Sembi

QA Engineer

• Perform manual testing of web applications to identify bugs, glitches, and inconsistencies.
• Develop, maintain, and execute detailed manual test cases based on product requirements and specifications.
• Perform thorough cross-browser UI testing to ensure consistent behavior across Chrome, Firefox, Safari, Edge, etc.
• Validate AI-generated test cases, summaries, and recommendations produced by integrated LLMs to ensure accuracy, completeness, and alignment with project requirements.
• Design and execute test scenarios to verify AI behavior, including prompt–response consistency, contextual relevance, and deterministic vs. non-deterministic outputs.
• Evaluate AI model quality using defined acceptance metrics (precision, recall, hallucination rate, duplication rate).
• Conduct manual API testing to validate request/response accuracy, error handling, and integration.
• Use TestRail to create, manage, and track test plans, test cases, and test execution results.
• Use Jenkins CI/CD pipelines for automated testing and deployment processes.
• Execute automated test scripts using Python based framework.
• Contribute to the existing automation framework by automating priority test cases for new functionality.
• Report and document defects clearly using bug tracking system (JIRA).
• Participate in daily stand-ups, sprint planning, and other Agile team meetings.
• Review user stories and acceptance criteria to understand the scope of testing.
• Estimate own tasks, report on risks to the team lead.
• Collaborate with developers and other QA team members to reproduce issues and verify fixes.
• Maintain and update test documentation as needed.

Manual Quality Engineer – TestRail

Full-stack Engineer

• Design, develop, and maintain backend systems, APIs, and integrations supporting company products and distributed services.
• Write clean, modular, and testable code in PHP and complementary technologies such as JavaScript, HTML/CSS, and related frameworks.
• Architect and evolve distributed systems and microservices that support scalability, reliability, and separation of concerns.
• Apply OOP principles and solid architectural patterns to ensure extensibility and maintainability.
• Implement and maintain secure authentication and authorization mechanisms (e.g., OAuth2, JWT, RBAC).
• Utilize data structures, algorithms, and caching strategies to optimize system performance and responsiveness.
• Conduct debugging, profiling, and performance tuning across multiple environments and services.
• Collaborate with Product Managers, Architects, QA, and Support Teams to gather requirements, define scope, and ensure successful delivery.
• Plan and execute testing strategies with QA/QE teams to ensure coverage of both new and existing functionality.
• Ensure adherence to code quality, security, and scalability standards across the development lifecycle.
• Conduct and participate in peer code reviews, contributing to knowledge sharing and consistent practices.
• Prepare and maintain detailed technical documentation, including API specifications and architectural diagrams.
• Evaluate and recommend new tools, frameworks, or architectural improvements to enhance system performance.
• Participate in engineering reviews, sprint ceremonies, and cross-team demos to align on progress and priorities.
• Identify opportunities for innovation and patentable solutions consistent with company goals.
• Ensure compliance with company policies regarding open-source usage and third-party dependencies.

Senior Software Engineer

Marketing Operations

• Develop, maintain, and oversee data pipelines and architectures supporting the marketing and sales technology stack
• Drive alignment between marketing, sales, and business stakeholders
• Lead the modernization of the marketing technology stack
• Collaborate cross-functionally to lead strategic and operational initiatives
• Ensure the accuracy, integrity, and compliance of data across marketing and sales platforms
• Design, develop, and maintain comprehensive dashboards, reports, and processes

Marketing Operations Analyst

Sales Operations Manager

• Reconcile and validate financial data across billing, subscription, Stripe, HubSpot, and related finance systems
• Resolve discrepancies, investigate data integrity issues, and ensure accurate handoff of data to Finance
• Support Finance with monthly, quarterly, and annual close processes
• Manage weekly, monthly, quarterly, and annual reporting of KPIs for Sales and Marketing
• Analyze sales performance metrics, distribute quotas, and prepare commission reports
• Research and analyze data to develop accurate sales forecasts and revenue projections
• Streamline and implement best practices and automation to improve sales process efficiency and reduce friction
• Oversee CRM (HubSpot) usage, reporting, and dashboard development to maximize customer and pipeline visibility
• Collect, analyze, and interpret sales data to provide actionable insights and identify trends
• Enable frontline sales teams by providing strategic direction, resources, and training
• Document and communicate sales processes and ensure consistent adoption across the team
• Lead administrative and operational support for sales, including scheduling, invoicing, billing, and customer service alignment
• Act as a liaison between Sales and other departments to ensure cross-functional coordination
• Partner with Marketing and Sales on lead management and routing processes

Revenue & Sales Operations Manager

Data Engineer

• Lead and mentor a small team of data engineers, promoting technical excellence and best practices.
• Own and manage AWS-based data infrastructure related to the data warehouse and ETL systems, including provisioning, system performance, and cost optimization.
• Design, implement, and maintain end-to-end ETL pipelines to support data ingestion, transformation, and integration from internal systems and third-party tools.
• Optimize queries and indexes for production application databases to ensure fast, reliable access.
• Triage and resolve data integrity issues across the warehouse and source systems.
• Partner with BI analysts and stakeholders to enable high-quality reporting and analytics.
• Support data tooling and BI platforms such as Yellowfin, Tableau, PowerBI and others.
• Ensure secure and performant connectivity between CDATA drivers and data warehouse.

Lead Data Engineer – DBA

Customer Support

• Take full ownership of customer satisfaction, ensuring all issues are actively managed to resolution
• Delegate effectively while maintaining accountability for outcomes and keeping customers informed throughout the process
• Monitor and report on key support metrics, ensure SLA adherence, and manage high-priority escalations
• Partner with Product, Engineering, and Customer Success teams to close feedback loops and improve customer experience
• Provide mentorship and strategic direction to Support engineers, fostering a sense of ownership, consistency, and collaboration
• Review and analyze customer feedback to identify recurring issues and improvement opportunities
• Drive corrective actions to address negative experiences and reinforce positive ones
• Continuously evaluate internal workflows to identify inefficiencies and propose actionable improvements that enhance quality, speed, and consistency of support delivery
• Interface with strongly opinionated customers to bring direction, closure, and well-defined next steps

Customer Support Manager

Technical Project Manager

• Oversee and manage long-running IT projects, ensuring that deadlines, budgets, and scope are met while maintaining high-quality standards.
• Drive the adoption and continuous improvement of Agile practices across the team, ensuring that Scrum, Kanban, or other Agile frameworks are properly followed.
• Utilize Jira to track progress, manage user work queues, backlogs, sprints, and epic burndowns for long-running projects.
• Facilitate both short-term focused IT engineers working on helpdesk, procurement and other regularly scheduled work as well as long-running projects such as system implementation or system migrations.
• Regularly update stakeholders and leadership on project status, roadblocks, risks, and opportunities.
• Outline processes and policies for regularly scheduled business needs such as employee onboarding, laptop procurement/upgrades, employee offboarding, etc.
• Analyze and apply lessons learned from previous projects to enhance future processes, tools, and team performance.