Top Logistics Jobs in Chicago, IL

Lead FP&A for global Value Services supporting Customer Success, Professional Services, Support, and related teams. Partner with the CCO, manage a team of three, own budgeting, forecasting, financial modeling, performance reporting, executive presentations, ad-hoc analysis, process improvements, headcount and spend controls to optimize margins and support strategic initiatives.

Conduct risk-based penetration tests, assumed-breach exercises, adversary simulations, and purple-team engagements across enterprise systems, applications, networks, identity platforms, and cloud environments. Evaluate preventive, detective, and response controls, validate detection and incident-response effectiveness, and translate technical findings into risk-based remediation recommendations for technical teams, executives, Internal Audit, and the Audit Committee. Build an independent, continuously improving offensive-security assurance program.

Designs and validates enterprise solutions for strategic customers using HERE APIs, SDKs, platform services, and mapping technologies. Leads technical discovery, architecture design, demonstrations, workshops, evaluations, and proof-of-concept engagements. Partners with Sales, Product, Engineering, Services, and Customer Success teams to address customer requirements, risks, integrations, and implementation readiness. Communicates technical recommendations and tradeoffs to business and technical stakeholders while supporting account planning, competitive evaluations, expansion opportunities, and successful presales-to-implementation handoffs.

The Risk Specialist evaluates freight shipments and carrier profiles for policy, customer, and regulatory compliance. Responsibilities include carrier vetting, risk monitoring, escalation resolution, in-transit mitigation, quality reviews, commodity trend analysis, SOP development, reporting, and basic workflow automation. The role collaborates with Sales, Business Development, Tracking, and Operations teams while communicating with carriers and managing risk workflows within service-level agreements.

Research target distribution and warehouse accounts, identify decision-makers, conduct high-volume outbound outreach, qualify leads, document account insights in Salesforce, and schedule meetings for enterprise account executives. The role also requires articulating Loadsmart’s SaaS solutions, developing industry and competitive knowledge, refining prospecting messaging, and collaborating with sales teammates to achieve growth goals.

Sell supply chain and logistics SaaS solutions to Fortune 1000 customers, managing 15–25 strategic accounts. Responsibilities include exceeding quota, acquiring new business, expanding existing accounts, developing account strategies, mapping stakeholders, coordinating cross-functional go-to-market efforts, communicating value, managing pricing strategies, collaborating with customer success teams, and maintaining accurate Salesforce records.

Lead the design and implementation of IAM in a microservices architecture, ensuring security orchestration while mentoring engineers and engaging stakeholders in the development process.

Own three to five concurrent cross-functional programs spanning Finance, Product, Engineering, Legal, Operations, and Go-to-Market. Diagnose and redesign workflows, perform data-driven analysis, coordinate dependencies, communicate recommendations to leadership, and transition completed initiatives to permanent owners. Support FP&A, Deal Desk, business operations analytics, QBRs, and leadership offsites.

Leads the payments and banking product roadmap for a regulated cannabis fintech platform. Owns product vision, KPIs, market research, compliance requirements, partner integrations, prioritization, and customer adoption. Collaborates with executives, financial institutions, fintech providers, designers, engineers, marketing, and account teams to launch embedded payment, banking, liquidity, and credit capabilities.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.