Top Tech Jobs & Startup Jobs

Architect and scale global network security systems for bot detection, bot mitigation, and DDoS defense. Build distributed backend systems, ML-driven threat defense pipelines, feature stores, and real-time streaming infrastructure. Lead technical strategy, vendor integrations, architecture reviews, security KPI development, experimentation, and cross-functional initiatives while mentoring engineers.

Manage and grow a portfolio of SMB restaurant and merchant accounts across the Midwest. Responsibilities include retention, upselling, product adoption, merchant training, KPI and OKR tracking, business reviews, vendor management, issue resolution, and identifying expansion opportunities. The role is based in Chicago with three days per week in the office and may require occasional travel.

Provide strategic administrative and operational support to senior leadership by managing complex calendars, international travel, events, action items, confidential financial administration, expenses, and facilities coordination. The role requires anticipating logistical challenges, prioritizing competing demands, tracking deadlines, and collaborating across a global executive assistant community in a fast-paced environment.

Own end-to-end hardware quality for autonomous vehicle data collection platforms transitioning to mass production. Develop validation, inspection, and acceptance testing processes; manage APQP, PPAP, PFMEA, SPC, and MSA across global suppliers; lead failure investigations, containment, rework, and corrective actions; and drive continuous improvement, technology transfer, and compliance with automotive quality standards.

Build and manage a mid-market B2B sales pipeline for Uber for Business. Responsibilities include prospecting, acquiring new customers, value-based selling, negotiating contracts, forecasting, meeting quotas, and coordinating launches with Product, Operations, and Implementation teams. The role requires developing go-to-market plans, identifying decision-makers, prioritizing leads, and driving adoption in a fast-paced, high-growth environment.

Develop autonomy algorithms and foundation models for semantic understanding of real-world driving data. Architect scalable machine learning systems, optimize sensor datasets through processing and auto-labeling, and deploy ML techniques into production. The role requires collaboration across platform, product, security, and engineering teams while solving complex autonomous-driving edge cases and maintaining high technical standards.

Build and operate production machine learning and backend systems for AI data and evaluation products. Own a business vertical end to end, from identifying opportunities and setting direction to delivering revenue-generating products. Partner with customers, product managers, and engineers; drive adoption, customer value, and execution quality. Apply machine learning across multimodal data, LLM evaluation, physical-world data, robotics, audio, video, and related domains.

Provides legal counsel on regulatory matters affecting Uber’s Mobility and Delivery businesses. Responsibilities include agency advocacy, regulatory proceedings, investigations, legislative analysis and drafting, business counseling, compliance strategy, and coordination with Operations, Policy, Safety, Product, Insurance, and litigation teams. The role requires managing complex regulatory inquiries and developing legal strategies for high-impact issues across Northeastern U.S. markets.

Provides strategic administrative support to senior leaders by managing complex calendars, domestic and international travel logistics, visas, events, deadlines, budgets, expenses, and confidential operational tasks. The role requires anticipating leadership needs, coordinating stakeholders in a global matrixed environment, and driving accountability amid shifting priorities and ambiguity.

Respond to and investigate security incidents across Uber’s platform, conduct digital forensics and threat hunting, and develop automated response scripts and playbooks. Analyze logs, network traffic, and host data to determine incident scope and root cause. Collaborate with security and engineering teams to mitigate threats, address vulnerabilities, share intelligence, and communicate findings that improve the company’s long-term security posture.