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- Tasks: Lead content strategies and improve AI model outputs for innovative products.
- Company: Dynamic tech company focused on cutting-edge AI solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on exciting projects with a talented team.
- Qualifications: 7+ years in content strategy and experience with AI/ML evaluation.
- Other info: Fast-paced environment with room for creativity and independent work.
The predicted salary is between 48000 - 72000 £ per year.
Responsibilities
- Develop and lead strategies for content initiatives, providing guidance on project intake, design, and development.
- Write and iterate on systems prompts to evaluate and improve large-language model (LLM) outputs for specific product use cases.
- Oversee and guide the execution of multiple workstreams, ensuring alignment with organizational objectives and program strategy.
- Perform data exploration and analysis to produce actionable insights and reports for engineering, strategy, and product teams.
- Define emergent opportunities and support the team in executing in highly ambiguous areas; nimble support and flexibility is required.
- Design and implement scalable, adaptable processes, workflows, and content templates to support program growth and operational excellence.
- Maintain commitment to accuracy and consistency in content review, including guidelines and AI model evaluation.
Qualifications
- 7+ years of relevant experience in content strategy, program management, or related field working with engineering, design and user research teams.
- 1+ years of advanced experience in AI/ML model content evaluation and advanced prompt engineering.
- Critical thinker with exceptional ability to translate data findings into clear, concise, and compelling reports.
- Ability to dive into and adopt evolving AI tools / solutions to improve overall productivity.
- Strong executive communication and relationship-building skills.
- Experience with social media platforms, content discovery tools, or content strategy and AI development.
- Creative self-starter that can operate independently.
- Proficiency in Google Sheets and conducting data analysis.
Product Content Engineering Specialist in London employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Content Engineering Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to content strategy and AI/ML. We recommend doing mock interviews with friends or using online platforms to get comfortable and confident.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving content initiatives and AI model evaluation. We want to see your creativity and problem-solving abilities in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Product Content Engineering Specialist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Product Content Engineering Specialist role. Highlight your relevant experience in content strategy and AI/ML model evaluation, as this will show us you’re a perfect fit for what we’re looking for.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that align with the responsibilities mentioned in the job description. This helps us see how you can contribute to our team right away.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and insights, especially when it comes to data analysis and reporting.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Morgan McKinley
✨Know Your Content Strategy
Make sure you understand the ins and outs of content strategy, especially in relation to AI/ML. Brush up on your experience with project intake and development processes, as well as how you've previously aligned content initiatives with organisational objectives.
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples where you've performed data exploration and analysis. Highlight how your insights have led to actionable outcomes for engineering or product teams. Use concrete numbers or results to back up your claims.
✨Demonstrate Flexibility and Creativity
Since the role requires navigating ambiguous areas, share instances where you've had to adapt quickly to changing circumstances. Talk about how your creative problem-solving has helped you design scalable processes or workflows in past projects.
✨Communicate Effectively
Strong communication skills are key for this position. Practice articulating your thoughts clearly and concisely, especially when discussing complex topics like AI model evaluation. Be ready to explain how you've built relationships with cross-functional teams in previous roles.