Top Tech Jobs & Startup Jobs

Performs manual and automated testing for web and mobile applications within an Agile product delivery team. Conducts exploratory, regression, functional, system, usability, smoke, and API testing; documents test plans, cases, bugs, and results; collaborates with developers, product owners, and stakeholders; and develops automation and regression coverage using Selenium and optionally Appium.

Manage B2B SaaS customer relationships, product adoption, usage metrics, renewals, upselling, and cross-selling. Analyze customer data and feedback, support issue resolution, communicate product value, and collaborate with Product Management on feature launches and strategies. The role focuses on helping global enterprise customers achieve business outcomes while reducing churn and strengthening long-term engagement.

Monitor production applications, APIs, servers, databases, integrations, and scheduled jobs; investigate alerts and incidents; troubleshoot logs, APIs, data, configurations, and services; perform approved operational fixes; provide Level 1/Level 2 support; document and escalate defects; coordinate with Engineering and DevOps; support deployments; conduct incident reviews and root-cause analysis; and maintain accurate shift handovers during rotational coverage.

Develops and deploys computer vision and deep learning systems by implementing research techniques, extending code modules, building machine learning backends, and training models at scale. The role involves rapid experimentation and analysis across object detection, object tracking, OCR, image classification, and video analysis, using Python, OpenCV, PyTorch, and TensorFlow.

Assist in advancing an iOS beta application to production, building user-interaction data pipelines, implementing on-device AI, optimizing performance, and developing a sales force automation app. Collaborate with design, backend, product, and AI teams to deliver scalable enterprise mobile experiences.

Develop and maintain scalable Power BI dashboards, semantic models, DAX measures, KPI definitions, and reporting workflows. Prepare data from SQL databases, APIs, and other sources; optimize performance and refresh processes; configure Power BI Service workspaces, permissions, gateways, and security controls. Validate reporting outputs, troubleshoot production issues, and collaborate with Product, Customer Success, and customers to deliver tailored business intelligence solutions.