Top Tech Jobs & Startup Jobs

Designs and owns Python backend services, scalable data pipelines, Spark processing workflows, data models, ETL/ELT systems, and data distribution patterns. Manages Terraform-based cloud infrastructure, ensures data quality and observability, leads technical workstreams, performs production root-cause analysis, and mentors junior engineers. Collaborates with product, data, and platform leaders to deliver reliable, scalable solutions.

Supports investment guideline compliance testing and reporting across KKR’s insurance asset classes. Responsibilities include reviewing compliance reports, launching sidecar processes, responding to client inquiries, performing scenario analysis, onboarding pre-trade compliance rules, automating analyses with AI, and ensuring data quality. The role partners with investment teams, portfolio managers, senior management, clients, and internal stakeholders.

Supports monthly, quarterly, and annual investment accounting close processes, reconciliations, financial reporting, analytical reviews, and accounting assessments for diverse investments. Coordinates with cross-functional teams to resolve reporting issues, supports system implementations and testing, documents accounting conclusions and controls, and identifies process automation opportunities. The role also performs ad hoc analyses and assists with process enhancements.

Monitors and analyzes U.S. and international insurance regulatory, legislative, and public policy developments. The Analyst assesses business implications, prepares executive briefings and presentations, supports regulator and policymaker engagement, coordinates cross-functional regulatory priorities, tracks insurance trade associations, and helps manage external advisors. The role requires strong analytical, communication, presentation, organizational, and relationship-building skills, plus familiarity with insurance regulation and financial services policy.

Provides high-level administrative support to multiple senior executives, managing complex calendars, correspondence, meetings, events, domestic and international travel logistics, expense reports, and confidential information. Coordinates with investors, portfolio organizations, guests, and internal stakeholders while anticipating executive needs, prioritizing competing demands, preparing documents and presentations, and supporting team productivity. Requires strong organization, discretion, communication, research, judgment, and Microsoft Office skills.

Build and deploy production AI applications, agents, integrations, and workflow automations for investment and corporate teams. Responsibilities include understanding business workflows, identifying AI opportunities, designing architectures, integrating structured and unstructured data, developing evaluation frameworks, ensuring security and reliability, and driving adoption. The engineer will partner with business, product, data, security, legal, and compliance teams while converting successful implementations into reusable AI platform capabilities.

Provides comprehensive executive support for Global Client Solutions, including complex calendar management, correspondence, domestic and international travel logistics, meetings, events, expense reports, research, and confidential information management. Coordinates with executives, investors, portfolio organizations, guests, and internal stakeholders while anticipating needs, resolving scheduling conflicts, maintaining organized records, and supporting team productivity.

Manages U.S. insurance tax compliance, including federal, state, local, non-U.S., premium, and excise tax filings. Coordinates with internal Tax, Finance, and Controllership teams and external Big Four providers. Oversees tax audits, monitors legislative and regulatory changes, supports insurance transactions and reinsurance arrangements, and drives process improvements, automation, documentation, and internal controls.

Serve as a strategic advisor to Finance leadership, focusing on talent management, workforce planning, performance optimization, and organizational effectiveness to drive results.

Partner with business and technology teams to build analytics, dashboards, and data pipelines for private markets and credit. Write and optimize complex SQL, contribute to Python-based data pipelines, improve data quality, automate workflows, and apply AI/LLMs to enhance reporting and analytics.