Top Tech Jobs & Startup Jobs in Chicago, IL

Provides legal and strategic advice on global employment and labor matters, including employee relations, compliance, benefits, immigration, recruiting, compensation, policies, and disputes. Drafts and negotiates employment agreements, supports investigations and litigation, advises on AI use in employment processes, monitors changing laws, and develops scalable legal playbooks while partnering with People and business teams worldwide.

Own the end-to-end sales process for existing financial services clients, targeting hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include upselling, prospecting new teams, conducting product demonstrations and trials, forecasting, pipeline development, closing sales, and maintaining client relationships. The role also partners with marketing, product specialists, and product teams to expand awareness, improve engagement, and communicate customer needs.

Leads AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develops coverage roadmaps, channel-check frameworks, expert source strategies, and structured questionnaires. Guides analysts and operations teams on project execution, expert targeting, feasibility, and research quality. Acts as the primary financial services domain expert, identifying companies, subsectors, value chains, and research opportunities while improving workflows and ensuring insights are consistent, actionable, and aligned with investor demand.

Leads AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develops coverage roadmaps, channel-check frameworks, expert source strategies, and structured questionnaires. Guides analysts and operations teams on project execution, expert targeting, feasibility, and quality. Acts as the primary financial services domain expert, identifies new research opportunities, maps value chains, and partners cross-functionally to improve scalable AI-enabled research workflows and deliver differentiated, actionable insights.

Lead product marketing for premium content, proprietary data, and Tegus Expert Call Services. Own positioning, messaging, launches, GTM strategy, and sales enablement. Partner with Product, Sales, Customer Success, and Competitive Intelligence to drive awareness, adoption, pipeline, and expansion. Build and grow a high-performing PMM team, run market/customer research, translate complex capabilities into role-based value props, and create sales assets and operating rhythms to connect GTM with product.

Lead design and reliability of a financial data extraction platform, minimizing human validation through AI, and enhance system correctness for scale.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Lead Customer Success Operations roadmap execution, scale processes and tools, own CS metrics strategy and reporting, manage a Senior Analyst, act as senior escalation for operational issues, partner cross-functionally (Product, Sales, Finance, BI), and operationalize scalable playbooks and governance for CS programs and QBRs.

Support Customer Success Operations by building and maintaining CS metrics and reporting (NRR, GRR, renewal, usage KPIs), partnering cross-functionally on complex deployments, and executing strategic CS programs. Serve as a go-to resource for account-level context, QA reporting, and initiatives like CS platform and usage-based pricing. Influence stakeholders, manage multiple priorities, and translate data into actionable insights for CS leadership.