Application Guide

How to Apply for Delivery / Product Manager, Loss of Control Observatory

at Centre for Long-Term Resilience

🏢 About Centre for Long-Term Resilience

The Centre for Long-Term Resilience is an independent think tank focused on global resilience to extreme risks, with current priorities in artificial intelligence and biosecurity. Working here means contributing directly to high-stakes, policy-relevant work that aims to prevent catastrophic outcomes. The Loss of Control Observatory is a flagship initiative, giving you a chance to shape how society monitors and responds to emerging AI risks.

About This Role

As Delivery / Product Manager for the Loss of Control Observatory, you will own the operational backbone of a scale-up effort—turning strategy into a clear roadmap, backlog, and measurable milestones. You’ll run agile ceremonies, manage risks and dependencies, and keep technical, analytical, and communications workstreams aligned. This role is pivotal: without strong delivery, the Observatory’s mission to track and mitigate loss-of-control risks could stall.

💡 A Day in the Life

You might start with a daily stand-up to unblock the technical team, then update the roadmap and backlog based on new insights from analysts. Later, you’d coordinate with communications on a milestone report, log a key decision from leadership, and flag a potential dependency risk to the project lead. The day ends with a retrospective prep, ensuring the team continuously improves its delivery rhythm.

🎯 Who Centre for Long-Term Resilience Is Looking For

  • Proven experience as a Delivery Manager, Product Manager, or Scrum Master in a fast-paced, technical environment—ideally within a startup, scale-up, or research organisation.
  • Strong grasp of agile delivery practices (sprint planning, stand-ups, retrospectives) and tools like Jira, Trello, or Asana, with a track record of converting strategy into actionable backlogs.
  • Ability to manage complex dependencies across technical, analytical, and communications teams, and to flag slippage early with clear, data-informed reporting.
  • Comfort with ambiguity and a proactive approach to risk management—maintaining a decision log, unblocking teams, and forcing timely decisions without direct authority.

📝 Tips for Applying to Centre for Long-Term Resilience

1

Highlight any experience delivering projects in AI safety, biosecurity, or other high-risk domains—even if not directly in a think tank—to show you understand the stakes.

2

Use the phrase 'loss of control' in your application and demonstrate familiarity with the concept (e.g., from AI safety literature) to prove you’ve done your homework.

3

Quantify your delivery impact: e.g., 'reduced sprint slippage by X%' or 'coordinated Y cross-functional teams to deliver Z milestones on time'.

4

Mention specific agile tools and ceremonies you’ve implemented, and how you adapted them to a remote-first, mission-driven environment.

5

Address the remote UK aspect: show you can thrive in a distributed team and have systems for asynchronous coordination and transparent progress tracking.

✉️ What to Emphasize in Your Cover Letter

Emphasise your ability to translate high-level strategy into a deliverable roadmap and backlog for a technical initiative. Show you can run agile ceremonies and track milestones while flagging slippage early—especially in a remote setting. Highlight experience managing cross-functional dependencies (technical, analytical, communications) and maintaining a decision log to drive decisions. Convey a genuine interest in the Centre’s mission and the Observatory’s focus on AI loss-of-control risks.

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • Read the Centre for Long-Term Resilience’s website, especially their reports and blog posts on AI and biosecurity, to understand their framing of extreme risks.
  • Look for any public information or publications about the Loss of Control Observatory—if not available, research similar AI observatory or monitoring initiatives to infer likely goals.
  • Familiarise yourself with key AI safety concepts like 'loss of control', 'alignment', and 'existential risk' to speak credibly about the domain.
  • Check the LinkedIn profiles of current staff to understand their backgrounds and the organisation’s culture, and see if any team members have delivery or product backgrounds.
Visit Centre for Long-Term Resilience's Website →

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you establish delivery practices for a newly scaling observatory, and what metrics would you use to measure progress?
2 Describe a time you identified a delivery risk early and how you mitigated it—what was the outcome?
3 How do you coordinate dependencies between technical, analytical, and communications teams when priorities conflict?
4 What’s your approach to running agile ceremonies in a remote, mission-driven organisation where team members may have deep technical expertise?
5 Why are you interested in AI loss-of-control risks, and how do you see delivery management contributing to this field?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on generic agile methodology without connecting it to the specific challenges of a research think tank scaling up a technical observatory.
  • Ignoring the mission: applying without demonstrating any interest in or knowledge of AI safety, biosecurity, or extreme risks.
  • Overlooking the remote aspect: not addressing how you’ll maintain delivery momentum and team cohesion in a fully remote UK setting.

📅 Application Timeline

⏰ Deadline: September 18, 2026

We recommend applying at least a few days early to avoid last-minute technical issues.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Centre for Long-Term Resilience!