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- Tasks: Lead qualitative AI research and enhance consumer insights for innovative projects.
- Company: Join a rapidly growing boutique research consultancy in the UK.
- Benefits: Enjoy a competitive salary of £60,000-65,000 plus excellent benefits.
- Why this job: Shape the future of AI research while collaborating with top professionals.
- Qualifications: 4-7 years in consumer insight or customer success; strong qualitative research skills required.
- Other info: Onsite role with opportunities to influence product development directly.
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.
Qualitative AI Research Lead employer: Harnham
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 interviews.
✨Tip Number 2
Network with professionals in the AI and qualitative research sectors. Attend relevant conferences or webinars, and engage with thought leaders on platforms like LinkedIn. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 3
Prepare to discuss specific examples from your past experiences where you've successfully translated client objectives into impactful research outcomes. This will showcase your expertise and ability to drive results, which is crucial for this role.
✨Tip Number 4
Demonstrate your enthusiasm for collaboration by thinking of ways you could work with product and engineering teams. Be ready to share ideas on how to enhance AI systems based on consumer insights, as this aligns perfectly with the job's requirements.
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 AI knowledge. Use specific examples that demonstrate your expertise in consumer insights and how you've gone above and beyond for clients.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for qualitative research and AI. Explain why you're excited about the role and how your skills align with the company's goals. Mention your experience in collaborating with product and engineering teams.
Showcase Relevant Projects: Include details of specific projects where you successfully translated business objectives into impactful research outcomes. Highlight any hands-on experience you have with AI systems and how you've contributed to their development.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for this role.
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.
✨Highlight Collaboration Skills
This role involves working closely with Product and Engineering teams. Be ready to discuss how you've effectively collaborated with cross-functional teams in the past, particularly in shaping products or services based on consumer insights.
✨Demonstrate Customer Success Experience
With 4-7 years of customer success experience required, come prepared with stories that illustrate how you've gone above and beyond for clients. Highlight any instances where your efforts led to significant improvements in customer satisfaction or product usage.
✨Express Enthusiasm for AI
Since the role is centred around AI, convey your excitement about its potential. Discuss any relevant projects or experiences where you've engaged with AI technologies, and how you envision using them to enhance qualitative research.
