Product Manager

Product Manager

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Envision Pharma Group

At a Glance

  • Tasks: Lead the development of AI and machine learning products that transform life sciences.
  • Company: Join a purpose-driven company focused on life-changing outcomes and community impact.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for personal and professional growth.
  • Other info: Dynamic team environment with a focus on innovation and career advancement.
  • Why this job: Shape the future of AI in life sciences and make a real difference.
  • Qualifications: 3 years in product management with AI/ML experience and strong collaboration skills.

The predicted salary is between 60000 - 80000 £ per year.

Shape the next generation of AI and machine learning products transforming the life sciences industry. Work shouldn't just be something we do; it should have a purpose. At Envision, we believe in creating life‑changing outcomes through the work we do with our clients, giving back to our communities, while creating a company culture where our people thrive. We believe success starts with a workplace where everyone feels valued, supported, and empowered to grow.

Being part of a collaborative team means there's no limit to what you can achieve. With us, you can be a part of a growing company you want to work for.

The opportunity at Riparian involves transforming the Life Science industry through next generation enterprise software powered by data, analytics, and intelligent automation. We are seeking a Product Manager for Artificial Intelligence / Machine Learning who can provide clear direction and vision for AI/ML driven capabilities, translate business and client needs into scalable intelligent solutions, and work closely with engineering, data science, and client teams to deliver measurable value.

This role requires a strong balance of product thinking, technical fluency in AI/ML concepts, and the ability to communicate effectively with both technical and non‑technical stakeholders.

Role responsibilities:
  • Drive product planning and implementation for AI/ML enabled features and platforms
  • Define and document product requirements for AI/ML use cases and ensure they are successfully implemented and validated
  • Analyze client and business needs to identify opportunities where AI/ML can improve efficiency, accuracy, or user experience
  • Partner with data science and engineering teams to shape models, workflows, and system integrations
  • Help clients understand and adopt AI/ML powered functionality, identifying opportunities for continuous improvement
  • Evaluate competitor and market offerings in AI/ML, identifying opportunities for differentiation and innovation
  • Provide requirements for features to be developed
  • Prioritize AI/ML initiatives, enhancements, and technical debt as part of release planning
  • Collaborate closely with engineering and data science teams on solution design and feasibility
  • Coordinate with QA and data teams on testing, validation, and monitoring of AI/ML models and outputs
  • Develop and maintain a product roadmap for AI/ML capabilities aligned with business goals
  • Interact with clients, users, and internal stakeholders to gather feedback and measure value realization
Do you have what we are looking for?Skills & expertise:
  • 3 years of experience in product management, data products, or intelligent software solutions
  • Experience working with Artificial Intelligence, Machine Learning, or advanced analytics concepts (e.g., predictive models, automation, or decision support systems)
  • Experience delivering modern software products in Agile or iterative development environments
  • Experience with product design and user experience (UX)
  • Ability to write clear and comprehensive product requirements, user stories, and use cases for technical audiences
  • Experience collaborating with engineering, data science, and QA teams
  • Familiarity with product and project management tools such as JIRA

Product Manager employer: Envision Pharma Group

At Riparian, we are dedicated to transforming the life sciences industry through innovative AI and machine learning solutions. Our collaborative work culture fosters an environment where every employee is valued and empowered to grow, offering ample opportunities for professional development and meaningful contributions to impactful projects. With a strong commitment to community engagement and a focus on creating life-changing outcomes, Riparian stands out as an exceptional employer for those seeking a rewarding career in a dynamic and supportive setting.
Envision Pharma Group

Contact Detail:

Envision Pharma Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product Manager

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by researching the company and its products. Understand their AI/ML initiatives and think about how your experience aligns with their goals. This will help you stand out as someone who’s genuinely interested in their mission.

✨Tip Number 3

Practice your pitch! Be ready to explain how your skills in product management and AI/ML can drive value for the company. Keep it concise and focus on how you can contribute to their success.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.

We think you need these skills to ace Product Manager

Product Management
Artificial Intelligence
Machine Learning
Data Analysis
Agile Development
User Experience (UX) Design
Technical Writing
Collaboration with Engineering Teams
Familiarity with JIRA
Requirements Gathering
Stakeholder Communication
Roadmap Development
Continuous Improvement
Market Analysis

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Product Manager role. Highlight your experience with AI/ML and how it aligns with our mission at Envision. We want to see how you can shape the future of life sciences!

Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences that showcase your product management expertise, especially in AI/ML. We love seeing how you've made an impact in previous roles.

Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your achievements and how they relate to the responsibilities of the role. We appreciate clarity as much as you do!

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’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Envision Pharma Group

✨Know Your AI/ML Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how these technologies can be applied in the life sciences industry. Prepare examples of how you've used AI/ML in past projects or how you envision it transforming products.

✨Showcase Your Product Management Skills

Be prepared to talk about your experience in product management, especially in agile environments. Highlight specific projects where you defined product requirements, collaborated with teams, and delivered successful outcomes. Use metrics to demonstrate your impact!

✨Communicate Like a Pro

Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of scenarios where you had to bridge the gap between different teams and how you facilitated communication effectively.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's vision for AI/ML products and how they measure success. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation!

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