Automations Lead

Pivotal Research; Greater London; Sur place; GBP 87 000 - 156 000; Plein temps

Résumé du poste

Pivotal Research in London is seeking a senior AI tooling engineer to build and run the AI tools and automations behind our applications, fellow management, operations and reporting. The goal is to enable the team to do more with AI without proportional growth.

You will spend time improving existing tools for reliability and data protection, and the rest building new solutions. You’ll engage with team members to identify time-consuming pain points and ship practical, compliant solutions.

Qualifications

• Strong software engineering skills and building tools with AI.
• Experience shipping useful tools quickly.
• Focus on reliability, security and data protection.

Responsabilités

• Build and run AI tools and automations for applications, fellow management, operations and reporting.
• Maintain the AI graders and design human review steps around them.
• Keep applicant, fellow and alumni data clean and connected to measure outcomes.
• Ensure tools protect personal data and follow data protection laws.
• Help staff and fellows use AI tools effectively.

Connaissances

Software engineering

AI tooling

User communication

Reliability & security

Data protection

AI risk reduction

Description du poste

You use AI and automation to make Pivotal’s work faster and better, so that the team can do more without growing as fast.

• Salary: £86,750–£155,500 per year, depending on seniority. We may be able to pay more for exceptional candidates.

• Location: London, at our office at LISA

• Hours: Full time

• Visa: We can sponsor a Skilled Worker visa

Why work at Pivotal

Pivotal finds people who can work on the biggest risks from advanced AI and gets them working on them. Since 2024, 135 fellows have taken part in our fellowships, and alumni now work at METR, Apollo Research, UK AISI and GovAI. We have grown from 2 staff in 2024 to 10 today, and we plan to reach at least 16 in 2027. Read more about us at pivotal-research.org.

What you will own

You’ll make the rest of the team faster & better by building & running the AI tools and automations behind our applications, fellow management, operations, etc. The goal is that Pivotal can run more and better programs without its team growing at the same rate. The AI safety field must grow a lot, and this will help Pivotal scale to support this growth.

We expect you to spend about 30% of your time making our existing tools better and more reliable. The rest goes to new tools. You talk to team members about what costs them the most time, tools they wish existed, and ship solutions quickly. Every tool has to meet our quality bar, protect personal data, and follow data protection law and our internal rules for AI use.

You might also be a central figure in a planned program on ‘AI for AI Safety’.

• Internal tools. Build and maintain automations and AI agents for applications, fellow management, operations and reporting.

• Application screening tools. Maintain the AI graders, check them for bias and errors, and design the human review steps around them.

• Data. Keep applicant, fellow and alumni data clean and connected, so that we can measure outcomes.

• Safe handling of data. Make sure our tools protect personal data and follow data protection law. You’ll have access to legal advice for this.

• AI use across the team. Help staff, and fellows, use AI tools well.

Who does well in this role

• Strong software engineering skills, and experience building tools with large language models and AI agents.

• You talk to users, find the work that matters most, and ship quickly.

• You care about reliability, security and data protection.

• You can explain technical trade-offs in plain language.

• You care about reducing catastrophic risks from AI.

If you need an adjustment at any stage, such as extra time, tell us and we will arrange it. If you have questions, email [e-mail].