Top Tech Jobs & Startup Jobs

Own the full sales cycle for recognition products sold to physicians, dentists, hospitals, and practice managers. Generate leads, close new business, educate clients on licensing and product offerings, manage renewals and repeat purchases, develop proposals, monitor campaign performance, maintain CRM records, conduct competitive analysis, and collaborate with research and marketing teams to achieve revenue targets.

Develop production AI systems for 3D spatial processing, computer vision, floorplan extraction, point-cloud analysis, and wireless network optimization. Build Python-based models and pipelines, deploy scalable inference through AWS SageMaker and NVIDIA Triton, optimize models for low latency, and implement MLOps, data engineering, observability, and CI/CD workflows. Collaborate with research, software engineering, and product teams to transition prototypes into market-ready products.

Develop and maintain high-volume data processing pipelines using cloud and distributed-data technologies. Build jobs and libraries supporting data scientists and analysts, while implementing monitoring, alerting, quality checks, testing, and documentation. Contribute to data platform architecture and collaborate with cross-functional teams. The role requires expertise in SQL, data modeling, workflow orchestration, Python, ETL/ELT design, Spark, and AWS.

Manage strategic enterprise customer relationships, serving as the primary contact for technical support, training, issue resolution, and executive engagement. Partner with sales on account health, growth, and presales activities while advocating for customer needs internally. Apply data analytics, visualization, AI tools, and automation to improve reporting, insights, troubleshooting, and customer value. Support connectivity-focused products and regularly meet clients and attend company functions.

Leads the global Customer Solutions & Success strategy and operating model, scaling customer-facing leadership across regions, products, and markets. Establishes standards for value articulation, technical storytelling, and solution demonstrations across the customer lifecycle. Partners with Sales, Product, Engineering, Services, and executive leadership to improve retention, expansion readiness, advocacy, and long-term customer value. Represents customer and market needs in roadmap, investment, and go-to-market decisions.

Develop high-volume distributed data processing jobs using Redshift, Athena, Iceberg, Spark, and Airflow. Collaborate with data scientists, analysts, and product managers to turn methodologies into products, improve system performance, and support data workflows. Mentor junior engineers on architecture and best practices. The role requires strong Python programming, SQL, database, data modeling, and modern lakehouse expertise, with AWS and streaming experience preferred.

Build and maintain high-volume data processing jobs (Redshift, Spark, Athena, Iceberg, Airflow). Collaborate with data scientists and analysts to productionize models, identify performance bottlenecks, and mentor junior engineers. Support data modeling, warehouse management, and troubleshooting.

Design, develop, test, maintain, and troubleshoot scalable software applications, services, APIs, and platforms. Collaborate with engineering, product, design, and other stakeholders; participate in code reviews, technical discussions, solution design, and continuous improvement. Apply modern cloud, DevOps, automated testing, and CI/CD practices while improving system performance, reliability, scalability, and observability.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Develop and maintain cloud-based services, platforms, and web applications for Wi-Fi network design and optimization. Adapt application architecture to support new features involving measurement-device data, control planes, cloud APIs, and scalable microservices. Collaborate with product managers, designers, and engineering teams; contribute to technical planning and architecture direction; mentor junior engineers; and troubleshoot issues to ensure stable, efficient applications.