AI data and systems integrator | London (on-site, 5 days) |
About the company
Our client is a venture-backed AI start-up. It works with mid-market and private equity-backed companies whose data is spread across warehouses, ERPs and CRMs, often after mergers or acquisitions. Its deployed engineers combine and clean that data. The company then puts its own platform on top so AI agents can use the business’s internal data securely and reliably. It began trading this year, is signing contracts with clients and is now growing its go-to-market team.
The role
The Chief of Staff will sit within the founding team and report directly to the CEO. The role has two halves: making new business generation repeatable, and supporting the founder across strategy and operations. It is a commercial generalist role with the scope to grow into a COO-level position.
Growth & go-to-market
- Building and developing relationships across the private equity and mid-market world, including operating partners, portfolio company leaders and value creation teams
- Finding and testing the most effective channels for new business, before investment in marketing
- Leading or supporting client conversations: assessing a prospect’s systems and data, and explaining the right solution clearly
- Representing the company at industry events and conferences and in senior forums
Chief of Staff
- Acting as a strategic partner to the CEO, helping set priorities and taking on work to free up the founder’s time
- Owning and delivering special projects across the business, from scoping through to completion
- Contributing to company strategy, planning and goal-setting, and tracking progress against them
- Supporting fundraising, including investor materials, financial narrative, data room preparation and investor relations
- Putting in place the operating rhythm, processes and reporting a fast-growing business needs
- Preparing board meetings and producing senior communications
Candidate profile
- Experience in strategy consulting (ideally with PE or technology clients), or in a PE operating or value creation team
- Excellent analytical ability and a technical mindset, with a confident grasp of data, systems and architecture (no coding required)
- Outstanding communication skills, including the ability to explain complex technical ideas simply to senior audiences
- A proven record of hands‑on delivery, not just advising
- A strong interest in AI and how it applies in business
- A consistent career history that shows commitment and quick progression
- Motivated by ownership and impact more than title, and comfortable working without much structure