Top Tech Jobs & Startup Jobs in Chicago, IL

Lead the architecture and delivery of Salesforce Marketing Cloud and Data Cloud solutions for partner marketing. Design data models, knowledge graphs, identity resolution, batch and streaming pipelines, APIs, zero-copy integrations, and AI-enabled workflows. Establish orchestration, monitoring, CI/CD, governance, and reliability standards while mentoring engineers and partnering with marketing, data science, and Salesforce stakeholders.

Design and build scalable services, APIs, and data models for content and catalog systems. Lead system and low-level design, drive end-to-end delivery, collaborate with product and architecture teams, improve CI/CD and observability, mentor engineers, and safely integrate AI/ML into content workflows.

Build and scale backend services, APIs, and advertiser-facing features for Expedia Group’s unified advertising platform. Own solutions end to end, including design, implementation, testing, deployment, monitoring, and operational support. Contribute to React frontend development, API and data modeling, performance and reliability improvements, troubleshooting, automation, observability, and secure coding. Collaborate with product and globally distributed engineering teams while supporting high-traffic advertising systems.

Leads the Connectivity Product Marketing team and sets strategy, operating standards, positioning, messaging, and go-to-market programs across the product lifecycle. Translates complex APIs, platforms, and technical roadmaps into clear business value for enterprise partners. Coordinates Product, Commercial, Technical, Marketing, Communications, Creative, and Enablement teams, measures adoption and usage, represents the function with senior leaders, and develops a high-performing product marketing organization.

Lead design, build, and operate scalable GenAI backend services and APIs (Python/FastAPI). Integrate LLM providers, vector stores, and Aurora PostgreSQL for RAG workflows. Implement guardrails, observability, CI/CD, testing, and on-call support. Partner with cross-functional teams and produce documentation to enable safe, multi-tenant GenAI platform adoption.

Leads research vision, strategy, and execution across Expedia Group’s Partner Tools portfolio. Manages and develops a senior research team while remaining hands-on, partners with engineering, product, design, and data science, integrates qualitative and quantitative methods, applies AI-informed research practices, and builds scalable frameworks and insight systems for B2B, API, advertising, and agentic product experiences.

Own end-to-end product design for Membership and Identity experiences across Expedia Group brands. Partner with product, engineering, research, and design teams to translate insights into accessible, scalable flows, prototypes, and high-fidelity experiences. Contribute to design strategy, systems thinking, workshops, critiques, mentorship, and AI-informed product experiences while balancing trust, personalization, usability, and business outcomes.

Serves as a finance business partner to the AMER Commercial team, supporting contract negotiations, performance analysis, growth and profitability initiatives, sales strategy, annual planning, quarterly forecasting, risk and opportunity analysis, executive reporting, and process improvements. Presents financial results to senior stakeholders and provides actionable insights to guide commercial decision-making.

Designs and leads content strategy for Expedia and Insurance product experiences, including onboarding, education, transactional flows, notifications, and loyalty journeys. Responsibilities include UX writing, information architecture, content modeling, research-driven testing, analytics, accessibility, localization, content audits, and stakeholder facilitation. The role influences cross-functional teams to create scalable, inclusive, customer-focused experiences and explores AI technologies to improve content strategy and efficiency.

Design, build, and operate low-latency, high-throughput ad delivery systems for bidding, ranking, auctions, and pacing. Integrate ML signals, collaborate with Product and Data teams, ensure reliability and observability, run operational reviews, and mentor engineers while driving scalable backend APIs and data processing pipelines.