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- Tasks: Lead the development of 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 while making a real impact in safety-critical industries.
- Qualifications: Bachelor’s degree and 3+ years in product management, preferably in B2B SaaS.
- 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
Prepare to discuss specific examples of how you've used analytics tools like Power BI in your previous roles. Being able to articulate your hands-on experience with data reporting features will set you apart from other candidates.
✨Tip Number 4
Showcase your understanding of Agile methodologies by discussing your experience in cross-functional teams. Highlight any successful projects where you acted as a liaison between stakeholders and development teams to demonstrate your collaborative skills.
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 AI-driven features.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI products. Discuss how your background aligns with the job requirements and provide specific examples of how you've successfully managed product roadmaps and collaborated with cross-functional teams.
Showcase Analytical Skills: Since the role requires strong analytical skills, mention any experience you have with analytics tools like Power BI. Provide examples of how you've used data to inform product decisions or enhance features in previous roles.
Highlight Agile Experience: Detail your experience with Agile methodologies in your application. Mention specific projects where you participated in Agile ceremonies and how you contributed to product delivery timelines and metrics.
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 involves using analytics to inform feature enhancements, be ready to talk about the analytics tools you've used, like Power BI. Share examples of how you've leveraged data to make informed decisions and prioritise product backlogs.
✨Understand Agile Methodologies
Familiarise yourself with Agile practices, as this role requires participation in Agile ceremonies. Be prepared to discuss your experience working with cross-functional teams and how you've managed trade-offs to deliver maximum impact.
✨Stay Updated on Industry Trends
Research current trends in data, AI, and compliance sectors. Being knowledgeable about emerging technologies and competitor products will show your passion for the industry and your commitment to keeping the product competitive.
