Account Executive, Defence
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the commercial lead for major European partners and UK Land programmes, owning relationships end to end and growing live pilots into multi-year programmes. You will coordinate internal teams, open new partner, prime and Land accounts across the UK and Europe, shape technical deals with Solutions Engineers, and work within export-control and data-sovereignty constraints. You will be based in London with regular travel.
Requirements
- Track record of owning customer or partner relationships and driving deals to award in European defence
- Experience managing a strategic partner, prime or OEM relationship, or selling into UK Land programmes
- Consultative solution-selling approach and technical literacy
- Network across UK Land and European defence primes
- Organisational discipline including CRM (Salesforce) hygiene
- Bachelor's degree or equivalent military experience
- Ability to obtain UK Security Clearance (SC)
- Regular travel to Europe and UK customer sites
Responsibilities
- Own relationships with major partners and UK Land customers end to end
- Grow live pilots into multi-year programmes and partnerships
- Coordinate internal teams around active pursuits and keep pipeline and account plans current
- Drive continuity through award and delivery, manage escalations and find renewals
- Open new partner, prime and Land accounts across the UK and Europe
- Shape technical deal scope with Solutions Engineers
- Work within export-control, classification and data-sovereignty constraints
