Top Tech Jobs & Startup Jobs

The Sales Design Consultant greets customers, builds relationships, sells tile products, tracks orders, and maintains professional presentation.

Own a high-volume portfolio of education and state/local government accounts, driving net-new and renewal revenue. Source, close, and renew deals, maintain accurate forecasting and CRM hygiene, prioritize opportunities to maximize ARR, execute repeatable sales processes, and build relationships with public sector customers while navigating procurement and budget cycles.

Manage and grow a portfolio of existing B2B SaaS customers by identifying expansion opportunities, leading commercial negotiations, partnering with Customer Success, forecasting pipeline, and advising finance and IT leaders on AR/payments automation to drive adoption and revenue.

The Engineering Manager leads the Application Engineering team, aligns engineering with operations, translates customer requirements into manufacturable solutions, and supports business development efforts while maintaining engineering excellence.

Lead product marketing strategy for publishers and platform customers, ensuring commercial readiness, developing messaging for technical audiences, and driving adoption of data solutions.

Own end-to-end UX for a web-based enterprise ordering portal, converting AI-driven forecasts into actionable workflows. Design dashboards, exception workflows, agentic/conversational experiences, shared portal services (admin, permissions), and reusable components. Partner with product, ML, and engineering to ship product improvements that reduce food waste and drive business value.

The Data Scientist will lead the development of data products that enable AI-driven insights, ensuring compliance and optimizing processes across CMC workflows.

Build and own backend systems for Lyft Growth Platforms (Incentives & Messaging). Design architecture, lead multi-person projects from concept to production, write well-tested code, collaborate with product, design, and data teams, operate distributed, scalable services using Python/Go/AWS/AI/NoSQL, participate in on-call incident response, and mentor peers to promote engineering best practices.

Manage the Ads product and platform lifecycle, define AI strategies, drive measurement and insights, and lead a PM team for performance marketing.

The Senior Application Engineer will develop cloud-native applications and APIs, focusing on AI products, utilizing AWS technologies, and engaging in Agile project cycles.