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Manage the full sales cycle for Uber Eats restaurant partnerships, including prospecting, pitching, contract negotiation, and closing. Identify high-potential restaurants, communicate platform value, collaborate with onboarding and operations teams, and support partner performance during the first 28 days. Improve internal processes while meeting sales targets and building long-term partner relationships.

Manage strategic enterprise restaurant partnerships for Uber Eats. Build joint business plans, lead commercial negotiations, improve account health, analyze operational and financial data, identify growth opportunities, resolve customer-impacting issues, and collaborate with product, marketing, and operations teams. Present insights to executive stakeholders and drive revenue, adoption, and partnership performance across major brands.

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.

Owns Uber’s cybersecurity GRC strategy, including cyber risk intake, prioritization, treatment planning, control design, and risk reporting. Manages ServiceNow eGRC solutions, develops workflows and dashboards, supports integrations, and partners with engineering teams to drive risk remediation to closure. The role leads cross-functional program execution, improves risk processes through automation, communicates decisions to leadership, and mentors junior security professionals.

Drive enterprise sales growth for Uber for Business in Japan by building a pipeline from zero, identifying customer pain points, developing go-to-market strategies, engaging C-level stakeholders, negotiating complex contracts, forecasting accurately, and coordinating product, operations, and implementation teams through account launch and adoption.

Leads the architecture and implementation of Uber’s cyber defense platform across multi-cloud and hybrid environments. Defines security strategy, builds scalable CSPM, vulnerability management, threat detection, and incident response capabilities, and applies AI/ML automation. Provides incident leadership, establishes security standards, mentors engineers, drives technical direction, and collaborates with executive and cross-functional teams on security, privacy, compliance, and engineering initiatives.

The posting identifies an Account Manager role supporting Uber Eats enterprise strategic accounts and sales planning. The provided document is an incomplete template and does not include specific responsibilities, qualifications, tools, compensation, travel, or clearance details.

Designs and builds highly scalable backend and data systems supporting Uber’s global marketplace. Responsibilities include architectural leadership, solving low-latency and high-correctness problems, leading organization-wide engineering projects, managing incidents and on-call operations, collaborating cross-functionally, and mentoring engineers. The role requires advanced SQL and data warehousing expertise, distributed systems experience, and the ability to drive large-scale technical initiatives.

Leads Uber’s US and Canada Customer Advocacy & Solutions team, translating regional business and customer needs into global CX priorities and localized execution. Responsibilities include managing the team, partnering with senior leaders, launching AI-driven support and technology programs, handling regulatory and market-specific initiatives, reducing customer-impacting defects, and overseeing strategic partnerships, acquisitions, and major market moments.

Leads strategy, roadmap, execution, and team development for Uber Ads’ advertiser experience and demand products. Owns campaign creation, self-service tooling, reporting, measurement, attribution, and optimization for enterprise and SMB advertisers. Partners cross-functionally with Engineering, Data Science, Design, Sales, and business teams to improve advertiser performance, adoption, and revenue. Requires extensive product leadership experience building and scaling advertiser-facing products from 0 to 1.