Top Tech Jobs & Startup Jobs

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Own systems end-to-end, pair with engineers to transfer agentic practices, perform AI-augmented code reviews, and judge when to trust or intervene with agent outputs.

Serve as the sole HR representative for Philippines employees, ensuring local compliance, managing end-to-end onboarding, administering Dayforce HRIS, coordinating benefits and payroll activities, supporting M&A integrations and data migrations, and contributing to policy, performance management, and engagement initiatives under the Director of HR.

Lead end-to-end delivery of strategic AI initiatives, drive AI adoption across teams, coordinate cross-functional stakeholders, apply data to measure success, and prioritize the AI project portfolio with leadership.

Hunt and close complex B2B enterprise SaaS deals in a defined territory. Build pipeline through outbound prospecting, run full sales cycles, engage C-suite buyers, use value-based frameworks, maintain CRM accuracy, and travel ~25%.

Design, build, and maintain scalable ETL/ELT data pipelines and backend services. Implement data validation, monitoring, performance optimizations, CI/CD, and operational support while partnering with product and business stakeholders.

Deliver production features and AI-powered modernizations using agentic development. Build and operate multi-agent workflows, pair with engineers to transfer agentic practices, validate agent output, maintain software quality, meet sprint commitments, reduce backlog, and produce scalable, well-documented code.

Design, develop, test, and deploy scalable enterprise software. Collaborate with product and development teams using agile practices, meet sprint and release targets, reduce escaped defects, write unit tests, and produce clear documentation to ensure high-quality, reliable releases.

Manage end-to-end fund manager data collection and documentation for institutional clients. Liaise with clients and fund managers, track outreach and timelines, ensure data accuracy and completeness, reduce manual overhead with tools, and maintain throughput and quality across high-volume reporting cycles.

Lead and deliver agentic AI initiatives across engineering, defining KPI frameworks, driving agentic workflow adoption, modernizing brownfield systems, planning capacity and budget, aligning stakeholders, and managing performance for AI proficiency.

Senior Analyst responsible for data analysis and reporting to support portfolio management and client outcomes. Must be detail-oriented, organized, prioritize effectively, and excel at time management and anticipatory decision-making. Works within a tech-forward, AI-informed team focused on analytics for institutional investors.