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About the Role
Own deployments end to end. Lead the engagement from kickoff through to a live, adopted automation. Set the plan, align stakeholders across operations, IT and the executive team, and hold everyone including the customer accountable to it.
- Discover how the work is really done. Work alongside customer teams to understand the process as it exists rather than as it is documented: the volumes, the exceptions, the judgement calls, the decisions nobody wrote down. Turn that into a clear, agreed scope our engineers can build against and our customers recognise as their own. We're looking for people who are able to document the SOP, not only run the workshop.
- Advise on what to automate and what to leave. Not every part of a process should be automated on day one. You make the trade-offs explicit, sequence what lands first, and make sure the customer understands what they're getting.
- Deliver alongside engineering. Our Implementation Engineers own the technical design and build. You own the agreed customer outcome, scope and requirements, and you're close enough to the product to challenge a design, discuss access and integrations, and understand what's feasible.
- Define success and drive the decision. Agree what good looks like and how it will be measured, capture the customer's baseline before we build, and lead the conversation that turns a pilot into a production service.
- Make the next deployment faster. Turn what you learn into playbooks, patterns and product requirements. You're often the earliest signal on what our product needs to do next.
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About You
- 5+ years in management, technology or transformation consulting, implementation or professional services, including time at AI Deployment Lead, Engagement Manager, Project Leader or equivalent level where you owned a programme end to end. We're looking for people who have run the engagement, not only staffed it.
- Experience working inside complex operations and turning them into structure that technical teams can act on. Comfortable with processes that are messy, undocumented and internally contested.
- Comfortable managing several deployments at once, with competing priorities and multiple stakeholder groups.
- Technically fluent. You don't need to code, but you need to hold your own with engineers on integrations, access, data and feasibility.
- Strong stakeholder presence. Comfortable with an operations team on Monday and an executive steering group on Tuesday, and able to build credibility quickly.
- Comfortable handling objections and navigating organisational resistance. Automation changes how people work, and not everyone in the room wants it to succeed.
- Highly analytical, ruthlessly organised and detail-oriented.
- Highly autonomous and entrepreneurial, and comfortable in an environment where the playbook is still being written.
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Nice to Have
- Big Four or MBB consulting background.
- Experience implementing SaaS or AI products.
- Intelligent automation or RPA delivery experience.
- Experience working with customers in insurance, healthcare or another regulated operational environment.
- Prior experience at a startup or high-growth company where you built process from scratch.
If you like being the person who walks into a complicated operation, works out what's really going on, and gets something live that changes how a team works, we'd like to hear from you.
Benefits
- Competitive salary and equity package.
- Lots of autonomy and opportunities for growth.
- Flexible hours and location, with a monthly coworking budget or WeWork membership.
- Occupational pension.
- Generous paid parental leave.
- Generous paid sick leave.
- Annual budget for your professional development and growth.
- Annual budget for your individual health and wellness.
- Quarterly team offsites to London and other exciting destinations in Europe.
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Skills
AI deployment
Stakeholder management
Process automation
Transformation consulting
Project leadership
SOP documentation
Technical feasibility
Requirement gathering
Change management
Analytical skills
Strategic planning
Cross-functional collaboration
Operations management
SaaS implementation
Intelligent automation
Location