Junior Product Manager (AI & Workflow Automations)

The Mission: Support the development and scaling of a modern SaaS platform powered by agentic AI systems. You will bridge the gap between user needs and engineering execution, bringing a strong product mindset to automate complex B2B workflows. We are looking for a highly proactive builder who wants to grow alongside a cutting-edge AI product.

The Stack & AI Tooling:

• B2B SaaS infrastructure and third-party integrations.

• Active daily use of AI-native tools and agentic systems to accelerate spec writing, data analysis, and product documentation.

The Embedded Model:

• You will embed directly into an agile, fast-paced US/EU client product team, collaborating closely with senior product leadership and engineering from day one.

• Strict Experience Cap (1–3 Years): We are exclusively looking for emerging, high-potential product managers with 1 to 2 (maximum 3) years of commercial experience. Please note: We are looking for proactive, high-agency startup builders. If you have 5+ years of PM experience, this role will not be a fit.
• Mindset: A highly proactive approach, strong product mindset, and the ability to operate with "high agency" — you don't wait for tasks; you find problems and propose solutions.
• Communication: B2+ / C1 (Upper-Intermediate / Advanced) English. You must be comfortable participating in live calls with US stakeholders.
• Tech & AI Interest: A solid understanding of technical concepts (APIs, integrations) and experience and interest in modern agentic AI workflows.

• Product Execution & Scoping: Work on clear, actionable user stories, acceptance criteria, and technical specifications for the engineering team.
• User Discovery & Feedback: Proactively participate in customer interviews, identify friction points, and advocate for the user in every product decision.
• Data-Driven Iteration: Track feature adoption, analyze user behavior metrics, and prepare product reports to guide future development cycles.
• Cross-Functional Alignment: Act as the daily bridge between design, engineering, and customer success, taking extreme ownership to unblock development.
• Modern AI Paradigm: Keep a pulse on industry trends, specifically regarding how autonomous, agentic AI systems can be leveraged to solve real-world B2B problems.