Top Tech Jobs & Startup Jobs in Chicago, IL

Own a defined enterprise territory to drive revenue by selling SaaS solutions into CFO/CIO organizations. Build pipeline, lead complex consultative deals, negotiate contracts, forecast in Salesforce, and coordinate internal resources to deliver proposals and demos.

As a Data Engineer, you will build and maintain data pipelines, convert data into metrics, and operate the platform on AWS. Responsibilities include writing production code, processing data from APIs, and enhancing the orchestration layer using Dagster, while ensuring compliance in a HIPAA-regulated environment.

Assess and manage cybersecurity risk for bank IT systems by performing formal risk assessments, leveraging threat intelligence, developing controls and mitigations, reviewing configurations, supporting BC/DR and audits, and coordinating with stakeholders and vendors.

The AI Data Specialist will handle data-related tasks such as data collection, evaluation, annotation, and tagging for AI content improvement across various formats.

As a Tech Specialist, you will bridge business ideas with digital tools, use AI for automation, troubleshoot issues, and assist the CTO while learning the tech department's operations.

Own product strategy and roadmap for an agentic AI platform that enables practitioners and AI agents to run defensible tax analysis on trusted data. Define compliance-grade requirements, agent access surface, and data-product contracts. Manage external data sourcing, measure success by practitioner outcomes, and collaborate closely with AI and data engineering leaders to deliver production results.

The DevRel will create technical content, engage with the AI community, provide product feedback, and support workshops to drive developer adoption.

Configure and maintain marketing technology platforms and tracking across customer touchpoints. Implement, validate, and troubleshoot event schemas, tags, pixels, APIs, webhooks, and integrations. Build audiences, workflows, personalization, and QA plans; translate business needs into technical requirements and documentation. Partner with cross-functional teams to ensure data quality, attribution, lead routing, and responsible data handling.

Solutions Architects at Cape lead federal customer engagements, addressing privacy and security challenges while collaborating across teams to deploy technology effectively.

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