-launch support. You will collaborate closely with Product, Engineering, Customer Success, and Professional Services teams, with regular mentorship and code/config review from senior team members. Strong technical background in software implementation, integrations, APIs, SQL, and data analysis. Good understanding of accounting principles and financial reporting concepts Ability to interpret financial data and translate business requirements into technical configurations and reporting solutions. Configure solutions to support financial reporting, budgeting, forecasting Support the design and deployment of AI-powered financial analytics, dashboards, and reporting solutions.</p><p><strong>Desired Candidate Profile</strong></p><p>Strong technical background in software implementation, integrations, APIs, SQL, and data analysis. Good understanding of accounting principles and financial reporting concepts Ability to interpret financial data and translate business requirements into technical configurations and reporting solutions. Configure solutions to support financial reporting, budgeting, forecasting Support the design and deployment of AI-powered financial analytics, dashboards, and reporting solutions.</p>

<p>Aspire Software is looking for a talented Intermediate Software Developer , you will be responsible for rebuilding legacy component into a modern, testable .net stack, enhancing IIS-based deployments for on-premise customers and contributing to DevOps maturity .</p><p>The role combines core software engineering with elements of forward-deployed engineering: working directly with customers and internal product experts, conducting technical discovery, scoping the right solution, building or adapting it, and carrying the work through deployment and adoption.</p><p>Primary responsibilities Read, maintain, troubleshoot, and extend code within Keystone's Rocket UniVerse and MultiValue ERP applications. Lead technical discovery for complex requests by examining the customer's workflow, data, existing systems, constraints, and definition of success. Own technical delivery from early prototype or proof of concept through design, development, testing, production rollout, stabilization, and customer adoption. Investigate complex application behavior and data issues across code, database structures, business rules, interfaces, and operational processes. Design and build reliable integrations with third-party systems using REST APIs, web services, secure file exchange, imports, exports, and other appropriate methods. Develop practical modernization approaches that improve maintainability, interoperability, security, and user experience without disrupting critical customer operations. Make sound tradeoffs among scope, speed, quality, maintainability, and customer impact, identifying risks and blockers early enough to protect delivery. Work directly with product and support staff, and at times with customers, to understand business needs and turn them into clear technical solutions. Create diagnostic utilities, conversion programs, data corrections, and repeatable automation for support and implementation needs. Review production issues, determine root causes, implement durable fixes, and communicate technical findings in language that non-developers can understand. Use AI-assisted development tools responsibly to accelerate investigation, code comprehension, prototyping, documentation, and testing while carefully validating accuracy and security. Document code, integrations, data structures, and operating procedures so that knowledge is shared across the team. Convert successful customer-specific solutions into reusable components, utilities, deployment patterns, and playbooks where practical. Bring field feedback to product and development discussions so recurring customer needs can influence application priorities and roadmaps. Provide technical guidance and collaborate with other developers and analysts on design, testing, deployment, and support.</p><p>What success looks like Within the first year, this person will be able to independently trace and resolve difficult application and data problems, make meaningful contributions in the UniVerse environment, and deliver or improve integrations with outside systems. The role will also reduce dependence on individual subject-matter experts by improving documentation, tools, and shared technical understanding.</p><p><strong>Desired Candidate Profile</strong></p><p>Substantial professional software development experience, ideally in enterprise applications, ERP systems, financial systems, payroll, public-sector software, or another transaction-intensive environment. Strong backend development and data problem-solving skills, including the ability to understand unfamiliar schemas, data relationships, indexes, and business rules. Experience integrating disparate systems and working with APIs, data exchanges, middleware, or ETL-style processes. Experience delivering technical work directly with customers or business stakeholders, including discovery, scoping, rollout, and post-deployment follow-through. Ability to diagnose problems in systems that span application code, data, interfaces, infrastructure, and user workflow. Experience working across more than one technology stack and a record of learning new languages, tools, or platforms when the work requires it. Clear written and verbal communication skills and the ability to work collaboratively with technical and nontechnical colleagues. Good judgment about production changes, data integrity, testing, security, and the risks of modifying long-standing business applications.</p><p>Preferred experience Rocket UniVerse, UniData, or another MultiValue database and development environment. UniVerse BASIC, dictionaries, file structures, indexing, query tools, and MultiValue data conventions. Modern web development, RESTful services, JSON, XML, authentication, and cloud or hosted application environments. Application modernization, legacy system integration, source control, automated testing, or DevOps practices. Business applications for school districts or local governments, particularly financial reporting, general ledger, purchasing, accounts payable, accounts receivable, payroll, tax billing and collection, utility billing, planning and zoning, or business licensing.</p>

<p>About the job: This is the horizontal role of the three Leads, and a standalone one same Lead level as the Support Operations Lead and Customer Success Lead, but leading a function, not a team. Where the Support Operations Lead owns support and the Customer Success Lead owns the customer journey, this Lead makes both run with less manual effort mapping their processes and automating them while owning installations and provisioning directly. What's already in place: an AI Tier 1 support layer that fronts all support, and early onboarding automation (e.g., the go-live billing hand-off). This role scales and deepens that across Operations. Flagship focus areas Customer Onboarding automate deal closed setup go-live: ticket creation, cross-system data sync, task orchestration, status tracking, and comms. (Partner: Customer Success Lead.) Installations &amp; Provisioning turn manual setup and configuration into scripted, repeatable, and where possible self-service processes. Enhance the AI Support Layer our support already runs through an AI Tier 1 layer. Extend and improve it: better resolution and deflection, smarter routing, and readiness for the new web PMS (new content, new workflows, new edge cases). (Partner: Support Operations Lead.)</p><p>What you'll do</p><ul><li>Set the automation &amp; AI roadmap for Operations prioritizing opportunities with the Director and the two other Leads by impact.</li><li>Map processes end-to-end and find where automation or AI fits.</li><li>Build the automations yourself API integrations across HubSpot, Zendesk, and internal tools; scripts (PowerShell / Python); scheduled jobs; and native workflows (HubSpot, Zendesk, Power Automate).</li><li>Automate installations scripted, templated, repeatable provisioning.</li><li>Advance the existing AI Tier 1 layer improve resolution/deflection, tune routing, and extend its coverage as the new web PMS rolls out.</li><li>Apply AI more broadly ticket triage/classification, data cleanup, drafting, and agent-style task automation using LLM tools (e.g., Claude).</li><li>Own data &amp; reporting make the impact visible: time saved, faster cycle times, fewer errors.</li><li>Work safely dry-runs, staging, idempotency, documentation, and clean handoff to IT for production.</li><li>Set the standard reusable patterns and lightweight governance so automations are reliable and maintainable, not one-off hacks</li></ul><p>Self-directed builder owns the roadmap and standards and executes them personally; comfortable being the sole driver of the function. Comfortable with REST APIs (auth, JSON, pagination, rate limits). Scripting in PowerShell and/or Python. Hands-on with a CRM or ticketing platform (HubSpot and/or Zendesk) and its automation tools. Experience building or tuning AI/LLM workflows (e.g., support automation, classification, agents). Process mapping sees where automation fits in a manual workflow. Solid data handling (CSV/Excel, matching/merging; SQL a plus). A test-first, careful mindset. Nice to have iPaaS / data-sync tools (HubSpot Data Sync, Zapier, Make). Scripted provisioning / deployment experience. Git, and a background in SaaS, hospitality tech, or support operations. Success looks like Onboarding and installations that largely run themselves. The AI support layer resolving more, routing better, and ready for the new web PMS. Reliable integrations that don't need babysitting. A measurable drop in manual work across Operations visible to leadership.</p><p><strong>Desired Candidate Profile</strong></p><p>Self-directed builder owns the roadmap and standards and executes them personally; comfortable being the sole driver of the function. Comfortable with REST APIs (auth, JSON, pagination, rate limits). Scripting in PowerShell and/or Python. Hands-on with a CRM or ticketing platform (HubSpot and/or Zendesk) and its automation tools. Experience building or tuning AI/LLM workflows (e.g., support automation, classification, agents). Process mapping sees where automation fits in a manual workflow. Solid data handling (CSV/Excel, matching/merging; SQL a plus). A test-first, careful mindset. Nice to have iPaaS / data-sync tools (HubSpot Data Sync, Zapier, Make). Scripted provisioning / deployment experience. Git, and a background in SaaS, hospitality tech, or support operations.</p>

<p>Aspire Software is looking for a Senior .NET/C# developer to join our team in Lebanon. About the Role: This is a very small team, and that shapes everything about the role. You'll have real autonomy and immediate impact and there's no one to hide behind: you will own what you ship, in a system that government departments depend on every day. For the right person that's the most interesting thing about the job. If it sounds like too much, it probably is and that's fine. This is not a ticket-taking role. You'll evaluate the platform, form strong opinions, and drive improvements to how it's built and how it feels to use. What you'd be working on The newest parts of the platform are an AI-driven workflow engine that uses LLMs to turn unstructured correspondence into structured data, and a set of recent .NET services built on current versions of the framework. Alongside them run several Spring Boot services on Java 21 handling authentication, search, document conversion and transport so some working knowledge of Java is needed. The core of the product is a mature ASP.NET/C# codebase MVC, Razor, jQuery, Kendo UI, SQL Server and Oracle with an older server-rendered administration area and a legacy reporting stack that we intend to replace. Modernizing these incrementally, without disrupting the organizations that depend on them, is a significant part of this role and one of the more interesting engineering problems here. We're also looking at how this platform evolves toward cloud delivery, and there'll be room to shape that. We're telling you this plainly because we'd rather you arrive knowing what the work actually is. If the idea of steadily improving a system that matters appeals to you more than starting from a blank page, this will suit you. We operate AI-first. Daily, hands-on use of AI-assisted tools (Claude Code, Cursor, GitHub Copilot) is a core requirement not to generate code blindly, but to design, implement and critically review production-quality work alongside your own technical judgment. What you'll do Build and improve features and services in .NET/C#. Modernize legacy components incrementally identify outdated patterns and propose concrete refactoring, with a realistic sense of what's worth changing and what isn't. Evaluate user workflows and interfaces, and reduce friction where the product doesn't serve users well. Write and maintain automated tests for what you ship. We have a substantial Playwright end-toend suite covering the web application and the service APIs; unit-test coverage in the .NET code is where the gap is, and closing it is part of the job. Contribute to the LLM workflow engine: understand how it uses LLMs, find its limits, and improve prompts, workflows and data-processing logic for better accuracy and reliability. Integrate APIs, messaging and third-party services. Take initiative step into problems before they're assigned and drive them to done. Share context early and keep the team in the loop. Solid, real-world experience shipping applications in .NET/C#; comfortable reading and improving large existing codebases. Hands-on experience with LLM-based systems prompt engineering, evaluating and improving model output, and building or maintaining LLM-driven workflows in production. Comfort in a server-rendered stack Razor, jQuery, Kendo and the patience to improve it step by step rather than rewrite it. Enough working knowledge of Java to understand and contribute to Spring Boot services. Good grasp of API design, backend services and relational databases. The habit of testing your own work comfortable with end-to-end tests, and willing to write the first unit tests for modules that have no coverage today. Practical software-design sense, and the judgment to know when to apply it. Strong communication and collaboration a must-have. You work well side by side with others and you're approachable. Fluent English, written and spoken a must-have. Mandatory: daily, hands-on use of AI-assisted dev tools to produce, review and ship production code. A bias toward improving systems rather than accepting them as-is, and comfort working with limited direction. How we work - Definition of done A change isn't done until it's tested. Every feature, fix or refactor ships with the automated tests that prove it works and guard against regressions. In a small team with no separate QA function, developers own the quality of what they deliver. Nice to have Experience taking an on-premise product toward cloud or SaaS delivery containerization, multi-tenancy, CI/CD pipelines, or cloud deployment (Azure preferred). Background in enterprise or government software compliance, auditability, accessibility. Front-end modernization experience, migrating legacy server-rendered UIs. Playwright experience.</p><p><strong>Desired Candidate Profile</strong></p><p>Solid, real-world experience shipping applications in .NET/C#; comfortable reading and improving large existing codebases. Hands-on experience with LLM-based systems prompt engineering, evaluating and improving model output, and building or maintaining LLM-driven workflows in production. Comfort in a server-rendered stack Razor, jQuery, Kendo and the patience to improve it step by step rather than rewrite it. Enough working knowledge of Java to understand and contribute to Spring Boot services. Good grasp of API design, backend services and relational databases. The habit of testing your own work comfortable with end-to-end tests, and willing to write the first unit tests for modules that have no coverage today. Practical software-design sense, and the judgment to know when to apply it. Strong communication and collaboration a must-have. You work well side by side with others and you're approachable. Fluent English, written and spoken a must-have. Mandatory: daily, hands-on use of AI-assisted dev tools to produce, review and ship production code. A bias toward improving systems rather than accepting them as-is, and comfort working with limited direction.</p>

<p>Answering Client support issues and working with clients via phone, connected session, and email. Troubleshooting: Analyzing bugs, resolving problems, and providing root cause analysis for errors Documentation and follow up: Recording issues using designated software tools, completing next steps, and following through resolutions. Communication: Providing technical expertise with Clients and being an excellent communicator, both written and verbal Collaboration: Building rapport and working with clients and others to engage clients. Interaction with: Quality Assurance, Development, Account management, other team members, and management Proactive improvements: Identifying and resolving potential issues before they become critical, and proposing improvements to enhance team effectiveness Building SQL queries for data analysis Helping write and optimize in-application SQL statements and queries Using data, generating and interpreting results to most accurately and quickly resolve issues Controlling data quality and providing remedial actions Assisting in the management of product provisioning, installation, and maintenance internally and with Clients Working with Clients to create, program, deploy, and test Client documents within the software application Preparing documentation and writing articles to publish in the client facing Knowledge Base Handling common database procedures such as upgrade, backup, recovery, and migration Performing application and database testing Becoming expert in the configuration and use of WeSuite software and supporting tools and systems</p><p><strong>Desired Candidate Profile</strong></p><p>3 years plus direct enterprise software application customer support Troubleshooting and resolution of issues SQL Server and database management Writing SQL queries Microsoft Windows environment Crystal Reports Use of Zendesk Skillsets Required: SQL Server and database management SQL queries Excellent communication skills both written and verbal Data interpretation Zendesk experience a plus</p>

<p>As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company.</p><h4><b><br></b></h4><h4><b>What You'll Do</b></h4><ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes.</li><li>Build and optimize data models, warehouses, and data lakes to support business and product analytics.</li><li>Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions.</li><li>Ensure data quality, integrity, governance, and observability across all systems.</li><li>Improve the performance, reliability, and scalability of our data platform.</li><li>Support real-time and batch data processing requirements</li><li>Develop and maintain documentation, standards, and best practices for data engineering.</li><li>Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems</li><li><br></li></ul><h4><b><br></b></h4><h4><b>Nice to Have</b></h4><ul><li>Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments.</li><li>Experience with real-time streaming technologies and event-driven architectures.</li><li>Familiarity with data governance, compliance, and security requirements in regulated industries.</li><li>Experience building customer-facing data products or analytics platforms.</li><li>Interest in or exposure to cybersecurity principles as they relate to data infrastructure (e.g., encryption at rest/in transit, access controls, secure data pipelines).</li></ul><h4><br></h4><p><strong>Desired Candidate Profile</strong></p>5 8 years of experience in Data Engineering, Analytics Engineering, or a related field. Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. Experience designing and maintaining modern data architectures and large-scale data pipelines. Advanced SQL skills and strong proficiency in Python or another relevant programming language. Experience with cloud data platforms and modern data stack technologies. Strong understanding of data modeling, warehousing concepts, and distributed data systems. Proven ability to work cross-functionally and communicate technical concepts to nontechnical stakeholders. Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. High attention to detail and a commitment to data quality and reliability. Strong knowledge of Snowflake, DBT, Airflow. Strong knowledge and skills in AI development with top LLMs.

<p>You will own how we reach the market across both our products: the website, the content, the social presence and the paid ads. You will sit with the Valsoft marketing team in Beirut, with peer marketers around you, and report directly to ServiceCentral's Managing Director. We are not hiring someone to do this work by hand. If you are still writing blog posts yourself, this is the wrong role. We want a marketer who reaches for Claude, Cowork or whatever comes next the moment a task repeats, builds the thing that does it, and moves on to the next problem. Manual is how a task starts here. It is not how it should still look a few weeks later. You will inherit an AI marketing pipeline we have part-built, along with our brand voice, positioning and competitive research. Treat it as a starting point. We expect you to replace it with something better, and you will have the MD building alongside you while you do.</p><h3>Responsibilities</h3><ul><li>Own the website, landing pages, blog, social and paid ads across RepairQ and ServiceManager</li><li>Keep the two products in two distinct voices. RepairQ sells to repair retailers; ServiceManager sells to OEMs, 3PLs and depots. A blended ServiceCentral message serves neither</li><li>Run first response on inbound and get every lead to the right person quickly</li><li>Build outbound assets and copy variants for our sales team, and iterate them on what actually gets replies</li><li>Report on the funnel: sessions, form fills, reply rates, leads into opportunities</li><li>Automate your own job continuously, and tell us each month what you took off your plate</li></ul><h3>Customer-facing release comms</h3><p>We ship product improvements constantly. Working with product, engineering and our customer success managers, you will turn the material already generated while we build and test releases into short videos that show customers what has changed and why it matters. Product and engineering supply the substance. The customer success managers make sure what goes out is compelling and fit to put in front of a customer.</p><h3>How we work together</h3><p>Positioning, category naming and ICP are set by the Managing Director today, so you will be working to a message that is already defined. That boundary moves as you earn it. What is yours from day one is how the message reaches the market, and what the market tells us back.</p><h3>Logistics</h3><p>Full time. Your day is shifted to overlap North America: expect around four hours of daily overlap with our Eastern Time colleagues, which means working into the early evening Beirut time.</p><p><strong>Desired Candidate Profile</strong></p><p>2 to 4 years in B2B marketing, hands on across content, social, web and paid</p><p>Fluent daily use of AI tools, and at least one thing you have built that now runs without you</p><p>Comfortable in the technical layer: a CMS, an ads platform, analytics, and enough scripting or automation tooling that "can we automate this" is a question you answer rather than ask</p><p>Clear written English. Most of what you produce is read by North American buyers</p><p>You ship. You would rather put something live and learn from it than wait for it to be perfect</p><h4>Even better if you have</h4><ul><li>Marketed a B2B SaaS product to SMB and enterprise buyers at the same time</li><li>Worked in or around retail, repair, logistics or field service</li><li>Built an internal tool, agent or workflow that other people ended up using</li></ul>

<p>The AI Automation Engineer is responsible for designing, deploying and improving AI agents and agentic workflows that automate routine operational work, augment teams, and improve speed, quality and scalability across the business. This role is not about building disconnected experiments. It is about delivering real workflow change in priority areas, initially focused on Support, Sales, Professional Services and internal operational workflows. The role works closely with functional leaders and frontline teams to identify high value use cases, redesign workflows, deploy safe and useful agents, and ensure adoption in day-to-day operations. The AI Automation Engineer helps shift repetitive, rules based and data intensive work to AI agents, while preserving human ownership of judgment, sensitive customer interactions, escalations, quality assurance, exception handling and continuous knowledge improvement.</p><p><b><br></b></p><p><b>What you will do</b></p><ul><li>Design and deploy AI agents</li><li>Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting and analysis</li><li>Build agents and workflows that integrate with CRM, ERP, internal tools, SaaS platforms and APIs</li><li>Use multi step workflows, tool using agents, decision logic and orchestration patterns where appropriate</li><li>Move quickly from idea to pilot to production while maintaining clear standards for quality and reliability</li><li>Design and implement AI agents and workflow automations that support PDLC activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post release analysis</li><li>Identify manual or repetitive PDLC tasks and convert them into scalable AI assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems</li><li>Partner with Product, Engineering, QA, Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams</li><li>Redesign business workflows</li><li>Identify high value automation opportunities with functional leaders and operators</li><li>Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical</li><li>Support the shift to AI first intake, triage, knowledge retrieval, simple response handling and case preparation in service operations</li><li>Help teams redesign work around a clear human and agent division of labour</li><li>Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI generated artefacts</li><li>Governance, quality and evaluation</li><li>Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation</li><li>Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms</li><li>Test workflows with real users and real operational scenarios before scaling</li><li>Measure agent quality, workflow success, containment, handoff quality and operational value</li><li>Continuously improve workflows based on usage data, user feedback and service outcomes</li><li>Adoption and enablement</li><li>Partner with functional leaders and frontline teams to support rollout and adoption</li><li>Document new ways of working and help train users on how to work effectively with AI agents</li><li>Surface workflow risks, resistance points and improvement opportunities</li><li>Contribute reusable prompts, components, patterns and playbooks to the central AI capability</li><li>Cross functional delivery</li><li>Collaborate with Product, Engineering, Support, Sales and Professional Services teams</li><li>Help prioritise use cases based on measurable business value, feasibility and operational readiness</li><li>Support the central AI capability with value tracking, reporting and continuous learning across initiatives</li><li><b><br></b></li><li><b>What success looks like</b></li><li>Reduction in manual work and process cycle time</li><li>Improved support response times and service leverage</li><li>Workflow success rate and agent task completion quality</li><li>Ticket containment or deflection where relevant</li><li>Handoff quality for escalated or human reviewed work</li><li>User adoption of AI enabled workflows</li><li>Hours saved and team capacity created</li><li>Contribution to service, productivity and customer outcomes</li><li>Reduced manual effort across PDLC activities, faster movement from idea to release, improved quality of delivery artefacts, and stronger adoption of AI enabled workflows across Product and Engineering teams.</li><li>Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value</li><li>Strong working knowledge of AI and machine learning tools, large language models and agent frameworks</li><li>Experience building AI agents, workflow automations or AI powered internal tools</li><li>Experience designing or improving workflows across software or product delivery lifecycles, including the use of AI tools, agents, or automations to improve speed, quality, and operational leverage</li><li>Ability to go from zero to functional prototype quickly</li><li>Strong systems thinking and comfort working across tools, processes and teams</li><li>Comfort with ambiguity and the ability to help define the problem as well as the solution</li><li>Bias toward action, with discipline around quality, evaluation and operational safety</li><li>Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions</li><li><b><br></b></li><li><b>Nice to have</b></li><li>Experience building AI agents or service automation workflows</li><li>Experience in hospitality, retail, vertical SaaS, or B2B software environments</li><li>Experience working across multiple product lines, business units or operational functions</li><li>Familiarity with support operations, CRM workflows, or Professional Services delivery models</li><li>Experience with analytics, reporting and operational performance measurement</li></ul><p><strong>Desired Candidate Profile</strong></p>A bachelor's degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes. What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods. Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions. Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers. Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback. Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements. Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools. Tech Stack Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li><li>Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul>

<p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. We're looking for a DevOps engineer with a strong database background. The right candidate combines solid AWS infrastructure experience with a DBA mindset someone who is proactive about performance, cost, and reliability without needing to be prompted. This is a hands-on role with real ownership across multiple deployment targets (Managed Services, SaaS, on-prem). Priority for AI enabled DevOps engineers who leverage agentic workflows in their day-to-day work.</p><h3>Key Responsibilities:</h3><ul><li>Manage and optimise database infrastructure across AWS (ECS/EC2, EKS)</li><li>Drive query performance tuning, indexing, connection pooling, and replication management</li><li>Own infrastructure-as-code using TypeScript CDK; rare manual console changes</li><li>Identify and execute cost optimisation opportunities across RDS/Aurora, storage, and compute</li><li>Build automation tooling in Bash and TypeScript for backup validation, failover testing, and capacity planning</li><li>Collaborate with engineering teams on schema design and data access patterns ahead of implementation</li><li>Maintain CI/CD pipelines for infrastructure changes across all deployment targets</li></ul><h3>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</h3><ul><li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li><li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li><li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li><li>Proficient in Bash scripting</li><li>Agentic AI workflows</li></ul><h3>TECH STACK</h3><ul><li>PostgreSQL</li><li>SQL Server</li><li>AWS RDS/Aurora</li><li>ECS/EC2</li><li>EKS</li><li>TypeScript CDK</li><li>Bash</li><li>GitLab, Pipelines</li><li>AI-assisted tooling</li></ul><p><strong>Desired Candidate Profile</strong></p><ul> <li>3+ years in a DevOps, platform, or infrastructure role with a strong database focus</li> <li>Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)</li> <li>Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS</li> <li>Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered</li> <li>Proficient in Bash scripting</li> <li>Agentic AI workflows</li> </ul> <p> </p> <p>TECH STACK</p> <ul> <li>PostgreSQL SQL Server AWS RDS/Aurora ECS/EC2 EKS TypeScript CDK Bash GitLab, Pipelines AI-assisted tooling</li> </ul>

<p>Aspire Software is looking for a Customer-Technical Support Specialist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>Role Overview</p><p>As a Technical Customer Support Specialist, you are often the first person a hotel contacts when something in its property management system is not working sometimes during check-in and with guests waiting. You will help customers use our software effectively, answer how-to questions, diagnose technical problems, and resolve issues across a broad range of hospitality products and integrations. This includes explaining workflows, guiding users through configuration and operational tasks, reproducing reported problems, and determining whether an issue is related to data, configuration, permissions, an integration, or a software defect. You will resolve as much as possible during the initial interaction. When escalation is required, you will document the issue with enough evidence and context that the next person can continue the investigation without starting over. Tickets are initially triaged and tagged through AI-assisted workflows. You will assess that triage, correct it when necessary, review drafted responses, and take over the conversation whenever a customer needs direct assistance from a person.</p><p>What You Will Do</p><ul><li>Work the Shared Support Queue</li><li>Pull tickets from the team s shared queue, prioritize your workload based on severity, customer impact, and ticket age, and take ownership of each issue through resolution. The team works toward shared service and open-ticket goals rather than relying only on individually assigned inboxes.</li><li>Support Customers Across Every Channel</li><li>Provide support through phone, email, and chat. Adjust your communication style to the situation, whether you are answering a straightforward software question or leading a live troubleshooting call with a hotel experiencing an urgent operational issue.</li><li>Answer Product and Workflow Questions</li><li>Help customers understand how to use the software in their day-to-day hotel operations. This includes explaining features, walking users through processes, helping with configuration, and identifying when a how-to question is actually the result of incorrect setup, missing permissions, or unexpected system behavior.</li><li>Work With AI-Assisted Support Tools</li><li>Review AI-generated classifications and drafted responses before relying on them as our answer. Correct intent, priority, sentiment, language, and product classifications when necessary, and suppress automated responses when they would be inappropriate, including security, legal, or previously escalated matters. AI output is a starting point. You remain accountable for the accuracy of the response and for confirming that the customer s issue has been resolved.</li><li>Diagnose Issues Across Our Product Portfolio</li><li>Support roommaster Cloud, roommaster Anywhere, our browser-based PMS, Booking Engine and Channel Manager, roommaster Payments, Caretaker/Eventory and many more. Identifying the correct product, environment, database region, and affected workflow is often the first step in the diagnostic process.</li><li>Troubleshoot Integrations</li><li>Investigate issues involving data moving between connected systems, such as: Availability not reaching an online travel agency Reservations not arriving in the PMS Rates or restrictions not updating Transactions missing from reports Third-party systems returning incomplete or unexpected data Use logs, audit trails, request and response data, and the behavior of both systems to determine where the handoff failed.</li><li>Support Card Payments and Terminals</li><li>Assist with payment-terminal setup and connectivity, batch and settlement questions, refund, duplicate charges, tokenization, and processor-side issues. Understand what can be addressed within roommaster and when the issue must be escalated to another internal team.</li><li>Support Distribution and OTA Connectivity</li><li>Troubleshoot room and rate mapping, availability and restriction updates, and connections with platforms such as Booking.com, Expedia, Agoda, and Airbnb. Recognize the operational impact of distribution issues. For example, a stalled availability update that could cause a hotel to oversell rooms requires a different response than a routine mapping question.</li><li>Maintain Accurate Support Records</li><li>Ensure each ticket contains the correct: Ticket form and classification Customer organization and contact Product and product-automation fields Priority and severity Problem-versus-question classification Troubleshooting notes and supporting evidence Contacts must be associated with the correct organization, and all required information must be completed before a ticket is resolved.</li><li>Reduce Repeat Contact</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least one year of experience in technical support, application support, software support, or a comparable customer-facing technical role</p><p>A structured diagnostic approach: reproduce the issue, isolate variables, form and test a hypothesis, and escalate with evidence</p><p>Ability to distinguish among a product question, data issue, configuration problem, permissions issue, integration failure, and software defect</p><p>Comfort using browser developer tools, including reviewing console errors and inspecting failed network requests</p><p>Working knowledge of APIs and integrations, including HTTP status codes, request and response payloads, and webhooks</p><p>Ability to reconstruct events using logs, audit trails, transaction histories, and customer conversations</p><p>Strong written English and the ability to produce clear, accurate responses suitable for customers, hotel management, processors, vendors, and other stakeholders</p><p>Clear and confident spoken English, including the ability to lead a live call with a customer experiencing a stressful operational issue</p><p>Ability to manage and prioritize your workload without needing to be given a daily task list</p><p>Strong ownership and follow-through, including confirming that the customer s issue has been resolved</p><p>Beneficial Experience</p><ul><li>Hotel front-desk, reservations, accounting, or back-office experience</li><li>Experience with card payments or payment terminals, including Adyen, or another hotel or retail payment provider</li><li>Experience with channel managers, booking engines, or OTA extranets</li><li>Experience with Zendesk or a comparable ticketing platform</li><li>SQL knowledge or experience building reports from a relational database</li><li>Basic networking knowledge</li><li>Ability to use AI-assisted tools effectively while critically evaluating their output for accuracy, relevance, tone, security, and appropriateness</li><li>Experience supporting SaaS products or connected software platforms</li></ul>

<p>Aspire Software is looking for an AI Engineering Manager to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: The AI Engineering Manager leads a cross-functional team (Development &amp; QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities not just managing execution.</p><p>Core Responsibilities</p><strong>Technical Leadership &amp; Architecture</strong><ul><li>Own product architecture, including AI/LLM-integrated components</li><li>Design scalable, secure, and maintainable systems</li><li>Lead decisions involving: LLM integration (OpenAI, Azure OpenAI, etc.)</li><li>RAG architectures and vector databases</li><li>AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)</li><li>Ensure system reliability, observability, and cost efficiency</li><li>Establish AI governance and safe usage practices</li></ul><strong>AI Framework &amp; Methodology Expertise</strong><ul><li>Apply modern AI methodologies, including:</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt engineering and evaluation</li><li>AI output validation and guardrails</li><li>Human-in-the-loop workflows</li><li>Model monitoring and performance evaluation</li><li>Drive experimentation, A/B testing, and telemetry-based decision making</li></ul><strong>Team Leadership</strong><ul><li>Lead and mentor developers and QA engineers</li><li>Raise AI literacy across the team</li><li>Establish AI-native coding and review standards</li><li>Balance speed, quality, and architectural integrity</li></ul><strong>Delivery &amp; Outcome Ownership</strong><ul><li>Own predictable, high-quality releases</li><li>Ensure AI features are measurable, validated, and production-ready</li><li>Act as technical escalation point</li><li>Drive cross-team alignment with Product, Data, and DevOps</li></ul><strong>AI-Driven Engineering Excellence</strong><ul><li>Leverage AI-assisted development tools to improve velocity</li><li>Optimize AI cost-performance tradeoffs</li><li>Embed automation into testing and CI/CD pipelines</li></ul><p>7+ years software engineering experience, 2+ years in technical leadership</p><p>Hands-on experience building and deploying AI-enabled systems</p><p>Strong knowledge of:</p><ul><li>LLM integration and prompt design</li><li>RAG architectures and vector search</li><li>AI orchestration frameworks</li><li>Cloud platforms (Azure, AWS, or GCP)</li><li>Experience designing scalable distributed systems</li></ul><p>Preferred Experience in regulated industries</p><p>AI governance and compliance knowledge</p><p>Model lifecycle management and monitoring tools</p><p><strong>Desired Candidate Profile</strong></p><p>7+ years software engineering experience, 2+ years in technical leadership</p><p>Hands-on experience building and deploying AI-enabled systems</p><p>Strong knowledge of:</p><ul><li>LLM integration and prompt design</li><li>RAG architectures and vector search</li><li>AI orchestration frameworks</li><li>Cloud platforms (Azure, AWS, or GCP)</li><li>Experience designing scalable distributed systems</li></ul><p>Preferred Experience in regulated industries</p><p>AI governance and compliance knowledge</p><p>Model lifecycle management and monitoring tools</p>

<p>Aspire Software is looking for an Junior Quality Assurance Analyst to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the Role The Implementation QA Representative is a dedicated quality assurance resource focused specifically on client implementation projects. This role is responsible for validating all customer implementations of the Alessa platform before they are released for client User Acceptance Testing (UAT), with the goal of improving implementation quality and reducing issues identified during UAT. Key Responsibilities Validate all customer implementations for functional accuracy and completeness prior to release for client UAT. Develop and maintain test plans, test cases, and QA checklists specific to implementation projects. Execute functional, regression, and configuration testing against client requirements and solution design documents. Identify, document, and track defects and configuration issues through to resolution. Partner with Implementation Specialists, Product, and Engineering to confirm fixes and revalidate builds. Analyze recurring UAT issues and feed findings back into implementation processes to reduce future defects. Maintain QA documentation, testing evidence, and sign-off records for each implementation project. Support continuous improvement of implementation quality standards, tooling, and testing methodology</p><p><strong>Desired Candidate Profile</strong></p><p>Experience in software quality assurance or testing, ideally within a SaaS or enterprise software environment Strong understanding of QA methodologies: test planning, test case design, functional and regression testing Ability to read and validate against business/functional requirements and solution design documents Detail-oriented with strong analytical and problem-solving skills Familiarity with defect/issue tracking tools (e.g., Jira, Azure DevOps) Basic SQL skills for data validation an asset Understanding of AML/KYC, financial services, or compliance software is an asset Strong written and verbal communication skills for cross-functional collaboration Working Relationships Works closely with the Implementation/Professional Services team as the final quality checkpoint before implementations move to client UAT, and collaborates with Product and Engineering to resolve issues identified during testing.</p>