At a Glance
- Tasks: Lead technical rollouts of AI solutions in retail, ensuring seamless integration and operational success.
- Company: Dynamic AI scale-up transforming retail technology with innovative on-device solutions.
- Benefits: Competitive salary, equity options, hybrid work, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to influence product evolution and drive strategic outcomes.
- Why this job: Make a real impact in retail tech while leading cutting-edge AI deployments.
- Qualifications: 8+ years in Technical Account Management with hands-on retail tech experience.
The predicted salary is between 64000 - 96000 € per year.
Overview
Lead Technical Account Manager – AI / Retail Startup
London (Hybrid) | Up to £80k + 10% OTE + Equity | Full-time
We’re partnered with a DeepTech AI scale-up that’s transforming how retail technology operates, no cloud required. Their patented, on-device AI platform is live in 400+ stores across 12 countries, powering real-time product recognition and loss prevention for some of the world’s largest retailers.
The Opportunity
They’re hiring a Lead Technical Account Manager to own the technical rollout and success of enterprise retail clients, ensuring their AI platform is deployed seamlessly into on-premise store infrastructure across global retail networks.
This is a strategic, customer-facing delivery role that blends technical depth with operational leadership. You’ll guide post-POC rollouts, shape integration plans, manage live deployments, and lead a growing TAM function — all while feeding insights back into the product roadmap.
This role is ideal for someone with a strong track record in delivering on-prem tech solutions into complex retail environments, from PoS systems and store networks to edge devices and AI pipelines.
What You’ll Do
- Lead technical rollout and post-POC expansion into enterprise retail environments — across multiple regions and thousands of edge devices.
- Act as the primary technical interface for strategic retail customers, guiding deployment, integration, and operational success.
- Create and scale playbooks for deployment, monitoring, retraining, and performance optimisation.
- Collaborate with Product and ML teams to turn field data (e.g. lighting conditions, SKU-level precision) into product improvements.
- Drive measurable outcomes — improved shrink rates, higher accuracy, and clear ROI — backed by data and strong reporting.
About You
Must-have experience:
- 8+ years in Technical Account Management, Solutions Delivery, or Customer Engineering roles.
- Hands-on experience delivering on-premise technology into retail environments — including PoS systems, self-checkouts, store networks, or CCTV.
- Comfortable working with edge computing or AI/ML platforms, ideally including:
- ML/edge pipelines — training, validation, orchestration.
- APIs, SDKs, or cloud-to-edge integrations.
- A proven ability to manage both the technical detail and strategic relationship with enterprise clients.
Bonus if you have
- Experience with computer vision, IoT, or loss prevention systems.
- Led or scaled Technical AM or field engineering teams.
- Worked closely with hardware vendors in retail or similar sectors.
Why This Role?
This is a rare chance to lead technical delivery at the intersection of AI, retail, and edge computing, in a company already live in hundreds of stores and scaling fast.
- Real ownership: Shape deployments, lead a team, and drive product evolution from the field.
- Strategic impact: Work with some of the world’s biggest retailers, directly influencing store-level performance and AI outcomes.
- Collaborative environment: Work cross-functionally with Product, ML, Ops, and Hardware teams.
- Equity & Growth: Be part of a high-impact scale-up with meaningful equity upside.
Interested?
If you’ve led technical deployments of AI, edge, or enterprise systems into retail environments, and thrive at the intersection of strategy, operations, and tech, this could be your next big step.
Lead Technical Account Manager - AI / Retail Startup in City of London employer: Energy Jobline ZR
Join a pioneering DeepTech AI scale-up in London, where you'll play a crucial role in transforming retail technology with cutting-edge on-device AI solutions. Enjoy a collaborative work culture that fosters innovation and strategic impact, while benefiting from competitive compensation, equity opportunities, and a clear path for professional growth in a rapidly expanding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Technical Account Manager - AI / Retail Startup in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with on-premise tech solutions. Share specific examples of how you've successfully managed deployments in retail environments.
✨Tip Number 3
Prepare for those interviews! Research the company and their AI platform thoroughly. Be ready to discuss how you can drive measurable outcomes and improve performance for their retail clients. Tailor your answers to show you understand their needs.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Don’t miss out!
We think you need these skills to ace Lead Technical Account Manager - AI / Retail Startup in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Technical Account Manager. Highlight your experience with on-premise tech solutions and any relevant AI or retail projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI in retail and how your background makes you the perfect fit for this role. Be sure to mention specific achievements that demonstrate your technical and strategic prowess.
Showcase Your Technical Skills:In your application, don’t shy away from detailing your hands-on experience with edge computing, APIs, and ML pipelines. We’re looking for someone who can manage both the technical details and client relationships, so make sure we see that in your application!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of AI and edge computing. Brush up on your knowledge of PoS systems, store networks, and how they integrate with AI platforms. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Prepare Real-World Examples
Think of specific instances where you've successfully managed technical rollouts or solved complex problems in retail environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your experience effectively.
✨Understand the Company’s Product
Familiarise yourself with the company’s patented AI platform and its applications in retail. Knowing how it works and its benefits will allow you to engage in meaningful conversations during the interview and show your genuine interest in their mission.
✨Showcase Your Collaborative Spirit
This role involves working closely with various teams like Product and ML. Be ready to discuss how you’ve collaborated in the past, especially in cross-functional settings. Highlighting your teamwork skills will be crucial in demonstrating that you can thrive in their collaborative environment.
