Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and supervise sales and use tax engagements from planning to completion, prepare and review complex corporate, partnership, and high-net-worth individual tax returns, research complex tax matters, identify planning opportunities, resolve tax controversies, and train and mentor staff.

The Statistical Modeling Manager leads the development of credit risk models, ensuring data integrity and alignment with business objectives, while enhancing model performance and conducting analytics for informed decision-making.

The Engineering Manager will lead the team in product design, oversee engineering operations, and ensure timely project delivery, translating technical requirements into user-friendly product experiences.

Manage full-cycle recruiting for a 6–9 month contract: source, screen, interview, and hire candidates; maintain ATS data integrity, workflows, scorecards, headcount tracking, and coordinate interviews and offers while partnering with hiring managers and senior leaders.

Lead and grow a 5-15 engineer team owning SRE, DevOps, MLOps, and internal IT. Manage hybrid Windows/Linux/macOS infrastructure, cloud platforms, observability, incident response, network/security posture, and the Control Plane compute unification initiative while partnering across engineering, security, and product.

The Energy Project Manager will oversee large-scale energy projects, managing pre-construction to execution, including scheduling, compliance, and stakeholder communication.

Design and implement large-scale distributed data processing systems and pipelines, contributing throughout the software development lifecycle while collaborating with cross-functional teams.

Lead, build, and scale a high-performing Enterprise Account Director team to acquire and expand enterprise accounts. Set strategy, drive pipeline development and forecasting, enable value-based sales execution (MEDDICC/Force Management), collaborate cross-functionally, and analyze metrics to accelerate growth and customer satisfaction.

The internship involves working on impactful projects in the healthcare sector, gaining exposure to engineering practices and developing full stack web applications using various technologies.

Develop robotics software for tractor-mounted AI systems, focusing on perception and localization algorithms. Optimize code for performance and support across software and hardware stacks.