Sr. Product Manager: AI Automation in United States Embassy at 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.

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.
• Define success metrics related to adoption, security posture, production speed, cost efficiency, and business outcomes.
• Monitor AI platform economics, including vendor costs, infrastructure expenses, and model performance trade-offs.

The ideal candidate is a technically fluent product leader with experience managing enterprise platforms, AI initiatives, and complex cross-functional programs. You should be comfortable working with engineering teams while translating business needs into clear product strategies.

• 7+ years of experience in product management, technical program management, IT platforms, or related technology leadership roles.
• Proven experience managing intake, prioritization, and delivery of complex internal technology initiatives.
• Strong understanding of software delivery concepts, including CI/CD, cloud environments, authentication, identity management, secrets management, monitoring, and production operations.
• Practical experience with AI and LLM application patterns, including assistants, agents, retrieval systems, and automation workflows.
• Knowledge of AI lifecycle management, including evaluation frameworks, model monitoring, versioning, and regression management.
• Understanding of security and data governance principles, including access controls, data classification, least privilege, and audit requirements.
• Familiarity with responsible AI frameworks and emerging regulations such as NIST AI RMF and EU AI Act.
• Strong communication skills with the ability to align engineers, business stakeholders, and executives.
• Experience managing enterprise software integrations and API-driven platforms is a plus.
• Experience with cloud platforms such as GCP, AWS, or Azure is preferred.
• Background working in regulated or data-sensitive industries such as insurance, finance, healthcare, or similar environments is a plus.
• Experience evaluating AI vendors, SaaS platforms, security requirements, and compliance considerations is preferred.
• Familiarity with cloud cost management, FinOps, or AI infrastructure economics is a plus.

• Competitive salary range of $100,000 – $180,000 annually.
• Fully remote work flexibility.
• Medical, dental, and vision coverage.
• Paid holiday and vacation time.
• Health and wellness days.
• Additional paid birthday day off.
• Opportunity to work on innovative AI-powered solutions impacting a global industry.
• Collaborative, inclusive culture focused on growth, trust, and professional development.