Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI automation initiatives and drive impactful workflows across teams.
- Company: Join Moss, a dynamic SaaS scale-up with a vibrant culture.
- Benefits: Enjoy top compensation, equity, and a generous learning budget.
- Why this job: Make a real difference by harnessing AI to transform business processes.
- Qualifications: Experience in operations or product management; tech-savvy with automation tools.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
At Moss, we give finance professionals the power to automate their day‑to‑day and make forward‑thinking decisions. Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted’s Rising 100 and LinkedIn\’s Top Startups, we’re here to help propel your career and together, make Moss a lasting success.
We’re looking for an AI Automation Manager to drive automation across Moss and help teams unlock real business impact through AI. Reporting directly to the COO, you’ll play a hands‑on role in identifying opportunities, collecting requirements, building workflows, and driving adoption of our automation tools. As the expert in Moss’s AI and automation stack, you’ll partner with teams across the business to ensure they use AI effectively and efficiently. This is an execution‑focused role where success is measured by the tangible business outcomes you deliver through automation.
Responsibilities
- AI Platform Setup & Enablement
- Lead the implementation and configuration of our AI orchestration platform (e.g., n8n or equivalent), in collaboration with Platform Engineering.
- Define guardrails, monitoring standards, and escalation paths for AI‑powered workflows.
- Business Partnering & Workflow Design
- 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.
- Build reusable templates and playbooks to accelerate future automation.
- Performance Monitoring & ROI
- Define and track adoption and ROI metrics (time saved, error rates, automation reliability, business impact).
- Set up performance dashboards and feedback loops to continuously improve workflows.
- Governance & Guidelines
- Develop and communicate AI usage guidelines and guardrails, working closely with Legal, Compliance, and Security teams.
- Establish clear policies around human‑in‑the‑loop requirements and responsible AI use.
- Adoption & Training
- Lead AI enablement initiatives: training sessions, workshops, and “AI champion” communities.
- Create internal content (guides, tutorials, showcases) to scale AI fluency across Moss.
- Act as an internal evangelist for AI, ensuring adoption is broad and sustainable.
About You
- 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. You don’t need to be a software engineer, but you can build working automations.
- 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.
Skills and Attributes
- Adaptive Innovator: You experiment boldly with AI and automation, always seeking smarter, faster ways of working. You balance creativity with pragmatism — testing, learning, and refining solutions that drive measurable business value.
- Systems Thinker: You see connections across teams, tools, and processes. You design workflows that scale by understanding both technical systems and human dynamics, ensuring automation fits seamlessly into how people work.
- Trusted Partner: You collaborate with diverse stakeholders — from engineers to finance leaders — to identify needs and co‑create solutions. You build credibility through empathy, clarity, and an ability to translate complex concepts into actionable outcomes.
- Data‑Driven Optimizer: You measure what matters and use insights to continuously improve. You track adoption, performance, and ROI, turning data into decisions that sharpen workflows and strengthen business impact.
- Change Champion: You lead with curiosity and conviction, fostering confidence and excitement about AI across the company. You empower others through training and clear guidelines, ensuring AI adoption is responsible, inclusive, and lasting.
About Moss
Moss is a SaaS scale‑up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe. Our ambition is bold: to power every SMB’s spend across Europe – fully digital, AI‑driven, and seamlessly integrated for complete control. To date, over 5,000 businesses in Germany, Netherlands and the UK use Moss’ leading spend management product, with modules such as corporate cards, accounts payables, employee cash reimbursements and procurement. Moss has raised a total of €180 million in funding and is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A‑Star.
Benefits
- Top‑of‑market compensation package, including equity.
- Our vibrant offices are at the heart of our culture, where in‑person time fuels collaboration and connection over weekly breakfasts and Friday demos.
- Additional benefits include: 20 days “work from abroad”, 600 EUR/GBP Learning & Development Budget, and other local benefits.
By applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Policy.
#J-18808-Ljbffr
AI Automation Manager employer: Moss
Contact Detail:
Moss Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Automation Manager
✨Tip Number 1
Network like a pro! Reach out to current employees at Moss on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by understanding Moss’s culture and values. Dive into their recent projects and think about how your skills in AI and automation can contribute. Show them you’re not just a fit for the role, but for the team!
✨Tip Number 3
Practice your storytelling! Be ready to share specific examples of how you've driven change or implemented automation in past roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to follow up after your interview! A simple thank-you email reiterating your excitement about the role can leave a lasting impression. Plus, it shows you’re genuinely interested in joining the Moss team!
We think you need these skills to ace AI Automation Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Automation Manager role. Highlight your experience with automation tools and how you've driven business impact in previous roles. We want to see how you can bring your unique skills to Moss!
Showcase Your Technical Skills: Since this role involves working with low-code/no-code tools, don’t shy away from mentioning any relevant technical skills or projects. Share examples of how you've used these tools to create effective workflows. We love seeing hands-on experience!
Demonstrate Your Collaborative Spirit: This position is all about partnering with different teams, so highlight your experience in stakeholder management. Share stories that show how you've successfully collaborated with diverse groups to achieve common goals. We value teamwork at Moss!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Moss
✨Know Your AI Tools
Familiarise yourself with the specific AI orchestration platforms mentioned in the job description, like n8n. Be ready to discuss how you've used similar tools in the past and how you can leverage them to drive automation at Moss.
✨Showcase Your Collaboration Skills
Prepare examples of how you've successfully partnered with different teams in previous roles. Highlight your ability to communicate complex technical concepts to non-technical stakeholders, as this will be crucial for the role.
✨Demonstrate Data-Driven Decision Making
Be ready to discuss how you've tracked performance metrics and ROI in your past projects. Bring examples of how you've used data to optimise workflows and drive business impact, as this aligns perfectly with what Moss is looking for.
✨Emphasise Your Change Management Experience
Talk about your experience in leading training sessions or workshops to promote new tools or processes. Show that you can foster excitement and confidence around AI adoption, which is key to being a Change Champion at Moss.