AI SDLC Engineer integrating modern AI tooling into the full Software Development Life Cycle at Quento Technologies S.A. Collaborating with teams to enhance product development and delivery.
About the role
- AI Automation Manager driving automation to unlock business impact through AI technology at Moss. Collaborating with teams to implement AI solutions and training leaders in best practices.
Responsibilities
- Lead the implementation and configuration of our AI orchestration platform (e.g., n8n or equivalent).
- Collaborate with Finance, Operations, Sales, Risk, and other functions to identify high-value automation opportunities.
- Design, prototype, and co-implement AI-driven workflows—hands-on with low-code tools and prompts.
- Define and track adoption and ROI metrics (time saved, error rates, automation reliability, business impact).
- Develop and communicate AI usage guidelines and guardrails, working closely with Legal, Compliance, and Security teams.
- Create internal content (guides, tutorials, showcases) to scale AI fluency across Moss.
Requirements
- Experience in business operations, process design, product management, or consulting.
- Experience in fintech, SaaS, or B2B tech is a plus.
- Technical fluency: Comfortable with low-code/no-code automation tools, APIs, and prompt design.
- Strong understanding of business processes in at least one of Finance, Operations, or Revenue functions.
- Skilled in driving organizational change, adoption, and training programs.
- Ability to treat internal automations like products—prioritizing, iterating, and measuring success.
- Excellent stakeholder management and the ability to explain technical concepts to non-technical audiences.
Benefits
- Top-of-market compensation package, including equity.
- 20 days “work from abroad”
- 600EUR/GBP Learning & Development Budget
- Other local benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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