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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 a competitive salary, equity options, and the chance to shape the future of AI.
- 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.
Head of AI Product employer: SR2
Contact Detail:
SR2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Product
✨Tip Number 1
Network with professionals in the AI and tech industry. Attend meetups, conferences, or webinars where you can connect with people who are already working in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your thought leadership in AI by engaging in discussions 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, which is crucial for this role.
✨Tip Number 3
Prepare to discuss your experience with building AI products from scratch. Be ready to share specific examples of challenges you've faced and how you overcame them, as well as your approach to developing go-to-market strategies.
✨Tip Number 4
Research the latest trends and advancements in AI, particularly around AGI and frontier applications. Being knowledgeable about current developments will not only impress during interviews but also show your genuine passion for the field.
We think you need these skills to ace Head of AI 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 how your experience aligns with the role. Discuss your thoughts on the future of AI and any public work you've done on AGI or frontier applications.
Showcase Relevant Experience: When detailing your previous roles, focus on your experience in high-growth startups or scaleups. Highlight specific projects where you developed go-to-market strategies and defined product roadmaps.
Prepare for Technical Questions: Be ready to discuss your technical insights and experiences in depth. Prepare examples of how you've tackled ambiguous requirements and transformed cutting-edge research into tangible products.
How to prepare for a job interview at SR2
✨Showcase Your Technical Expertise
Given the strong engineering background required for this role, be prepared to discuss your experience with Python and React in detail. Highlight specific projects where you built AI products from scratch, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your Vision for AI
This position requires someone who thinks deeply about the future of AI. Be ready to share your thoughts on AGI and frontier AI applications. Discuss any public work or engagement you've had on these topics to showcase your passion and insight.
✨Discuss Your Leadership Experience
As a Head of AI Product, you'll need to lead engineering teams effectively. Prepare examples of how you've built and managed teams in high-growth environments. Emphasise your approach to fostering collaboration and innovation within your teams.
✨Prepare a Go-to-Market Strategy
Since developing a successful go-to-market strategy is essential, think about how you would approach this for the AI products you’ve worked on. Be ready to discuss your past experiences in defining product roadmaps and executing strategies that led to successful launches.
