Deployment Consultant

OJ Digital; Greater London; On-site; GBP 65,000 - 100,000; Full time

Job summary

OJ Digital is seeking a Deployment Consultant in London to own non-engineering aspects of enterprise AI deployments, guiding customers from pilot to rollout. You will translate complex business requirements into clear product needs and partner with founders and engineers to ensure deployments deliver tangible commercial value.

You will manage senior stakeholders, build demos with modern AI tools, and help develop scalable processes as the company grows, with no remote work and daily presence at

Qualifications

• 2–6 years of experience in deployment/implementation, strategy consulting or investment banking
• Strong academic background from a leading university
• Excellent analytical and structured problem-solving skills
• Ability to represent the product with major enterprise customers
• Experience deploying software into large enterprise customers is valuable

Responsibilities

• Own enterprise pilots from initial deployment through to rollout
• Manage senior stakeholders and day-to-day customer communication
• Translate complex business workflows into clear product requirements
• Collaborate with engineering to ensure successful deployments
• Drive pilots towards wider adoption and commercial expansion
• Build demos and prototypes using modern AI tools
• Bring structure to complex, ambiguous customer problems
• Help develop processes and playbooks as the company scales

Skills

Deployment / Implementation

Strategy consulting

Enterprise customer handling

Education

Leading university degree

Tools

Claude

Cursor

Job description

An exceptionally well-funded, early-stage AI company is looking for a Deployment Consultant to help deliver its technology into some of the world's largest enterprises.

The company is building cutting-edge AI technology for a huge, complex and highly regulated global industry. Already working with major enterprise customers, demand is growing quickly and the business is now expanding its deployment capability.

This is an opportunity to join extremely early, work directly with the founders and have significant influence over how the company works with its customers as it scales.

The Role

You’ll own the non-engineering side of complex enterprise AI deployments, taking customers from initial pilot through to successful rollout and expansion.

Working closely with founders and engineers, you’ll understand complex customer workflows, translate business requirements into clear product needs and ensure deployments deliver genuine commercial value.

• Own enterprise pilots from initial deployment through to rollout
• Manage senior stakeholders and day-to-day customer communication
• Understand complex business workflows and translate them into clear product requirements
• Work closely with engineering to ensure successful deployments
• Drive pilots towards wider adoption and commercial expansion
• Build demos and prototypes using modern AI tools
• Bring structure to complex, ambiguous customer problems
• Help develop the processes and playbooks used as the company scales

What We’re Looking For

You’ll ideally have 2–6 years' experience from one of the following backgrounds:

• Deployment / Implementation at a high-growth technology startup
• Top-tier strategy consulting
• Investment banking at a leading global or elite boutique bank

You’ll also need:

• A strong academic background from a leading university
• Exceptional analytical and structured problem-solving skills
• The confidence and EQ to represent the product with major enterprise customers
• Strong hands-on use of modern AI tools such as Claude or Cursor
• The ability to thrive in a highly ambitious, fast-moving and ambiguous startup environment
• Experience implementing or deploying software into large enterprise customers is particularly valuable.
• Direct exposure to the founding team
• Significant ownership and responsibility from day one
• Opportunity to join a highly ambitious AI company at an extremely early stage

This is not a remote or hybrid role. The team works together from its London office 5 days per week, typically around 9am–9pm, with regular travel to customer sites across the UK.