Top Tech Jobs & Startup Jobs

Design end-to-end product experiences for Outreach's AI-powered sales platform (Engage and Amplify). Create system architectures, user flows, interaction models, and high-fidelity UIs; run research and usability studies; partner with PMs, engineers, and other designers; extend the design system and shape product vision for sales workflows and AI features.

Responsible for managing complex sales cycles and engaging C-suite executives in EMEA, focusing on AI-driven revenue solutions. Develop strategies and account plans, drive pipeline with AI tools, and negotiate contracts to expand Outreach's footprint in large enterprises.

Lead and mentor a back-end engineering team (up to 8) building high-scale email and calendar services. Own roadmap, SLOs, on-call operations, reliability, observability and security compliance. Stay hands-on in code/design, drive technical decisions, reduce tech debt, and collaborate cross-functionally with Product, SRE, Security, and UX to deliver robust production services.

The Program Manager, Supportability drives improvements in customer support experience by identifying issues, advocating for product enhancements, and managing feedback processes, aiming for seamless product launches and enhanced supportability.

The Staff Data Scientist will design and implement machine learning systems, optimize customer engagement workflows, and collaborate with cross-functional teams to develop machine learning applications from research to production.

The Product Manager will define and drive the roadmap for internal support tooling, enhancing efficiency and customer experience by collaborating with support and engineering teams to solve problems and deliver outcomes using AI and systems thinking.

Manage full sales cycle for large enterprise accounts (5,000–10,000 employees): prospecting, MEDDPICC-based account planning, discovery, demos, negotiating contracts with C-suite, closing deals, and coordinating handoff to services and account management to drive adoption and expansion.

The Senior Data Scientist will design and improve machine learning systems, work on end-to-end applications, and collaborate with teams to optimize customer engagement workflows.

Manage account operations for global clients, drive revenue growth, mitigate churn, lead negotiations, and ensure client satisfaction through strategic sales and collaboration with internal teams.

Build outcome-driven analytics, reports, and platform features to surface insights for customers. Collaborate with data science, frontend/backend, and data platform teams to design, ship, and optimize analytics products using modern languages, SQL, and cloud infrastructure.