At a Glance
- Tasks: Lead the development of innovative AI products and build a strong engineering team.
- Company: Join a cutting-edge AI company in London, transforming research into real-world applications.
- Benefits: Competitive salary up to £210k, equity options, and a dynamic work environment.
- Why this job: Be at the forefront of AI innovation, working with top tech companies and frontier labs.
- Qualifications: Strong engineering background, experience in AI product development, and leadership skills required.
- Other info: This role requires significant on-site presence; flexibility varies weekly.
A newly formed role with a huge remit to bring the product roadmap to life. Opportunity to transform cutting-edge AI research into tangible products. Initial customers consist of AI frontier labs and big tech companies. I’m looking for a Product Engineering Lead or Head of Product Engineering to join one of the most exciting AI companies in London right now. You’ll enjoy a huge amount of autonomy and the opportunity to not just build a suite of customer-facing AI products but also build out the entire product engineering function.
You’ll need to be someone who thinks deeply about the future of AI, ideally with a track record of publicly engaging on topics such as AGI or frontier AI applications. You’ll need to demonstrate both technical insight and thoughtful consideration of the biggest challenges that lie ahead. Given how important this role is to the success of the business, the requirements are extensive, but feel free to apply even if you don’t hit 100% of the requirements below.
Essential:- Strong engineering background (ideally Python and React)
- Experience building AI products from scratch.
- Background working in high-growth startups/scaleups.
- Experience developing products using cutting-edge research or working with highly ambiguous requirements.
- Solid background developing a successful go-to-market strategy and defining an AI product roadmap.
- Experience building and leading engineering teams.
- Thoughtful about the future of AI, with public work on AGI or frontier applications a strong plus.
If you’re not from an engineering background, it might not be a deal breaker as there is scope to build out an engineering function around you, but if that is the case, you will need a super impressive background as an AI product leader.
Bonus requirements:- Experience building multi-agent systems.
- LLM evals knowledge.
- Deep interest in AI alignment and safety.
- Have previously founded/co-founded an AI/ML startup and understand the challenges of taking something from 0 to 1.
- Experience executing deals worth millions of £££.
If the idea of working closely with the AI frontier labs (Open AI, Anthropic, etc) excites you, and you have a background in building AI/ML products from scratch and taking them to market, then this could be the role you’ve been looking for.
N.B. This role does have a heavy on-site requirement. You will need to be happy with being in the office the majority of the week. There is a degree of flexibility week to week, but it’s certainly not a remote position or one you can get away with 1-2 days a week in the office.
Reach out to Jamie Forgan at SR2 for more information.
Head of Product (City of London) employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Product (City of London)
✨Tip Number 1
Network with professionals in the AI and product engineering space. Attend industry events, meetups, or webinars where you can connect with like-minded individuals and potential colleagues. This can help you gain insights into the role and make valuable connections that could lead to referrals.
✨Tip Number 2
Engage with thought leaders in AI on platforms like LinkedIn or Twitter. Share your own insights and opinions on topics related to AGI and frontier AI applications. This not only showcases your knowledge but also helps you build a personal brand that aligns with the expectations of the role.
✨Tip Number 3
Consider creating a portfolio that highlights your previous work in building AI products. Include case studies that demonstrate your ability to take products from concept to market, especially if they involved cutting-edge research or innovative solutions to ambiguous challenges.
✨Tip Number 4
Prepare for interviews by staying updated on the latest trends and challenges in AI product development. Be ready to discuss your vision for the future of AI and how you would approach building a successful product roadmap, as this will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Head of Product (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your engineering background, particularly in Python and React. Emphasise any experience you have in building AI products from scratch and leading engineering teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and your thoughts on its future. Mention any public engagements or work related to AGI or frontier AI applications to showcase your deep understanding of the field.
Showcase Relevant Experience: Detail your experience in high-growth startups or scaleups, focusing on how you've developed successful go-to-market strategies and defined product roadmaps for AI products.
Highlight Leadership Skills: If you have experience building and leading engineering teams, make sure to highlight this in your application. Discuss your approach to team management and how it has contributed to successful product outcomes.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your Technical Expertise
Given the technical nature of the Head of Product role, be prepared to discuss your engineering background in detail. Highlight your experience with Python and React, and share specific examples of AI products you've built from scratch.
✨Demonstrate Your Vision for AI
This position requires a deep understanding of the future of AI. Be ready to articulate your thoughts on AGI and frontier applications. Discuss any public work or engagement you've had on these topics to showcase your thought leadership.
✨Highlight Your Leadership Experience
As a potential leader of the engineering team, it's crucial to demonstrate your experience in building and leading teams. Share examples of how you've successfully managed teams in high-growth environments and the strategies you employed to foster collaboration and innovation.
✨Prepare for Ambiguity
The role involves working with highly ambiguous requirements. Be prepared to discuss how you've navigated uncertainty in previous projects. Share your approach to developing go-to-market strategies and product roadmaps in such environments.