Sr. Product Manager AI Automation - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Product Manager based in United States.

This role offers the opportunity to shape the future of AI-powered automation within a fast-growing technology environment. You will own the product strategy, governance, and delivery framework for enterprise AI solutions that move from experimentation to secure production systems. Working across engineering, security, data, and business teams, you will transform complex needs into scalable AI products and platforms. The position requires a strategic product leader who can balance innovation, risk management, operational excellence, and business impact. You will define priorities, establish governance models, and enable teams to safely adopt AI-powered applications across the organization. This remote opportunity is ideal for someone passionate about AI transformation, cloud platforms, and building solutions that create measurable value.

Accountabilities:

The Sr. Product Manager will lead the roadmap, governance, and operational model for AI automation initiatives. This role acts as the central connection point between business teams, engineering, security, and data stakeholders to ensure AI solutions are secure, scalable, and aligned with business objectives.

• Own the intake and prioritization process for AI applications, automations, and agent requests across multiple business functions.
• Build and maintain a strategic roadmap by evaluating initiatives based on business value, technical feasibility, capacity, risk, and organizational priorities.
• Establish governance standards to ensure AI solutions meet security, compliance, access control, and data protection requirements before production deployment.
• Define quality frameworks for AI solutions, including evaluation criteria, acceptance standards, monitoring processes, and incident response approaches.
• Develop and maintain responsible AI practices, including fairness reviews, explainability requirements, human oversight processes, and alignment with emerging AI regulations.
• Create and improve the operating model that enables business teams to build prototypes while ensuring production-ready solutions meet enterprise standards.
• Lead buy-versus-build evaluations for AI tools, platforms, and vendor solutions in collaboration with security, procurement, and technical teams.
• Partner with engineering teams on cloud platform capabilities, deployment processes, authentication, monitoring, and operational readiness.
• Communicate product strategy, priorities, risks, and progress updates to business leaders and executive stakeholders.
• Drive adoption through enablement programs, documentation, training, and ongoing stakeholder support.