Top Tech Jobs & Startup Jobs in Seattle, WA

Lead Uber’s Detection Engineering organization and set the global strategy, roadmap, and execution for threat detection. Own detection coverage, content, platforms, latency, signal fidelity, and AI/ML adoption across corporate, production, and cloud environments. Partner with security response, threat intelligence, infrastructure, and product teams; manage vendors and build-versus-buy decisions; and hire, develop, and retain senior security and software engineering leaders.

Lead Uber’s Product Expression team and define its creative vision across illustration, motion, visual storytelling, and product experiences. Establish high craft standards, develop scalable creative systems, coach multidisciplinary designers, and collaborate with Product, Engineering, Brand, Marketing, and Design Systems. The role combines strategic creative leadership with hands-on concept development, prototyping, critique, and visual direction across a global product ecosystem.

Lead strategy, vision, and roadmap development for Uber Eats consumer affordability and experience products. Collaborate with Design, Data Science, Engineering, Operations, and executive stakeholders to identify opportunities, run data-driven experiments, improve customer journeys, and deliver business outcomes. Lead geographically distributed teams, remove delivery obstacles, optimize performance metrics, and own end-to-end consumer product experiences.

Lead cybersecurity diligence, integration, and operational security efforts for acquisitions, investments, and subsidiaries. Assess cyber maturity and risks across cloud, on-premises, identity, endpoint, SaaS, and engineering environments. Build automation, integrations, security tooling, and telemetry workflows; deploy security services; and support incident response, containment, remediation, and recovery. Partner with security, IT, legal, privacy, corporate development, and business stakeholders while communicating technical risk and improving security resilience.

Owns Uber’s U.S. immigration service delivery and compliance program. Responsibilities include monitoring regulatory changes, managing employment-based immigration policies and escalations, supporting corporate transactions and organizational changes, overseeing external immigration vendors, educating stakeholders, analyzing program metrics, and driving process improvements across global mobility initiatives.

Perform penetration testing, threat modeling, security design reviews, and vulnerability validation across applications, APIs, infrastructure, cloud-native systems, and AI agents. Build AI-powered security automation, identify complex attack paths, and partner with engineering teams to improve security controls and eliminate vulnerability classes. Translate technical findings into actionable guidance and lead complex assessments across organizational boundaries.

Designs and scales network security systems, real-time algorithms, and automated defenses against bot attacks and DDoS threats. Processes network telemetry using streaming and machine learning technologies, automates cloud and edge security controls with Terraform, improves monitoring and resilience, responds to incidents, conducts technical reviews, develops runbooks, and mentors engineers.

Leads technical safety due diligence and integration assessments for autonomous vehicle partners. Defines safety criteria, conducts Safety Risk Assessments, evaluates V&V and regulatory compliance, and improves partner onboarding processes. The role bridges Uber and external engineering teams, communicates complex technical risks to leadership and cross-functional stakeholders, and evaluates responsible AI/ML applications for safety validation.

Leads technical talent sourcing strategy for engineering teams across North America. Responsibilities include market mapping, targeted sourcing, data-driven hiring insights, stakeholder influence, candidate advocacy, pipeline diversity, assessment-process improvements, and delivering a high-quality candidate experience in a fast-paced environment.

Design and build scalable ML infrastructure and backend systems for high-impact marketplace applications. Lead architecture, solve low-latency and high-correctness problems, develop and adopt engineering frameworks, and create production-ready technical roadmaps. Partner with Product, Science, and Operations while mentoring engineers and improving engineering standards. The role requires experience with ML models, foundational models or LLMs, MLOps, Kubernetes, data pipelines, distributed workflows, and large-scale scheduling.