Product Manager

The opportunity

The primary responsibility of the Product Manager is to support our growing business by managing and developing our suite of products, to ensure product functionality and customer satisfaction.

Main duties and responsibilities

You will work closely with the leadership team to maintain product strategies, whilst managing the UI/UX function. Join the dots between customer needs, product features, and technical implementation, ensuring that the wider Intellegens team are making informed decisions whilst following the product roadmap. Continuously ensure that stakeholders are notified of changing requirements, that best practices are upheld, and feature developments are communicated correctly, inline with customer needs and the overall product context.

What makes you our next Product Manager?

Essential requirements

• A technical background or have good technical know-how
• Minimum 3+ years experience in product management, delivering successful and innovative software products, ideally in a scientific environment
• Experience supporting the product sprint management in collaboration with the development team to deliver high-quality features with intuitive user experience
• Communication of product roadmap, progress, needs and roadblocks regularly with stakeholders
• Fast iteration of product features; implement processes to build, measure, learn
• Fast iteration of product features; implement processes to build, measure, learn
• Ability to talk to clients, find out their needs to make sure our products are always simple and easy to understand and use
• Experience in managing, supporting and developing a team
• Be passionate about customers and solving real-world pain points
• Demonstrate professional courage and influence
• Be highly motivated, enthusiastic and results driven
• Be passionate about being a key contributor to the growth of the company
• Demonstrate a desire for learning and personal development

Desirable requirements

• Experience in B2B (enterprise) or SaaS based products
• Formal education / training in product management theory
• Management of small team to help deliver the product roadmap
• Willingness to travel to customer sites, and relevant events, both in the UK and overseas, to promote and understand the use of the products

The above is not an exhaustive list and you are required to be flexible in your approach to carrying out your duties which may change from time to time in order to reflect business needs or the company’s continuous improvement. Intellegens is committed to providing training and development opportunities as part of the role to grow the technical, communication, and scientific skills of the successful candidate.

What can we offer you?

• A competitive financial package – salary and share options
• 5 weeks annual leave pro rata, flexible leave policy
• Salary sacrifice pension, with company savings being paid into the scheme
• A collaborative work environment with neither red tape nor bureaucracy
• Scope for career development as an early team member
• Support and resources to develop your skills and succeed in the role
• Hybrid working arrangements and a great team culture
• Access to an EAP, wellbeing champion, and financial advice
• Enhanced sickness policy
• Regular social and team building events
• Cycle scheme

About Intellegens

At Intellegens we enable our customers to apply advanced machine learning methods, accelerating innovation in materials, chemicals, manufacturing, and beyond. Our software can extract hidden value from real-world experimental and process data, serving organisations such as NASA, Johnson Matthey, Boeing, and AstraZeneca. The results are: faster R&D; greener, more cost-effective, better products; and more efficient use of resources. Originally a spin-out from the University of Cambridge, we are at an exciting phase in our development, with well-established products and customers and ambitious growth plans including a move to new headquarters in Cambridge and expanding our team into the US. We push the boundaries of machine learning, while working on interesting projects in a friendly, informal, and motivational work environment.