Top Tech Jobs & Startup Jobs

Manage strategic enterprise restaurant accounts for Uber Eats by building joint business plans, leading commercial negotiations, improving account health, analyzing performance data, and identifying growth opportunities. The role involves executive stakeholder engagement, cross-functional collaboration, resolving operational issues, promoting platform adoption, and influencing product roadmaps. Candidates need at least three years of B2B client-facing experience, commercial relationship management expertise, strong analytical abilities, and familiarity with CRM platforms such as Salesforce.

Leads strategy and planning for Uber’s Autonomous business, developing AV strategy, competitive positioning, data-driven decision frameworks, reporting governance, and planning processes. Partners with senior leaders across operations, business development, product, engineering, policy, finance, and investor relations. Manages an analytical strategy team and drives informed decisions, organizational alignment, and value creation for the autonomous business.

Leads product operations for Identity by designing go-to-market plans, operating models, rollout and testing strategies, and scalable global processes. Coordinates cross-functional teams across product, engineering, legal, tax, and support; surfaces customer and business insights; tracks post-launch metrics; and drives continuous product improvement. Requires analytical decision-making, SQL proficiency, global project management, and stakeholder leadership.

Develop scalable ML infrastructure for autonomous vehicle use cases within Uber AV Labs. Responsibilities include designing multi-region, multi-cloud platforms; customizing Uber’s ML platform; aligning infrastructure and AV teams; executing technical projects from conception through production; and optimizing GPU efficiency. The role requires expertise in CUDA, TensorRT, Kubernetes, Flyte or Airflow, and Ray, along with at least six years of experience and a computer science degree.

Own the full acquisition sales cycle for priority restaurant partners, from prospecting and initial outreach through contracting, activation, and early growth support. Build tailored value propositions, analyze territories, identify high-impact opportunities, manage leads and pipelines using data and CRM tools, and collaborate with operations, marketing, and account management teams. The role also contributes feedback to improve products, pricing, and processes.

Acquire and grow mid-market business clients for Uber for Business mobility and delivery services. Develop go-to-market strategies, build and manage a full sales pipeline, identify decision-makers, conduct value-based selling, negotiate contracts, forecast accurately, and coordinate cross-functional teams through account launch and implementation.

Manage and grow a portfolio of SMB restaurant partners for Uber Eats. Build long-term relationships, use data-driven insights to track KPIs and identify optimization opportunities, resolve merchant issues, influence feature and service adoption, negotiate with partners, and collaborate with operations, marketing, and product teams. The role is hybrid in Montreal, with in-office work Tuesday through Thursday.

Supports Uber marketplace operations by analyzing data, solving strategic problems, testing operational improvements, and managing cross-functional projects. The intern will work with finance, policy, legal, and other teams to improve pricing, demand, segmentation, and community support while adapting to fast-changing operational conditions.

Prospect and develop new SMB business for Uber for Business by building sales pipelines, communicating product value, meeting revenue targets, and managing the full sales cycle from qualification through contract close. The role includes account prioritization, outbound prospecting, consultative selling, forecasting, pricing, negotiation, and cross-functional coordination for client onboarding and long-term success. This position is based in Chicago with in-office collaboration Tuesdays through Thursdays.

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.