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Magentic

Deployment Strategist

Posted 9 Days Ago
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Hybrid
London, Greater London, England, GBR
Senior level
Hybrid
London, Greater London, England, GBR
Senior level
Own end-to-end AI deployments for enterprise customers, from initial scoping through live rollout. Manage senior stakeholder relationships, lead governance, identify additional customer value, and develop repeatable deployment best practices. Translate customer evidence into product and engineering roadmap input while tracking commercial outcomes. The role requires strong delivery or product experience, complex project management, commercial judgment, clear communication, and comfort operating in an ambiguous early-stage environment.
The summary above was generated by AI
The Role

Procurement and supply chain is a $3 trillion market still running on outdated systems and manual processes. Magentic is changing that.

We’re building a new generation of agentic AI that works inside the world’s largest and most complex organisations, backed by Sequoia and built by a team from OpenAI, Meta, Revolut, NASA and McKinsey. We’re early, moving fast and already solving real problems for global enterprises.

As a Deployment Strategist, you’ll be at the heart of making that happen. You’ll take what we build and turn it into real-world impact for our customers, owning engagements from initial scoping through to live deployment.

You’ll sit at the intersection of product, commercial and customer, figuring out what needs to be built, how we make it work and how we deliver meaningful outcomes. You won’t just be deploying Magentic, you’ll help shape how we work with customers as we scale.

What You’ll Do

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.

You Might Be a Great Fit if You
  • 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

Bonus Points

  • Have experience deploying AI, automation, or data products inside large organisations

  • Are familiar with procurement, supply chain, or finance functions in enterprise settings

Compensation and Benefits

At Magentic, we recognise and reward the talent that drives our success. We offer:

  • Competitive Equity: play a real part in Magentic’s upside

  • A salary of £100-110k

  • Enhanced parental leave

  • 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown

  • In-office lunches provided

  • Salary sacrifice pension and nursery schemes

  • Hybrid London HQ (4 days per week onsite, with flex if you have appointments etc)

  • Annual team retreat—a fully-funded off-site to recharge, bond, and build

Our Interview Process

We can move quickly through these stages, so let us know if you have any timelines we need to meet.

  1. 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.

  2. Skills interview (45 mins): in this step, we'll ask you to prepare a presentation and take Q&A.

  3. 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.

Equal Opportunities and Accommodations Statement

At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers.

 

Magentic is committed to creating a truly inclusive team and we’re proud to be an equal-opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly encourage applications from all backgrounds and cultures to apply.

 

We recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone.

 

Everyone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible.

 

Responsible AI Statement
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.

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