This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Product Management, AI Agents and Ecosystem in Switzerland.
In this role, you will lead the strategy and execution of an AI agent platform, focusing on interoperability and ecosystem growth. You will define how agents connect with external models and platforms, drive adoption of agent-building tools, and ensure the platform delivers tangible value to users. Collaborating closely with engineering, product, and security teams, you will set the vision for multi-agent systems, tool integrations, and platform standards. This position offers the opportunity to shape a high-impact AI product in a fast-moving, globally distributed environment, influencing both product innovation and customer experience. You will help build the processes, frameworks, and adoption strategies that allow teams to deliver high-value agents efficiently and at scale.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
In this role, you will lead the strategy and execution of an AI agent platform, focusing on interoperability and ecosystem growth. You will define how agents connect with external models and platforms, drive adoption of agent-building tools, and ensure the platform delivers tangible value to users. Collaborating closely with engineering, product, and security teams, you will set the vision for multi-agent systems, tool integrations, and platform standards. This position offers the opportunity to shape a high-impact AI product in a fast-moving, globally distributed environment, influencing both product innovation and customer experience. You will help build the processes, frameworks, and adoption strategies that allow teams to deliver high-value agents efficiently and at scale.
Accountabilities
- Lead product strategy for the AI agent platform, emphasizing interoperability and an extensible ecosystem.
- Define integration approaches with external AI models and agent platforms, ensuring clear customer value.
- Drive the roadmap for multi-agent patterns, tool integrations, and standards such as Model Context Protocol (MCP).
- Collaborate with engineering and security teams to align on vision, execution, and operating models.
- Partner with cross-functional product teams to enable creation of high-value agents, flows, and catalog offerings.
- Develop strategies to grow adoption and usage of agent tools, AI catalogs, and out-of-the-box solutions.
- Communicate product strategy, trade-offs, and decisions effectively in an async-first, distributed work environment.
- Proven experience leading AI agent platforms, agent builders, or similar low-code/no-code/code-first products.
- Deep understanding of the AI ecosystem, including interoperability patterns across models and agent providers (e.g., OpenAI, Anthropic Claude, Google Gemini).
- Knowledge of multi-agent systems and approaches for cross-ecosystem agent collaboration.
- Familiarity with tools and standards for agent interoperability, such as MCP, and an open-platform mindset.
- Experience driving adoption of AI products, including out-of-the-box agents, catalogs, and support for custom or external agents.
- Strong cross-functional collaboration and leadership skills across engineering, product, and partnerships teams.
- Excellent communication and comfort working asynchronously across regions.
- Strategic thinking and ability to define roadmaps, operating models, and high-level product vision.
- Competitive compensation and equity participation.
- Flexible remote-first work environment.
- Paid time off and parental leave.
- Home office support and wellness stipends.
- Opportunities for professional growth, learning, and development.
- Inclusive and globally distributed team culture with high autonomy and impact.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.