Jobs at ablefy

Own and shape product capabilities across ablefy’s digital business platform. Define product vision, success metrics, and strategy; validate customer and market needs; prioritize opportunities; align engineering and design partners; launch minimum lovable products; measure outcomes; and iterate rapidly. The role requires close customer engagement, entrepreneurial ownership, data-driven decisions, systems thinking, and agility around emerging AI capabilities and market changes.

Own product marketing for ablefy’s digital business platform, including customer research, product positioning, messaging, storytelling, go-to-market strategy, launches, product education, onboarding, lifecycle communications, and sales enablement. Use customer, product, and commercial insights to improve acquisition, activation, adoption, and expansion. Partner cross-functionally with Product, Design, Engineering, Marketing, Sales, and Customer Success across German- and English-speaking markets.

Manage a scaled B2B SaaS customer portfolio of creators and digital entrepreneurs, driving retention, expansion, feature adoption, and revenue growth. Use customer health data, performance reviews, webinars, targeted content, and proactive outreach to reduce churn and improve customer outcomes. Collaborate with Sales, Marketing, Analytics, and Product/DevOps on seller-facing programs, troubleshoot payment and billing issues, and host recurring live webinars in German.

Own and improve the software delivery platform from pull request to production. Responsibilities include designing CI/CD pipelines, managing AWS infrastructure with Terraform, improving observability and reliability, supporting incident response, implementing security and compliance controls, and enabling product teams to own their services. The role also involves cost visibility, internal developer tooling, automated verification, and adapting release processes for AI-assisted software development.

Own ablefy’s entire product portfolio, roadmap, AI transformation, product operating model, commercial outcomes, metrics, and discovery practice. Lead and develop product managers while partnering closely with Engineering, Design, Data, Sales, Marketing, and Customer Success. Drive portfolio coherence across creator tools, commerce, checkout, payments, and buyer experiences, with accountability for measurable business results and an AI-native product organization.

The Data Analyst will own analytics projects, develop customer-facing data products, conduct quantitative analysis, and drive decision-making through data insights.