Top Tech Jobs & Startup Jobs in Chicago, IL

Own enterprise new-logo acquisition from prospecting through contract close. Build pipeline, lead value-based sales cycles with senior stakeholders, deliver product demonstrations, negotiate commercial terms, maintain Salesforce forecasts, and use AI-assisted sales tools to improve prospecting and deal execution. Partner with Marketing and Business Development to accelerate revenue, provide market feedback, and consistently exceed new-business targets.

Own and expand strategic enterprise accounts by developing multi-year account plans, creating pipeline, leading complex multi-stakeholder sales cycles, engaging executive buyers, and selling platform-level solutions. The role requires accurate forecasting, strategic deal shaping, cross-functional collaboration, and expansion of OfficeSpace adoption across workplace, asset, and employee experience use cases.

Own the success, retention, renewal, and growth of strategic enterprise SaaS customers. Build executive relationships, lead onboarding and adoption, develop success plans, conduct QBRs, identify expansion opportunities, and guide customers toward measurable business outcomes. Use AI and customer data to predict risk, automate workflows, improve engagement, and inform strategic recommendations. Partner cross-functionally with Sales, Product, Engineering, Professional Services, and Support to resolve issues and influence product direction.

Own enterprise new-logo acquisition from prospecting through close. Build pipeline, lead value-based sales cycles with senior stakeholders, deliver product demos, negotiate contracts, manage forecasts, and exceed revenue targets. Use AI-assisted prospecting, proposals, pricing, and deal insights while partnering with Marketing and Business Development. The role requires enterprise B2B SaaS sales experience, full-cycle outbound selling, strong presentation and negotiation skills, and familiarity with facilities, workplace, HR, IT, finance, or real estate buyers.

Lead technical strategy for complex B2B SaaS sales opportunities from discovery through close. Responsibilities include solution architecture, tailored software demonstrations, technical evaluations, POCs, enterprise integration discussions, RFPs, security reviews, and solution documentation. Partner with Account Executives and internal teams while using and validating AI tools to accelerate research, solution design, and customer deliverables.

Own technical and solution strategy throughout complex B2B SaaS sales cycles. Lead discovery, solution architecture, tailored demonstrations, technical evaluations, POCs, RFPs, security reviews, and integration discussions. Partner with Account Executives and internal teams to translate customer needs into measurable workplace outcomes. Use and validate AI tools for research, solution design, documentation, and workflow improvement while maintaining technical judgment and customer trust.

Own and expand a portfolio of strategic enterprise accounts through multi-year account planning, executive engagement, pipeline creation, complex deal management, and platform-level solution selling. Build relationships with C-level stakeholders, identify whitespace opportunities, shape value propositions, forecast accurately, and collaborate with Client Success, Product, and Solutions teams to drive adoption, measurable client outcomes, and commercial growth.

Own the strategy, vision, roadmap, discovery, execution, and measurement of workplace management and employee engagement products. Partner with Engineering, Design, Research, Marketing, Sales, Customer Success, and Support to identify customer problems, prioritize opportunities, leverage AI-enabled workflows, deliver product capabilities, and measure customer and business outcomes.

Owns the success, retention, renewals, and expansion of strategic enterprise SaaS customers. Builds executive relationships, leads onboarding and adoption, develops success plans, conducts QBRs, analyzes customer health and business outcomes, and partners cross-functionally to resolve issues and influence product direction. Uses AI and customer success platforms to predict risk, automate workflows, identify opportunities, and improve scalable customer success practices.