Top Tech Jobs & Startup Jobs in Seattle, WA

Provides technical leadership for enterprise security architecture, platforms, and controls across endpoints, infrastructure, applications, and cloud environments. Responsibilities include developing security strategy and roadmaps; implementing endpoint, EDR, zero-trust, application, and infrastructure protections; building scalable security services and automated workflows; and partnering across engineering teams to improve security posture, resilience, and operational excellence.

Leads Uber’s global payment-partnership strategy and executive relationships with networks, acquirers, issuers, wallets, processors, and emerging payment platforms. Owns partner performance, commercial negotiations, market intelligence, and new partnership development while collaborating with Product, Engineering, Legal, Finance, Risk, and regional teams. Builds and mentors a global partnerships organization and establishes scalable governance, frameworks, and playbooks.

Conduct security design reviews, threat modeling, penetration testing, and adversarial assessments of services, applications, APIs, infrastructure, mobile platforms, and AI agents. Build AI-powered automation to scale security assessments, identify complex attack paths, and improve security controls. Collaborate with engineering and security teams to address systemic weaknesses, evaluate cloud-native architectures, and communicate actionable findings across technical and non-technical stakeholders.

Conduct security and privacy design reviews, threat modeling, penetration testing, and adversarial assessments of applications, APIs, cloud services, and AI agents. Identify attack paths, sensitive-data risks, and control weaknesses; document findings and remediation guidance; partner with engineering and vendors to validate fixes. Build AI-powered automation and reusable tooling to scale continuous security assessments.

Lead product vision and strategy for Uber Parcel, building scalable platforms that connect digital and physical operations. Define requirements, roadmaps, OKRs, and measurable outcomes; coordinate Engineering, Data Science, Design, Legal, and external partners; oversee APIs, orchestration layers, experimentation, quality monitoring, and global product launches. The role requires strong technical depth, marketplace or platform experience, executive communication, and the ability to lead ambiguous 0-to-1 initiatives.

Lead the technical vision and long-term machine learning strategy for Consumer Incentives. Design personalization, causal measurement, experimentation, and constrained optimization solutions; architect scalable end-to-end ML systems; evaluate reinforcement learning, foundation models, and generative AI; and drive cross-functional initiatives from formulation through production. Mentor technical leaders, establish engineering best practices, and connect model improvements to measurable consumer and business outcomes.

Own Uber’s enterprise security awareness and human risk management program. Develop risk-based training curricula, interactive learning modules, campaigns, and audience-specific communications. Package content for learning platforms, measure engagement and behavior change, conduct stakeholder interviews, and identify control or tooling improvements. Partner with Security, Communications, Learning and Development, People, and business teams while using data and approved AI tools to improve program effectiveness.

Lead cybersecurity risk intake, assessments, treatment and exception workflows; partner with engineering and governance teams to drive remediation. Own GRC tooling components, configure ServiceNow and Jira workflows, build Python and SQL automation, reconcile integrations, and create executive risk reporting. The role also includes incident response leadership, forensic investigation, threat hunting, technical simulations, and mentoring security professionals.

Leads technical direction for Uber’s AI developer platform, building agentic systems that plan, code, review, verify, and ship software. Responsibilities include architecting durable workflows, setting AI evaluation and reliability standards, partnering across engineering organizations, shipping critical platform components, mentoring technical leaders, and representing the platform externally. The role requires large-scale backend or developer-platform engineering experience, strong programming skills, and technical leadership across multi-team initiatives.

Own and deliver web frontend products at Uber scale, partnering with stakeholders and cross-functional teams. Build applications using React, GraphQL, Flow, CSS-in-JS, Node.js, and Uber’s frontend frameworks. Measure feature experiments, collaborate with Data Science and Product teams, and iterate on user experiences. Mentor junior engineers, provide technical leadership, and ship high-quality features on schedule.