Top Tech Jobs & Startup Jobs in Chicago, IL

Own an enterprise territory and manage the full sales cycle for complex SaaS/PaaS infrastructure solutions. Responsibilities include prospecting, discovery, negotiation, closing, territory planning, multi-threaded selling across technical and executive stakeholders, business value assessments, CRM management, and MEDDPICC-based forecasting. The role requires strong technical fluency, enterprise sales experience, consistent quota overachievement, and startup experience in high-growth environments.

Own and build targeted account-based demand generation for platform engineering and infrastructure buyers: design multi-touch ABM campaigns, manage paid channels and livestreams, align with sales/PMM/DevRel, and own pipeline reporting, budget allocation, and channel performance to drive qualified opportunities.

Lead product direction for vMetal, defining specs and tradeoffs, validating alpha/beta builds on bare metal, engaging platform-engineer customers, positioning the product in the GPU/bare-metal ecosystem, and aligning engineering, sales, and GTM teams.

Lead vCluster Labs' technical B2B content strategy across buying stages, SEO, AEO, thought leadership, and content production. Build campaigns for AI cloud and enterprise buyers, coordinate DevRel and Product Marketing calendars, ghostwrite executive content, and develop technical reports, customer stories, webinars, and reference architectures. Establish AI-assisted workflows, maintain technical accuracy, and measure organic traffic, conversions, trials, demos, and sourced or influenced pipeline.

Build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and resilient network control loops. Define large-scale network behavior around BGP, convergence, failover, and production failures. Lead technical direction, design standards, and customer deployments while writing production software in Go or Python for AI infrastructure.

Leads global people operations and strategic HR programs for a rapidly scaling, distributed technology company. Builds AI-enabled HR tooling and automations, manages global employment compliance and EOR infrastructure, administers Rippling, develops leadership training, and oversees culture and engagement programs across 21 countries. Partners with leadership on compensation, performance cycles, workforce expansion, policies, and operational infrastructure.

Build and lead vCluster Labs’ global VAR, OEM, distributor, and alliance channel from zero to revenue. Recruit and activate strategic partners, establish commercial models and deal registration, secure OEM integrations, drive co-selling and enablement, manage MDF, inspect partner pipeline, and own bookings. Initially operate as an individual contributor, then hire and lead the channel organization across North America, EMEA, and APJ.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Lead global OEM, storage, and ISV alliances for vCluster Labs, owning partner strategy, executive relationships, joint solution validation, seller enablement, commercial agreements, pipeline, forecasting, and partner-attributed bookings. Build integrations and verified AI Factory configurations with hardware, storage, networking, software, NVIDIA, distributors, and channel partners. Drive partner-sourced revenue through field activation, joint pursuits, resale paths, marketing, and disciplined MEDDPICC-based pipeline management.

Own quote-to-cash processes, Salesforce administration, automation, deal desk support, commissions support, reporting, dashboards, data hygiene, and process documentation. Provide rapid support and enablement to sales representatives, maintain accurate pipeline and ARR data, resolve discrepancies across systems, and help design scalable revenue operations processes for a growing B2B SaaS company.