Lead Technical Account Manager - AI / RetailTech Startup in London

Energy Jobline ZR; City Of London; Hybrid; GBP 72,000 - 85,000; Full time

Job summary

A scaling deep-tech company in London is seeking a Lead Technical Account Manager to oversee technical success and performance insights for enterprise retailers. The ideal candidate will have 8–12 years of relevant experience in Technical Account Management and a strong understanding of AI technology, ensuring seamless deployment and optimization of AI-driven systems across global retail clients.

Qualifications

• 8–12 years in Technical Account Management, Customer Engineering, or Solution Delivery for AI, IoT, or enterprise SaaS platforms.
• Strong understanding of edge AI, ML pipelines, or computer vision systems.
• Experience with monitoring frameworks and analyzing technical performance data.
• Proven track record in building relationships with enterprise clients.
• Hands-on familiarity with Python, SQL, or similar tools is a plus.

Responsibilities

• Own end-to-end technical relationships with major enterprise retailers.
• Act as the post-install lead, analyzing on-device performance.
• Use data analytics to uncover performance insights, trends, and ROI metrics.
• Partner with Engineering, Product, and Solutions teams for enhancements.
• Build playbooks and scalable processes for deployment.

Skills

Technical Account Management

Customer Engineering

Solution Delivery

edge AI

ML pipelines

Python

SQL

monitoring frameworks

communication skills

Tools

Grafana

Datadog

Job description

Lead Technical Account Manager – AI / RetailTech Startup

London (Hybrid) | Up to £85k + 10% OTE + Equity | Full-time

Are you passionate about helping enterprise customers get real business value from cutting‑edge AI technology?

This is your chance to take ownership of technical success, performance insight, and post‑install excellence for large‑scale, global retail deployments.

You’ll lead the charge in ensuring AI‑driven systems run seamlessly, driving measurable impact, operational reliability, and continuous improvement across thousands of devices.

The Role

As Technical Account Manager Lead, you’ll sit at the intersection of customer success, analytics, and engineering, ensuring every client deployment performs at its best.

You’ll act as the technical bridge between customers, product, and ML engineering, leading post‑install optimisation, investigating data‑driven performance issues, and scaling best practices across a growing customer base.

You’ll also manage 1 x Technical Account Manager, shaping how enterprise customers experience technical partnership in a fast‑growing AI business.

What You’ll Be Doing

• Own end-to-end technical relationships with major enterprise retailers across multiple regions.
• Act as the post‑install lead, analysing on‑device performance, troubleshooting AI model behaviour, and driving continuous improvement.
• Use data analytics and real‑time dashboards to uncover performance insights, trends, and ROI metrics, advising the business on any feature edits that would reduce drop‑offs etc.
• Partner cross‑functionally with Engineering, Product, and Solutions teams to prioritise enhancements and retraining.
• Build playbooks and scalable processes for deployment, monitoring, and optimisation.
• Foster a data‑driven, customer‑first culture across the technical account management function.

What Success Looks Like

• High customer retention and expansion across global accounts.
• Edge AI systems running at peak accuracy and reliability.
• Measurable ROI improvement for customers post‑deployment.
• A proactive, insights‑led TAM team consistently delivering excellence.

Your Background

• 8–12 years in Technical Account Management, Customer Engineering, or Solution Delivery for AI, IoT, or enterprise SaaS platforms.
• Strong understanding of edge AI, ML pipelines, or computer vision systems (e.g., PoS, SCOs, IoT).
• Experience working with monitoring frameworks (Grafana, Datadog) and analysing technical performance data.
• Proven track record in building relationships with enterprise clients and turning insights into results.
• Confident communicator, equally comfortable engaging engineers and executive sponsors.
• Hands‑on familiarity with Python, SQL, or similar tools a plus.
• RetailTech background is hugely advantageous.

Why Apply!

You’ll be joining a scaling deep‑tech company that’s redefining how AI operates within the retail landscape, with live deployments across major global retailers and partnerships with world‑leading hardware providers.

It’s a chance to take ownership, make a visible impact, and shape how enterprise customers experience technical excellence in a frontier AI domain.