At a Glance
- Tasks: Identify inefficiencies and implement AI-driven solutions to enhance operations.
- Company: High-growth SaaS business focused on data-driven efficiency.
- Benefits: Flexible remote work, competitive pay, and a chance to shape AI integration.
- Other info: Opportunity for significant career growth in a fast-paced environment.
- Why this job: Be at the forefront of AI innovation in a dynamic, impactful role.
- Qualifications: Experience in AI workflow automation and strong API integration skills.
The predicted salary is between 60000 - 80000 £ per year.
My client is a high-growth, product-led SaaS business operating at scale across the UK, supporting high-volume, business-critical workflows. The business is investing in becoming more data-driven and operationally efficient, with AI as a key lever for improving productivity, reducing cost, and enhancing customer experience. This is a fixed-term project role focused on embedding AI into core operations.
I am looking for a commercially minded AI Operations consultant to identify inefficiencies, design and implement AI-driven solutions, and embed AI as a core operational capability. You will work cross-functionally across Customer Operations, Marketing, Training, Finance and Strategy to automate workflows, reduce manual overhead, improve reporting, increase support efficiency, and leverage internal data platforms to drive intelligent automation, with a focus on delivering measurable improvements in cost, efficiency, and operational performance.
Core Responsibilities- Define and execute an AI operations roadmap, prioritising initiatives based on ROI and business impact
- Identify inefficiencies and design AI-driven workflow automation across core systems (e.g. CRM workflows, support ticket triage, reporting automation)
- Build and deploy automation pipelines using tools such as Zapier/Make, LLM APIs, and API/webhook integrations
- Leverage internal data platforms to create event-driven workflows, predictive insights, and AI-enabled reporting
- Establish governance frameworks, ensure GDPR compliance, and develop internal AI playbooks
- Drive adoption and training across teams to embed AI into day-to-day operations
- Proven experience delivering AI-driven workflow automation in a SaaS or product-led environment
- Strong experience across core SaaS operational systems, ideally covering CRM, support, billing and product analytics (Salesforce, Zendesk, Zuora, Pendo)
- Strong API integration capability and experience with automation tooling
- Proficiency in Python and SQL
- Experience working with LLM APIs and prompt engineering
- Additional exposure to data platforms such as Databricks or ThoughtSpot
- Understanding of RAG pipelines and vector databases (Hands-on experience across several of the above systems is beneficial)
Operating in a SaaS environment with a strong understanding of core metrics (MRR, churn, retention). Demonstrated ability to deliver measurable ROI from automation initiatives, combined with strong cross-functional stakeholder management. This is an opportunity to shape how AI is embedded into a scaled SaaS platform — not as experimentation, but as core operational infrastructure.
AI Ops Engineer employer: Xcede Recruitment Solutions
Join a dynamic and innovative SaaS company that prioritises employee growth and fosters a collaborative work culture. With flexible remote working options, you will have the opportunity to make a significant impact by embedding AI into core operations while enjoying a supportive environment that encourages professional development and creativity. This role not only offers competitive compensation but also the chance to be at the forefront of transforming business-critical workflows in a high-growth setting.
Contact Details:
Xcede Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Ops Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your AI-driven projects. This is your chance to demonstrate your expertise in automation and workflow efficiency.
✨Tip Number 3
Prepare for interviews by brushing up on common AI Ops scenarios. Think about how you would tackle inefficiencies and implement solutions. Be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent that can help us embed AI into our operations. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Ops Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Ops Engineer role. Highlight your experience with AI-driven workflow automation and any relevant SaaS tools you've used. We want to see how your skills align with our needs!
Showcase Your Achievements:When detailing your past experiences, focus on measurable outcomes. Did you improve efficiency or reduce costs in a previous role? Use numbers and specific examples to demonstrate your impact. This will help us see the value you can bring!
Be Clear and Concise:Keep your application straightforward and to the point. Avoid jargon unless it's relevant to the role. We appreciate clarity, so make it easy for us to understand your qualifications and how they fit with our mission.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Xcede Recruitment Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI-driven workflow automation. Be ready to discuss specific tools like Zapier or Make, and how you've used them in past projects. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified inefficiencies in previous roles and implemented AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your impact.
✨Understand the Business Metrics
Familiarise yourself with key SaaS metrics like MRR, churn, and retention. Be ready to discuss how your work can drive measurable improvements in these areas. This will demonstrate your commercial mindset and understanding of the business landscape.
✨Cross-Functional Collaboration
Since the role involves working across various teams, think of examples where you've successfully collaborated with different departments. Highlight your communication skills and how you’ve driven adoption of new processes or technologies in a team setting.
