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- Tasks: Support teams in using AI tools to enhance their daily work and improve workflows.
- Company: Join Pod, a leading EV charging provider shaping a sustainable future.
- Benefits: Flexible working, wellbeing platform access, discounted energy tariffs, and 25 days holiday.
- Other info: Dynamic role with opportunities for personal growth and learning.
- Why this job: Be at the forefront of AI innovation and make a real impact on the business.
- Qualifications: Curiosity about AI, strong communication skills, and a hands-on approach.
The predicted salary is between 40000 - 50000 £ per year.
We’re Pod – one of the UK’s leading EV charging providers, trusted by over 250,000 customers and powering more than 5 million miles every single day. Behind the numbers is a team of passionate people working together to shape a smarter, more sustainable future.
We started off in 2009 as Pod Point, helping people make the switch to electric as EVs began to hit the road. Today, we’re leading the way into a smarter energy future. Now part of the EDF Family, a global leader in low-carbon energy, we’re giving people and communities the power to move confidently through electrification. We’re proud to be the trusted charging partner for leading automotive brands, home builders, and retailers. Pod is the next evolution of Pod Point, focused on powering not just homes and vehicles, but local communities and social progress.
Join the EVolution. The AI Operations Analyst sits at the heart of how Pod is changing the way we work with AI. We are solving real problems and building tools that make a difference to teams and customers. The AI Operations Analyst will work closely with the Enterprise Tech Team to turn ideas into practical tools, help colleagues feel confident using AI, and build solutions that did not exist yesterday.
Responsibilities- Enable teams to use AI day to day – You will support teams across Pod to understand and make better use of AI tools in their everyday work, improving speed, quality, and confidence.
- Configure and improve AI workflows – You will help configure, connect, and continuously improve AI-powered tools and workflows using platforms like Claude and HubSpot, plus whatever comes next. This includes testing, iterating, documenting, and making sure solutions are practical for real users.
- Turn stakeholder briefs into working solutions – You will take briefs from stakeholders, sometimes independently and sometimes alongside your manager, then translate them into clear problem statements and practical outputs, such as workflows, playbooks, prompts, automations, or lightweight prototypes.
- Track and communicate AI impact – You will contribute to Pod’s AI Working Group by helping track adoption and outcomes, capturing what is working, surfacing blockers, and communicating the value AI is delivering across the business.
- Stay current and bring in relevant ideas – You will keep a finger on the pulse of AI developments, filter hype from what is useful, and bring forward tools, patterns, and ideas that can improve how Pod operates.
- Upskill colleagues at all levels – You will support upskilling through one-to-ones, drop-ins, and training sessions, helping colleagues build practical capability and good judgement when using AI.
- Curiosity and a practical approach to AI – You are genuinely interested in how AI can be applied in real work, and you enjoy experimenting to find what actually helps.
- Technical literacy and a hands-on mindset – You do not need to be a developer, but you are comfortable learning how tools work, troubleshooting, and getting stuck in to make things happen.
- Strong stakeholder and meeting skills – You can listen well, ask the right questions, and translate a fuzzy problem into something clear, actionable, and useful.
- Comfort with ambiguity and change – You are energised by a shifting landscape, you can prioritise sensibly, and you adapt your approach as the role evolves.
- Self-starter energy – You take ownership, you try to find answers independently, and you ask for help when it will move things forward faster.
- Clear communication – You can explain what you are doing and why, in plain English, tailored to different audiences. You write clearly and you communicate progress reliably.
- Access for you and up to 5 family/friends to the UnMind wellbeing platform
- Podpoint Charger
- Discounted energy tariff
- Flexible hybrid working model
- Work abroad for up to 20 days per year
- Family & friend discount scheme
- 25 days holiday (plus bank holidays)
AI Operations Analyst in London employer: Pod
Contact Detail:
Pod Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Operations Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current Pod employees on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or examples of how you've used AI in real-world scenarios. This will help you stand out and demonstrate your practical approach to the role.
✨Tip Number 3
Be ready for the interview! Research Pod’s projects and think about how you can contribute. Bring ideas to the table and show your enthusiasm for shaping a smarter energy future.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Pod team.
We think you need these skills to ace AI Operations Analyst in London
Some tips for your application 🫡
Show Your Passion for AI: Let us see your genuine interest in AI! In your application, share examples of how you've used AI tools or your thoughts on their impact. This will help us understand your curiosity and practical approach.
Tailor Your Application: Make sure to customise your application to fit the role of AI Operations Analyst. Highlight relevant experiences and skills that align with our job description, especially around stakeholder management and technical literacy.
Be Clear and Concise: When writing your application, keep it straightforward. Use plain English to explain your experiences and how they relate to the role. We appreciate clear communication, so make sure your points are easy to follow!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive 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 Pod
✨Know Your AI Tools
Familiarise yourself with the AI tools mentioned in the job description, like Claude and HubSpot. Be ready to discuss how you've used similar tools in the past or how you would approach learning new ones.
✨Show Your Curiosity
Demonstrate your genuine interest in AI by sharing examples of how you've applied it in real-world scenarios. Talk about any experiments you've conducted or insights you've gained that could be relevant to Pod's mission.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. During the interview, focus on clear communication, especially when discussing how you would translate stakeholder briefs into actionable solutions.
✨Embrace Change
Be prepared to discuss how you handle ambiguity and adapt to change. Share specific examples of times when you've successfully navigated shifting priorities or tackled unclear problems, showcasing your self-starter energy.