Product Manager

Jobtailor

Burgess Hill

On-site

GBP 35,000 - 52,000

Full time

3 days ago
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Job summary

Jobtailor in the United Kingdom seeks an entry-level Product Management focused candidate to assist in shaping product strategy, discovery, and roadmaps. You will frame problems, develop hypotheses, and document requirements and acceptance criteria for cross-functional teams including engineering, design, and analytics.

The role emphasizes stakeholder engagement, user research, and data-driven decision making, with exposure to AI-enabled product concepts and metrics-driven launches.

Qualifications

  • Must have earned a Bachelor’s or Master’s degree in Business, Information Systems, Computer Science, Engineering, Business Analytics, Product Management, Economics, or another relevant field before the full-time start date
  • Graduation date between December 2026 and June 2027
  • Demonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts
  • Strong analytical and problem-solving skills
  • Ability to interpret data, evaluate information, identify patterns, form hypotheses, and develop clear recommendations
  • Strong written and verbal communication skills
  • Ability to explain ideas, product decisions, insights, risks, and recommendations clearly to technical and non-technical audiences
  • Ability to collaborate effectively within cross-functional teams and build strong working relationships with partners and stakeholders
  • Experience through coursework, projects, internships, research, student organizations, or extracurricular activities demonstrating leadership, organization, customer focus, product-oriented thinking, data literacy, or technical fluency
  • Preferred familiarity with Agile, Lean, Scrum, Kanban, product roadmaps, user stories, backlog prioritization, sprint planning, demos, retrospectives, prioritization discussions, risk awareness, or delivery metrics
  • Preferred exposure to customer research, design thinking, user-centered design, usability testing, journey mapping, product experimentation, launch measurement, post-launch learning, or accessibility practices
  • Preferred familiarity with APIs, platform products, data flows, system integrations, SDLC practices, implementation considerations, change management, or release management
  • Preferred experience using customer insights, dashboards, KPIs, experimentation, product metrics, operational insights, or quantitative and qualitative evidence
  • Preferred experience with Jira, Confluence, Figma, Miro, Excel, PowerPoint, Tableau, Power BI, or similar platforms

Responsibilities

  • Partner with Product Managers, Engineers, Designers, Data Analysts, Architects, and business stakeholders to support product strategy, discovery, roadmap planning, and product decision-making
  • Frame customer or colleague problems, define opportunities, develop hypotheses, and document product requirements, user stories, acceptance criteria, and solution concepts
  • Conduct customer discovery, stakeholder engagement, user research, usability testing, and synthesize qualitative and quantitative insights
  • Support prioritization by evaluating customer value, business value, technical feasibility, risk, effort, and product, customer, operational, and business data
  • Define product outcomes, KPIs, success measures, dashboards, launch measurement, and post-launch learning plans
  • Analyze customer, product, operational, and business data to identify trends, insights, opportunities, and recommendations
  • Collaborate across product, engineering, design, analytics, risk, security, operations, finance, and business teams on product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations
  • Evaluate AI or automation opportunities while applying responsible AI and human-in-the-loop practices

Skills

Analytical Skills
Problem Solving
Written & Verbal Communication
Collaboration
Leadership
Data Literacy
Interpreting Data
Hypothesis Development
Acceptance Criteria Definition
Solution Concept Documentation

Education

Bachelor’s degree or Master’s degree in Business, Information Systems, Computer Science, Engineering, Business Analytics, Product Management, Economics

Tools

Jira
Confluence
Figma
Miro
Excel
PowerPoint
Tableau
Power BI

Job description

  • Partner with Product Managers, Engineers, Designers, Data Analysts, Architects, and business stakeholders to support product strategy, discovery, roadmap planning, and product decision-making
  • Frame customer or colleague problems, define opportunities, develop hypotheses, and document product requirements, user stories, acceptance criteria, and solution concepts
  • Conduct customer discovery, stakeholder engagement, user research, usability testing, and synthesize qualitative and quantitative insights
  • Support prioritization by evaluating customer value, business value, technical feasibility, risk, effort, and product, customer, operational, and business data
  • Define product outcomes, KPIs, success measures, dashboards, launch measurement, and post-launch learning plans
  • Analyze customer, product, operational, and business data to identify trends, insights, opportunities, and recommendations
  • Collaborate across product, engineering, design, analytics, risk, security, operations, finance, and business teams on product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations
  • Evaluate AI or automation opportunities while applying responsible AI and human-in-the-loop practices
Requirements
  • Must have earned a Bachelor’s or Master’s degree in Business, Information Systems, Computer Science, Engineering, Business Analytics, Product Management, Economics, or another relevant field before the full-time start date
  • Graduation date between December 2026 and June 2027
  • Demonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts
  • Strong analytical and problem-solving skills
  • Ability to interpret data, evaluate information, identify patterns, form hypotheses, and develop clear recommendations
  • Strong written and verbal communication skills
  • Ability to explain ideas, product decisions, insights, risks, and recommendations clearly to technical and non-technical audiences
  • Ability to collaborate effectively within cross-functional teams and build strong working relationships with partners and stakeholders
  • Experience through coursework, projects, internships, research, student organizations, or extracurricular activities demonstrating leadership, organization, customer focus, product-oriented thinking, data literacy, or technical fluency
  • Preferred familiarity with Agile, Lean, Scrum, Kanban, product roadmaps, user stories, backlog prioritization, sprint planning, demos, retrospectives, prioritization discussions, risk awareness, or delivery metrics
  • Preferred exposure to customer research, design thinking, user-centered design, usability testing, journey mapping, product experimentation, launch measurement, post-launch learning, or accessibility practices
  • Preferred familiarity with APIs, platform products, data flows, system integrations, SDLC practices, implementation considerations, change management, or release management
  • Preferred experience using customer insights, dashboards, KPIs, experimentation, product metrics, operational insights, or quantitative and qualitative evidence
  • Preferred experience with Jira, Confluence, Figma, Miro, Excel, PowerPoint, Tableau, Power BI, or similar platforms
Core Competencies

Demonstrates strong analytical and problem-solving skills, with the ability to interpret data and develop clear recommendations. Proficient in collaborating with cross-functional teams and effectively communicating product insights and decisions to diverse audiences.

Highest-signal resume keywords
  • Bachelor's Or Master's Degree
  • Product Management
  • Data-Informed Decision-Making
  • Agile Methodologies
  • Customer Research
Hard Skills
  • Analytical Skills
  • Problem-Solving
  • Data Interpretation
  • User Research
  • Usability Testing
  • Product Metrics
  • KPI Development
  • Hypothesis Development
  • Acceptance Criteria Definition
  • Solution Concept Documentation
Soft Skills
  • Strong Communication Skills
  • Collaboration
  • Customer Focus
  • Leadership
  • Organizational Skills
Industry Keywords
  • Digital Products
  • AI-Enabled Products
  • User-Centered Design
  • Design Thinking
  • Product Roadmaps
Tools & Technologies
  • Jira
  • Confluence
  • Figma
  • Miro
  • Excel
  • PowerPoint
  • Tableau
  • Power BI
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