Top Tech Jobs & Startup Jobs in Seattle, WA

The Sr. Talent Acquisition Operations Analyst will build and maintain data systems to optimize hiring processes, create dashboards, and analyze recruiting data to provide actionable insights. This role requires collaboration with various teams to ensure effective decision-making and improve the candidate experience.

Develop and optimize data-driven solutions, including forecasting and pacing algorithms, through advanced machine learning and deep learning models, while collaborating with cross-functional teams and deploying results in production.

Lead the operational backbone of the Product organization, connecting strategy to execution. Manage product roadmap, facilitate strategy processes, and ensure alignment across teams while driving measurable success and accountability.

The Senior Enterprise Salesforce Engineer will design and optimize the Salesforce Sales Cloud platform, focusing on scalability and collaboration with cross-functional teams to improve user experience and revenue efficiency.

Lead the Deal Desk Product Management team, defining strategy and driving the evolution of a structured API-driven platform for better deal quality and management.

Develop and optimize internal tools and services at The Trade Desk, collaborating with teams to improve operational efficiency and drive impactful solutions.

As a Sr AI Software Engineer, you'll design and develop AI solutions, integrate large language models, and enhance productivity across teams.

Design and deliver large-scale identity products using big data; research and build scalable algorithms (graph mining, fraud prevention, optimization); collaborate with stakeholders; apply statistics, ML, and CS foundations to petabyte-scale data and production systems.

As a Senior Software Engineer on the OpenPath team, you will architect and build systems for direct publisher integrations, lead platform infrastructure efforts, and mentor engineers while shaping the future of programmatic advertising.

Lead design and evolution of feed definitions for high-performance multi-cloud distributed systems. Unify ingest and egress paths, optimize for low latency and code reuse, enable self-service provisioning, and collaborate across global teams to solve large-scale data challenges.