Top Tech Jobs & Startup Jobs

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Lead end-to-end implementation of high-fidelity, performant, and accessible frontend features for a realtime collaborative visual canvas. Translate designs into polished interactions, optimize performance and accessibility, collaborate with PMs, designers, and backend engineers, and shape frontend best practices and design systems.

Serve as the bridge between client leadership and engineering to identify high-value AI opportunities, map current processes, design future-state solutions, write implementation-ready specifications, prioritize initiatives, align stakeholders, and stay close to builds to ensure delivered systems match business goals. Requires fluent Spanish and English and rapid, iterative delivery.

Work with customers and the SF product team to gather requirements and implement end-to-end AI solutions. Normalize, transform, visualize data, build integrations with external APIs, and deliver practical automation and product feedback. Role is customer-facing and requires technical problem-solving and fast execution.

Remote product associate who partners with customers to discover business needs, design and implement AI-powered solutions end-to-end, and deliver production-ready implementations working closely with the SF product team. Role is customer-facing, involves live meetings and offline solution-building, and supports part-time or full-time engagement across Europe and the Americas.

Work with founders at the intersection of product, users, and go-to-market to define and launch new AI product categories. Conduct user conversations, develop messaging and narratives, support PLG and early GTM experiments, and adapt strategy based on feedback.

Lead QA strategy and execution for an AI automation platform. Define quality metrics, build automation for regression, integration, and performance tests, validate reliability and scalability, triage incidents, and mentor engineers to embed reliability and testing into CI/CD workflows.