Top Tech Jobs & Startup Jobs in Chicago, IL

The Senior Manager will drive new business in market research, forging client relationships and promoting insight solutions through consultative selling and collaboration with internal teams.

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.

Support pilots and nonstandard referral workflows by executing manual processes, reconciling data, documenting evolving procedures, identifying risks, and partnering cross-functionally to inform automation and SOP development.

Own top-of-funnel for assigned segments: source leads, run multi-touch outbound cadences (email, LinkedIn, phone), qualify prospects, and book meetings. Build and optimize AI-assisted outreach using AiSDR, HubSpot, Groove, Clay, and Claude, iterate on messaging and automations, and hand off qualified opportunities to Account Executives with clear context.

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

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Senior Backend Engineer at Akkio, you'll design and build backend systems for an AI-driven platform, lead projects, mentor junior engineers, and optimize cloud infrastructure.

Design, build, and maintain data models, pipelines, and access layers to support care delivery, operations, and analytics. Ensure data quality, governance, and reliability while optimizing infrastructure and performance. Serve as a technical leader, review code, set engineering best practices, and collaborate cross-functionally to translate business needs into scalable data solutions.