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- Tasks: Lead the development of data and AI-driven reporting features for a cutting-edge software platform.
- Company: Join a dynamic B2B tech company focused on innovative learning and compliance solutions.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, making a real impact in safety-critical industries.
- Qualifications: Bachelor’s degree and 3+ years in product management, preferably in a B2B SaaS environment.
- Other info: Experience with Generative AI or Machine Learning is a plus!
The predicted salary is between 36000 - 60000 £ per year.
Futureheads have partnered with a B2B technology company seeking a Data and AI Product Manager to take charge of the development of data and AI-driven reporting features within its learning and compliance software platform. This role focuses on shaping the product roadmap, collaborating across teams, and delivering innovative solutions that provide value to customers in safety-critical industries.
Key Responsibilities:
- Develop and maintain the product roadmap for new reporting dashboards and related features, based on market trends, customer needs, and business priorities.
- Gather and analyse feedback from customers and stakeholders to refine product direction.
- Use analytics to inform feature enhancements and prioritise the product backlog.
- Collaborate with engineering and data teams to ensure robust data collection, storage, and reporting, while ensuring compliance with data privacy regulations.
- Explore and implement AI-driven insights, predictive analytics, and automated reporting capabilities.
- Define and prioritise product features, write user stories and acceptance criteria, and manage trade-offs for maximum impact.
- Act as a liaison between business stakeholders and development teams, ensuring clear communication and timely delivery.
- Support customer success and sales teams with product knowledge, adoption strategies, and user documentation.
- Participate in Agile ceremonies and report on key product metrics and delivery timelines.
- Advocate for customer needs throughout the product development process and identify opportunities for improvement.
- Stay informed on industry trends, competitor products, and emerging technologies to keep the product competitive.
Requirements:
- Bachelor’s degree in a relevant field (e.g., Business, Computer Science, Engineering).
- 3+ years’ experience as a Product Manager or similar role within a B2B SaaS environment.
- Proven experience building reporting dashboards or similar features from the ground up.
- Strong understanding of Agile methodologies and experience working with cross-functional teams.
- Excellent communication skills, with the ability to translate technical concepts into customer-focused requirements.
- Strong analytical skills and experience with analytics tools (e.g., Power BI).
- Ability to manage multiple projects in a fast-paced environment.
- Passion for building products that solve real customer problems.
- Experience with Generative AI or Machine Learning.
Great to have:
- Background in education, compliance, or energy sectors.
- Familiarity with product management and design tools (e.g., Jira, Confluence, Miro).
- Understanding of UX/UI design principles.
Product Manager- Data and AI employer: Futureheads Recruitment | B Corp™
Contact Detail:
Futureheads Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager- Data and AI
✨Tip Number 1
Familiarise yourself with the latest trends in data and AI, especially within the B2B SaaS sector. This knowledge will not only help you understand the market better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the product management field, particularly those who have experience in data-driven products. Attend industry events or webinars to connect with potential colleagues and learn from their experiences.
✨Tip Number 3
Brush up on your Agile methodologies and be prepared to discuss how you've successfully implemented them in past roles. Being able to articulate your experience with cross-functional teams will demonstrate your capability to manage complex projects.
✨Tip Number 4
Showcase your analytical skills by preparing examples of how you've used analytics tools like Power BI in previous roles. Be ready to discuss specific instances where your insights led to product improvements or strategic decisions.
We think you need these skills to ace Product Manager- Data and AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, especially within B2B SaaS environments. Emphasise your work with reporting dashboards and any experience with data and AI-driven features.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building products that solve real customer problems. Mention specific examples of how you've gathered and analysed feedback to refine product direction in previous roles.
Showcase Analytical Skills: Demonstrate your analytical skills by discussing your experience with analytics tools like Power BI. Provide examples of how you've used data to inform feature enhancements and prioritise product backlogs.
Highlight Collaboration Experience: Since the role involves collaboration with engineering and data teams, highlight your experience working in cross-functional teams. Discuss how you’ve acted as a liaison between stakeholders and development teams to ensure clear communication.
How to prepare for a job interview at Futureheads Recruitment | B Corp™
✨Showcase Your Product Management Experience
Be prepared to discuss your previous experience as a Product Manager, especially in B2B SaaS environments. Highlight specific projects where you developed reporting dashboards or similar features, and explain how you gathered customer feedback to shape the product roadmap.
✨Demonstrate Analytical Skills
Since the role requires strong analytical skills, come equipped with examples of how you've used analytics tools like Power BI to inform feature enhancements. Discuss how you prioritised the product backlog based on data-driven insights.
✨Understand Agile Methodologies
Familiarise yourself with Agile methodologies, as this is crucial for the role. Be ready to talk about your experience participating in Agile ceremonies and how you collaborated with cross-functional teams to deliver products on time.
✨Stay Updated on Industry Trends
Research current trends in data and AI, particularly within safety-critical industries. Being knowledgeable about competitor products and emerging technologies will show your passion for the field and your commitment to keeping the product competitive.
