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For Companies 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: Enjoy competitive salary, 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 is limited.
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. 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.
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
✨Tip Number 1
Network with professionals in the AI and product engineering space. Attend industry events, webinars, or meetups where you can connect with like-minded individuals and potential colleagues. This can help you gain insights into the latest trends and challenges in AI product development.
✨Tip Number 2
Showcase your thought leadership by engaging in discussions about AI on platforms like LinkedIn or Twitter. Share articles, write posts, or comment on relevant topics to demonstrate your deep understanding of AI and its future. This will help you stand out as a candidate who is not only knowledgeable but also passionate about the field.
✨Tip Number 3
Research the company and its current AI products thoroughly. Understand their customer base and the challenges they face. This knowledge will allow you to tailor your conversations during interviews, showing that you are genuinely interested in their mission and how you can contribute to their success.
✨Tip Number 4
Prepare to discuss your experience with building AI products from scratch. Be ready to share specific examples of how you've navigated ambiguous requirements and developed successful go-to-market strategies. Highlighting these experiences will demonstrate your capability to lead in this new role.
We think you need these skills to ace Head of Product
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 Strategic Thinking
This position requires a solid understanding of go-to-market strategies and product roadmaps. Be ready to discuss how you've successfully developed and executed these strategies in previous roles, especially in high-growth startups.
✨Engage with AI Trends
Since the role involves thinking deeply about the future of AI, come prepared to discuss current trends and challenges in the field. Share any public work or insights you have on AGI or frontier AI applications to demonstrate your thought leadership.
✨Highlight Leadership Experience
As you'll be building and leading engineering teams, it's crucial to showcase your leadership skills. Discuss your experience in managing teams, fostering collaboration, and driving projects to completion, especially in ambiguous environments.
