Top Tech Jobs & Startup Jobs in Chicago, IL

Lead sales operations to optimize revenue growth by defining strategy, streamlining processes, managing CRM and pipeline, delivering performance analytics, coordinating cross-functional GTM efforts, and mentoring teams while aligning sales execution with company objectives and stakeholders.

The Head of Sales Enablement will design and execute a sales enablement strategy, developing resources, metrics, and a high-performing team to drive revenue impact in AI and ML environments.

Own the full sales cycle for State, Local, and Higher Education (SLED) customers in the Western US. Drive net-new acquisition via outbound outreach, partner/channel engagement, and executive relationships. Collaborate with SDRs, Sales Engineering, Product, and Customer Success to deliver proofs-of-concept, navigate procurement, and close deals while shaping product priorities with customer feedback.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Provide legal guidance for product development and commercialization: create templates and playbooks, manage IP and open source compliance, mitigate product lifecycle risks, coordinate legal input for launches, advise product, engineering and business teams, and monitor relevant technology regulations.

Lead and scale global corporate communications: build an eight-person team, define strategy across executive, policy, internal, crisis and enterprise communications, integrate AI for content, manage channels and events, drive storytelling and data-informed programs to protect and grow company reputation.

Drive analytics and measurement for AI product adoption and impact. Build agentic analytics, small language models, predictive models, and customer-facing insights. Design and run experiments (A/B tests, causal inference), ship production models, and translate ambiguous business questions into actionable recommendations used by product, sales, and leadership.

Lead and mentor a GPU infrastructure engineering team to design, deploy, and scale GPU/TPU clusters. Define technical roadmap, implement topology-aware scheduling, monitoring, IaC, and cost/capacity optimization. Collaborate with AI researchers, cloud providers, and cross-functional teams to ensure reliable, secure, and performant infrastructure.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead end-to-end technical programs for ML infrastructure (inference, serving, efficiency, endpoints). Coordinate cross-functional teams, prioritize overlapping projects, manage timelines, budgets and scope, drive incident management and continuous improvement, and communicate status to engineering and leadership.