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Lead Technical Account Manager - AI / Retail Startup in London

Energy Jobline ZR

City Of London

Hybrid

GBP 80,000

Full time

Today
Be an early applicant

Job summary

A dynamic technology startup in London is seeking a Lead Technical Account Manager to drive technical success and client engagement in enterprise retail environments. The ideal candidate has a strong background in on-premise tech solutions and AI deployment across retail networks. This full-time position offers a competitive salary of up to £80k plus equity and OTE benefits. The role requires hands-on experience with retail technology systems, collaboration with cross-functional teams, and a strategic approach to customer relations.

Benefits

Equity
Growth opportunities

Qualifications

  • 8+ years in Technical Account Management or related roles.
  • Experience with on-premise technology in retail environments.
  • Proven ability to manage technical details and relationships.

Responsibilities

  • Lead technical rollout and post-POC expansion in retail environments.
  • Act as the primary technical interface for retail customers.
  • Create scalable playbooks for deployment and performance optimization.

Skills

Technical Account Management
Solutions Delivery
Customer Engineering
On-premise technology delivery
AI/ML platforms
CCTV

Tools

PoS systems
Edge computing
APIs
Job description

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Job Description
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 already 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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