Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Manager (AI/B2B SaaS): Leading the end-to-end onboarding process and customer activation for a supply chain risk management platform with an accent on cross-functional alignment and process optimization. Focus on designing resilient B2B workflows, managing complex engineering dependencies, and integrating AI tools to accelerate analytical workflows.
Location: Hybrid in Vienna, Austria (in-office presence expected two days per week on average)
Salary: from €46,000 gross annually
Company
AI-native company providing real-time visibility into supply chain risks for major enterprises like BMW Group, Hilti, and Lufthansa.
What you will do
- Own the end-to-end onboarding process from signup to full product adoption.
- Act as the bridge between Customer Success Operations, Sales, Data Management, and Engineering to align priorities.
- Manage dependencies across engineering domains including integrations, resilience, and supply chain data.
- Prioritize internal process improvements to remove friction from the onboarding experience.
- Operate within the Shape Up framework to shape and scope work in 6-week cycles.
- Collaborate with design and stakeholders to refine onboarding workflows as the company scales.
Requirements
- 5+ years of experience in Product Management, ideally focused on internal tooling or operations.
- Strong stakeholder management skills and ability to align cross-functional teams.
- Proven ownership mentality, driving end-to-end outcomes without direct authority.
- Solid understanding of dependency management within complex, multi-team processes.
- Must be based in or willing to work from Vienna.
- Proficiency and enthusiasm for using AI tools (e.g., Cursor, Gemini, OpenAI) to support workflows.
Nice to have
- Experience with Shape Up or similar iterative/cycle-based product methodologies.
- Familiarity with onboarding, activation, or customer success workflows.
- Exposure to B2B SaaS, supply chain risk, or data management environments.
- Experience working with integrations or resilience-related engineering teams.
Culture & Benefits
- Hybrid working model with flexible hours.
- Work from anywhere for up to 8 weeks per year.
- Comprehensive health support including mental health support and regular check-ups.
- Professional growth through company-wide training and choice of hardware.
- Additional perks: birthday off, MyClubs partnership, and regular team events.
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