At a Glance
- Tasks: Lead qualitative AI research and enhance consumer insights for innovative projects.
- Company: Join a rapidly growing boutique research consultancy making waves in the AI sector.
- Benefits: Enjoy a competitive salary of up to £65,000 plus an attractive benefits package.
- Why this job: Be at the forefront of AI research, shaping products and impacting consumer experiences.
- Qualifications: 4-7 years in consumer insight or customer success with strong qualitative research skills required.
- Other info: Work onsite 4 days a week and collaborate directly with top executives.
The predicted salary is between 60000 - 65000 £ per year.
The Company: Harnham have exclusively partnered with one of the second fastest-growing boutique research consultancies in the UK. They are looking for a qualitative research professional to join their expanding AI team.
The Role: As a Qualitative AI Research Lead you will be responsible for the following:
- Advancing the quality of the AI co-worker’s qualitative AI research across a range of consumer use cases.
- Helping self-serve customers get value from the product: you’ll be the product expert and an expert consumer insight consultant to the customer as they begin their journey.
- You’ll help shape the product by collaborating directly with the Product and Engineering teams, helping challenge their AI product to truly feel like working with an experienced human researcher.
- You’ll work with the CEO and Head of Growth supporting on late-stage deals and then be the customer’s main day-to-day contact point from the initial onboarding and onwards. You’ll also own your own new business opportunities outright.
Skills and Experience: You’re an expert, authoritative consumer researcher with strong qualitative research experience across a range of qualitative techniques, excited about building a new way of doing qualitative research. You know how to translate a client’s business objective into a highly impactful first product experience and insight.
- 4-7 years of customer success or consumer insight experience and you can point to examples where you have gone above and beyond for clients or other stakeholders.
- Excited to sell to customers and lead demos on your own from an early stage.
- Excited about the potential of AI, and to collaborate with our Product & Engineering teams creating the AI coworker, using your domain expertise to inform how they design, run and analyse consumer research using AI.
- Keen to get hands-on experience in shaping AI systems, including testing and feeding back consumer experience on their system to improve its knowledge and effectiveness.
The benefits: As a Qualitative AI Research Lead you can earn up to a base of £65,000 + plus an aggressive benefits package.
How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the Apply link on this page.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Qualitative AI Research Lead
✨Tip Number 1
Familiarise yourself with the latest trends in qualitative research and AI. Being well-versed in current methodologies and technologies will not only boost your confidence but also demonstrate your passion for the field during any discussions.
✨Tip Number 2
Network with professionals in the AI and qualitative research sectors. Attend relevant events or webinars to connect with industry leaders, which can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully translated client objectives into impactful research outcomes. This will showcase your expertise and ability to deliver results, which is crucial for the role.
✨Tip Number 4
Demonstrate your enthusiasm for AI by engaging with related content, such as articles, podcasts, or online courses. Showing that you are proactive about learning can set you apart from other candidates.
We think you need these skills to ace Qualitative AI Research Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your qualitative research experience and any relevant skills that align with the role of Qualitative AI Research Lead. Use specific examples to demonstrate how you've successfully translated client objectives into impactful research outcomes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and qualitative research. Explain why you're excited about this opportunity and how your background makes you a perfect fit for the role. Be sure to mention your experience in customer success and your ability to lead demos.
Showcase Relevant Projects: If possible, include a portfolio or examples of past projects that illustrate your expertise in qualitative research techniques. Highlight any instances where you've collaborated with product and engineering teams to enhance research processes.
Follow Application Instructions: Ensure you follow the application instructions carefully. Submit your application through the provided link on the StudySmarter website, and double-check that all documents are included and formatted correctly before hitting send.
How to prepare for a job interview at Harnham
✨Showcase Your Expertise
As a Qualitative AI Research Lead, it's crucial to demonstrate your deep understanding of qualitative research techniques. Prepare specific examples from your past experiences where you've successfully translated client objectives into impactful insights.
✨Understand the Product
Familiarise yourself with the company's AI products and how they integrate qualitative research. Be ready to discuss how you can enhance the product experience for customers and provide valuable insights during the interview.
✨Highlight Collaboration Skills
Since the role involves working closely with Product and Engineering teams, emphasise your ability to collaborate effectively. Share instances where you've worked cross-functionally to achieve a common goal, especially in a research context.
✨Prepare for Customer Engagement Scenarios
Expect questions about customer success and engagement. Prepare to discuss how you've gone above and beyond for clients in the past, and be ready to role-play scenarios where you lead demos or onboarding sessions.