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You’ll have a huge impact on both Magentic’s commercial success and our product direction. This is a rare opportunity to help build a rocket ship. As we grow, you could develop into product management or engineering, into a leader in our customer engineering space, even into sales, as you discover your strengths and interests.
Own deployments end-to-end —design the rollout strategy at household-name enterprises, run the programme, and change course decisively when the approach isn't landing.
Hold the senior relationships —be the Director and VP sponsor's first call, run steering governance, and take on the difficult conversations.
Find the value nobody has scoped —go looking beyond the signed scope, prove new use cases with the customer, and build the case for what we sell them next.
Define best practice for AI deployment —set the bar on your deployments, and turn this into processes that the rest of the org can use to scale.
Shape our roadmap —bring product and engineering the problem, the customer evidence, and a view on what we should build.
Have 5+ years of experience in a customer-facing delivery or product role
Have managed complex, multi-stakeholder projects at senior levels and kept them moving when priorities shifted
Think commercially: you track outcomes, not just activities, and you understand how successful deployments translate into revenue
Are energised by early-stage ambiguity — you can create structure where none exists and make decisions with incomplete information
Communicate exceptionally well, both in the room with a VP and in a written handover to a colleague
Have experience deploying AI, automation, or data products inside large organisations
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London, GBR
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Are familiar with procurement, supply chain, or finance functions in enterprise settings
We can move quickly through these stages, so let us know if you have any timelines we need to meet.
Initial call (30 mins) : this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role.
Skills interview (45 mins): in this step, we'll ask you to prepare a presentation and take Q&A.
In-person interview (half-day, paid): for the final step, we invite you to come meet the team in-person. We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, founder interview and a presentation task / discussion with the team.
At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.
Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.
We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs.
Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
Private AI software company helping global manufacturers automate procurement and recover supply-chain savings with digital workers.
Visit company websiteJobs and hiring trendsGBP 100000-110000 yearly / year
Full-time
Senior · 5+ years experience
Hybrid
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