Remote Product management Jobs · Python

• Own and execute a strategic roadmap for AI research, messaging, and context capabilities.
• Enhance Apollo's AI research agents to surface actionable insights from the web.
• Define how AI understands each user's business, transforming generic AI outputs into relevant recommendations.

Detail-oriented, highly organized, and eager to learn. Provide crucial administrative support to Project Managers and the Program Manager. Support small internal initiatives within the PMO to increase independence from development teams.

• Oversee execution of a highly complex AI-enablement program, collaborating with stakeholders to integrate AI into design, research, writing, and operational workflows.
• Synthesize complex technical and business challenges into clear strategies and actionable plans that drive customer value and efficiencies.
• Ensure transparency and stakeholder alignment through clear communication of program status, risks, and resourcing choices to technical, business, and executive audiences.

• Understand and communicate client business needs and issues.
• Enhance and maintain data products by understanding the data and business goals.
• Compare datasets to ensure data quality and derive actionable insights.

The AI Agent Development Project Manager (L7) is a senior delivery leader who owns end‑to‑end execution of AI‑augmented software programs. With 12–16 years of experience, this role blends hands-on AI agent development with program management and people leadership. You will start by managing an AI engineering team and grow the organization to include infrastructure, data, integration, and application teams. You’ll partner closely with Growth, Solution Delivery, Finance, and HR to plan and deliver outcomes on time, on budget, and in compliance with client and industry requirements.

As a Senior Product Manager in the Anti-Fraud System (AFS) Product Lab, drive the development of cutting-edge AFS solutions for the gaming industry. Strong product management skills and knowledge of fraud prevention are essential. You should also be comfortable understanding technical and payment architecture, and possess at least basic SQL/Python skills.