Top Tech Jobs & Startup Jobs in Seattle, WA

As a Staff Privacy Analyst at Lyft, you will be responsible for conducting privacy risk assessments, providing privacy guidance to ad tech teams, building privacy tooling, and advising product and engineering teams on data privacy issues. You should have deep knowledge of the ad tech ecosystem, privacy concepts, and privacy regulations. Strong technical skills, communication skills, and leadership skills are required for this role.

Join Lyft as a Staff Software Engineer focusing on digital ads platform. Lead projects, define technical roadmaps, write maintainable code, and collaborate with cross-functional teams. Requires 5+ years of ad industry experience, proficiency in object-oriented programming, and experience with cloud platforms and distributed systems.

Lead Anaplan Model Builder responsible for designing, developing, and maintaining Anaplan models to support FP&A processes. Collaborate with stakeholders, automate processes, troubleshoot issues, and stay updated on Anaplan best practices. Manage stakeholder requirements and provide training and support to users. Must have 5-7 years of IT systems experience and deep domain knowledge in Anaplan or similar technologies like workday adaptive planning and Tableau.

Seeking a highly motivated Anaplan Model Builder to support FP&A processes by designing, developing, and maintaining Anaplan models. Collaborate with FP&A professionals to translate needs into efficient solutions on the Anaplan platform.

The Legal Technology Solutions Lead at Lyft will collaborate with legal teams to provide technology solutions, analyze and enhance legal technology systems, develop training materials, stay updated on legal tech trends, and ensure data security policies. The role requires a Bachelor's degree and a minimum of 6 years of experience in legal technology or a related field.

Lyft is seeking a Software Engineer to join their Security team and improve the security of their systems through building services, promoting security best practices, and enhancing security architectures. Responsibilities include building secure services, collaborating with Infrastructure teams, developing critical services like credential management, and enhancing role-based access control. The ideal candidate has solid programming language experience, a deep interest in computer security, problem-solving skills, strong communication abilities, and a prioritization mindset for security work.

As a Senior Data Scientist specializing in Algorithms at Lyft, you will develop mathematical models for the platform's core services, focusing on optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teams to enhance algorithms for matching rideshare supply and demand in real time and improve the experiences of Lyft Riders and Drivers.