At a Glance
- Tasks: Lead AI automation projects to optimise business operations and enhance team efficiency.
- Company: Join a dynamic tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by driving AI solutions across various teams.
- Qualifications: 5+ years in operations with hands-on experience in AI tools and automation.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an AI Operations Manager to join our growing Business Operations team in London. Reporting directly to the VP, Business Operations, this person will own the automation and optimisation roadmap across Blis – partnering with teams from Sales and Client Services through to Finance, Marketing and Ad‑Operations to make the business run measurably better. AI and automation are central to how we do that. This is a hands‑on, cross‑functional role for a problem solver. You’ll sit with teams across Blis, map how the work actually gets done, identify the highest‑leverage opportunities, and ship solutions – sometimes by building yourself with modern AI tooling, sometimes by partnering with Product & Engineering. You’ll have a clear mandate to drive change across the company.
Key Responsibilities
- Own the automation and optimisation roadmap across Blis end‑to‑end: discovery, prioritisation, and delivery.
- In partnership with the wider Business Operations team; map workflows across all operational teams, identify bottlenecks, and co‑design solutions that teams actually adopt.
- Prototype and ship internal tools, scripts and automations using modern AI tooling (Claude, Cursor, n8n, Zapier, Make, Retool and similar) – biased to shipping useful work in weeks, not quarters.
- Partner with Product & Engineering: know when to build it yourself and when to hand off, and bring rigorous specs (problem, users, requirements, success criteria) when handing over.
- Run a lightweight intake and prioritisation process for inbound AI and automation requests; maintain a transparent, well‑sized backlog.
- Define and track outcome metrics for every initiative – hours saved, errors avoided, throughput, revenue or margin impact.
- Drive AI enablement across Blis through practical playbooks, office hours and an internal champions network, lifting the floor on day‑to‑day AI usage.
- Set sensible guardrails with Legal, Security and IT around data handling, tool selection and responsible‑use standards so we move quickly without creating risk.
- Publish and maintain a rolling six‑month roadmap with named owners, target outcomes and engineering dependencies, reviewed with the VP, Business Operations.
- Work with the VP, Business Operations to define the governing best practice to be employed across all AI development.
- Act as a go‑to internal expert on AI and automation tooling – evaluating new platforms, vendor demos and emerging capabilities relevant to Blis.
- Champion the voice of internal users, identifying friction points across day‑to‑day work and translating them into prioritised builds.
Skills and Requirements
- 5+ years in Business Operations, Strategy & Operations, RevOps, Internal Tools, or a similar cross‑functional role – with a clear track record of shipping solutions, not just diagnosing.
- Comfortable building real things with modern AI tooling – Claude, Cursor, Zapier, n8n, Make, Retool, light scripting.
- You don’t need to be a software engineer, but you do need to drive towards shipping solutions.
- Strong process thinking. You can sit with a team, draw the workflow on a whiteboard, and find the bottleneck quickly.
- Strong commercial instincts. You prioritise by impact and effort, not by what is interesting to build.
- Cross‑functional credibility – equally comfortable with a finance lead, a sales director, a client services manager and an engineer.
- Highly analytical with the ability to define success metrics, interpret performance data and make pragmatic trade‑offs.
- Excellent written communicator. Your briefs, specs and updates are clear and concise.
- Comfortable with ambiguity and self‑directed. You can take a fuzzy problem, scope it, and run.
Preferred
- Background as a software engineer who has moved into operations, product or strategy.
- Experience in adtech, programmatic, martech or another data‑heavy platform business.
- Hands‑on experience with workflow automation platforms such as n8n, Zapier, Make or Workato.
- Familiarity with Salesforce, HubSpot, NetSuite or similar core systems of record.
- Experience setting up internal AI governance or responsible‑use guardrails, or having shipped LLM‑powered tools or agents in a real business context.
AI Operations Manager - Business Operations (UK) employer: Blis
Blis is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. As an AI Operations Manager, you will have the opportunity to drive meaningful change through automation and optimisation, collaborating with diverse teams across the organisation. With a strong emphasis on employee growth, hands-on experience with cutting-edge AI tools, and a commitment to transparency and collaboration, Blis offers a rewarding environment for those looking to make a significant impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Operations Manager - Business Operations (UK)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with AI tooling and automation. This will not only demonstrate your capabilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company, understand their operations, and think about how you can contribute to their automation roadmap. Be ready to share specific examples of how you've solved problems in the past.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your cross-functional experience and problem-solving skills, and let’s get the conversation started!
We think you need these skills to ace AI Operations Manager - Business Operations (UK)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Operations Manager role. Highlight your experience with automation and optimisation, and show us how you've shipped solutions in the past. We want to see how you can make our business run measurably better!
Showcase Your Problem-Solving Skills:In your application, give us examples of how you've tackled complex problems in cross-functional settings. We love a good story about identifying bottlenecks and implementing effective solutions, so don’t hold back!
Be Clear and Concise:Your written communication should reflect the clarity we value at StudySmarter. Keep your application straightforward and to the point, making it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Blis
✨Know Your AI Tools
Familiarise yourself with the modern AI tooling mentioned in the job description, like Claude, Zapier, and n8n. Be ready to discuss how you've used these tools in past roles or how you would approach using them to solve specific problems.
✨Map Out Your Process Thinking
Prepare to demonstrate your process thinking skills. Bring examples of how you've identified bottlenecks in workflows and the solutions you implemented. Practising drawing out workflows on a whiteboard can help you articulate your thought process clearly.
✨Showcase Cross-Functional Collaboration
Think of instances where you've worked with diverse teams, from finance to engineering. Be ready to share how you built credibility across functions and how you prioritised projects based on impact and effort.
✨Define Success Metrics
Be prepared to discuss how you define and track success metrics for initiatives. Think about specific examples where you measured outcomes like hours saved or revenue impact, and be ready to explain your analytical approach.
