Top Tech Jobs & Startup Jobs in Seattle, WA

Design and develop scalable ML infrastructure to support training and inference, optimizing distributed systems, and maintaining operational excellence. Collaborate with various teams to enhance AI capabilities and ensure reliability and performance.

Responsible for speeding up frontend builds and tooling at Slack, mentoring engineers, and enhancing developer experiences through performance improvements and toolchain optimizations.

The MC Adoption Product Manager leads technical engagements for Marketing Cloud, ensuring architecture integrity and documentation for customer implementations. Responsibilities include architectural validation, data reference management, and cross-cloud expertise. Candidates must have hands-on Marketing Cloud experience and strong stakeholder communication skills.

Lead partner-facing architecture governance for Agentforce: perform design reviews, build reference implementations and partner kits, provide high-risk deployment support, set observability and production benchmarks, advise on security/performance for MCP servers and agents, and translate partner feedback into platform improvements and consumption-based pricing models.

The Director of Capacity Planning will design an integrated capacity model for human and AI resources, develop predictive simulations, and create a unified data architecture while ensuring stakeholder alignment and strategic insight.

Lead a GCP Network Services engineering team to build data security and network services, improve developer productivity, and deliver reliable, self-healing cloud infrastructure. Drive cross-functional collaboration, prioritize and unblock delivery, mentor engineers, participate in architecture, and occasionally contribute code to ensure high-quality, secure releases.

This role involves defining and executing the enablement strategy for Solutions Engineering, partnering with Sales and Product leadership, analyzing performance data, and facilitating targeted enablement interventions.

The role involves designing and optimizing compute infrastructure for distributed Spark workloads and building scalable AI infrastructure while collaborating with other engineers on performance improvements.

The role involves managing demand generation campaigns and executing logistics for executive events, ensuring effective audience acquisition and event operations.

The Senior Engineer will manage DNS operations, incident management, develop RESTful services, and ensure system efficiency while supporting AI integration and maintaining cloud environments.