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Wizeline

Senior/Staff Product Manager

Reposted 18 Days Ago
Be an Early Applicant
In-Office
Manchester, Greater Manchester, England
Senior level
In-Office
Manchester, Greater Manchester, England
Senior level
The Staff Product Manager leads product strategy and development while collaborating with clients and various teams to enhance customer value through continuous delivery and agile principles.
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We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Location: EMEA, MANCHESTER, UK

Model: Hybrid, 3 days at customer office (Irlam)

Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Key Responsibilities

As a Product Management Consultant at Wizeline, you will provide leadership and support through the following activities: 

  • Developing product strategy, enabling a transition from project thinking to continuous delivery of customer value. 
  • Developing product roadmap including key milestones.
  • Prioritize and evaluate features.
  • Design solution: develop use cases, user stories, and acceptance criteria, along with UX Design Leads
  • Align stakeholders to a shared understanding of the product’s vision, including market, problem, persona, stakeholders, and goals.
  • Strategic Thinking: ability to lead to answers for the increasingly large problem and product areas, with corresponding internal thought leadership. 
  • Details & Quality: driving results and catching mistakes across the evolving scope. 
  • Collaboration: facilitating and getting things done with others within and across teams. 
  • Communication: clear written and oral communication to larger and higher stakes audiences.
  • Lean / Agile Principles: evangelize and foster Lean/Agile principles to reduce waste and drive continuous development.
  • Data and Experimentation: help shift client focus from outputs to outcomes and optimize value through rapid build/measure/learn cycles.
  • Experience in applying Artificial Intelligence (AI) and Machine Learning (ML) principles for product definition, process optimization, or the creation of new value propositions, including understanding how AI can solve business problems and enhance user experience
Are You a Fit?

To be successful in this role, you must have:

  • 7+ years of product management experience
  • Demonstrated ability to lead product strategy, product definition, and product discovery through various phases of the product lifecycle, driving business outcomes and customer value.
  • BA/BS degree in Science, Engineering or equivalent practical experience
  • Experienced product leader who blends strong technical, business, and people skills with a refined product sense and strong empathy for users
  • Experience working with UX Designers, Software Engineers, and multidisciplinary teams, on a collaborative process to define product strategy and roadmap 
  • A clear understanding of software development lifecycle
  • Outgoing and positive thinking about possibilities, where others see problems you see challenges.
  • Can-Do attitude who can champion a product vision, strategy, and roadmap, from conception to launch.
  • Strong team player who supports their team in all regards and embraces ownership, accountability, and responsibility for the team’s work
  • Process-thinker who can continuously reinvent and improve how we do things
  • Storyteller with strong English skills who communicates effectively and inspires with your vision

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

Find out more about our culture here.

Top Skills

Agile
AI
Cloud-Native Technologies
DevOps
Machine Learning

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