Top Tech Jobs & Startup Jobs in Seattle, WA

Lead strategy and execution for rapid technical content across AI and emerging technologies. Build and scale a multidisciplinary team, establish operating rhythms and prioritization frameworks, and drive cross-functional alignment to deliver high-impact, timely learning experiences. Own portfolio delivery performance, experiment with new formats and AI-enabled workflows, and communicate priorities and risks to senior leaders while balancing speed, quality, learner value, and operational scalability.

Manage a portfolio of enterprise customers to drive adoption, retention, renewals and expansion. Own lifecycle from onboarding to renewal, use data and internal tools to measure health and utilization, take corrective actions, forecast risk and growth, and build trusted advisor relationships with senior technology leaders.

As a Product Manager, you'll lead the development of content tools, enhance user engagement, and manage systems for content organization and accessibility.

The Product Manager focuses on enhancing user engagement through onboarding, analytics, and cross-channel communications while collaborating with various teams to drive lifecycle improvements.

Own full sales cycle for net-new logos and account expansion, engage C-level buyers, build and manage pipeline, collaborate with solution engineers and customer-success teams, and consistently meet revenue targets.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Partner with the CPO to translate strategy into operating action, drive cross-functional execution, manage high-priority special projects, run product management rhythms, surface risks and dependencies, improve meeting and escalation discipline, and represent the CPO in internal forums to ensure alignment and delivery during reorganization.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Enterprise Account Executive will manage revenue retention and expansion, oversee the sales cycle, build client relationships, and develop strategies for customer success.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.