Top Tech Jobs & Startup Jobs in Seattle, WA

Design and build high-scale, data-intensive distributed systems and platform infrastructure; collaborate with product, design, and frontend teams to deliver features; debug production issues across stacks; improve observability, reliability, performance, and AI tooling adoption; lead large cross-functional projects and develop LLM-powered/agentic systems.

Manage enterprise customers to drive product adoption, retention, and expansion. Build Mutual Success Plans, lead QBRs, analyze customer data to surface insights, provide strategic sales engagement guidance, run trainings/webinars, and manage executive relationships. Partner internally to resolve issues, demonstrate ROI, and ensure renewals and customer satisfaction.

Lead the Revenue Intelligence product for predictive sales forecasting: define strategy and roadmap, run discovery and experiments, translate requirements for engineering and design, launch features, and track KPIs to drive adoption and revenue outcomes.

Lead product strategy and roadmap for agentic AI selling experiences. Define transparent, controllable AI agents with guardrails, human-in-the-loop checkpoints, evaluation metrics, and coordinate cross-functional pods to deliver trusted, enterprise-grade AI features.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

Lead AI-driven product initiatives from ideation through launch and retention. Own roadmap for transcript intelligence and insights, engage customers, coordinate cross-functional teams, drive integrations with CRM and GTM, and influence company-wide strategy and technical trade-offs.