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Senior Product Manager

Skills
Software As A ServiceAnalytical SkillsArtificial IntelligenceBudgetingBusinessBusiness InsightsEngineering
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proven experience managing complex web-based SaaS products in fast-paced startup or scale-up environments
  • Excellent prioritisation skills balancing user needs commercial priorities technical feasibility and delivery constraints
  • Strong execution and delivery skills with experience shipping impactful products at pace
  • Comfortable operating hands-on within delivery-focused product roles not solely strategic product leadership positions
  • Strong technical fluency and confidence working closely with engineering teams
  • Ability to gather refine and communicate clear product requirements across technical and non-technical stakeholders
  • Comfortable working within ambiguity evolving priorities and complex or legacy product environments
  • Strong product judgement and critical thinking skills with confidence to challenge assumptions and make pragmatic decisions
  • Experience collaborating closely with engineers and designers in lean cross-functional teams
  • Proactive and highly collaborative with strong stakeholder management and communication skills
  • Strong analytical skills using quantitative and qualitative insights to inform decisions and prioritisation
  • Comfortable creating wireframes user flows and lightweight UX concepts where needed
  • Experience leveraging AI tools and workflows to improve product discovery delivery or team efficiency
  • Understanding of AI fundamentals and responsible AI product development principles
  • Adaptable curious and comfortable moving between strategic thinking and detailed execution work
  • Experience working with agile product development methodologies in remote or distributed teams

Nice to have

  • HR Tech experience
  • ATS familiarity
  • AI-assisted prototyping
  • Legacy product experience

Day to day

  • Own a key AI product area and balance strategy with day-to-day execution
  • Work closely with AI/ML, Occupational Psychology, Engineering, Commercial, Design, Data Science, and Operations teams to shape hiring products
  • Drive product delivery from discovery through launch by resolving blockers and translating needs into clear requirements
  • Use research and data to prioritise the backlog, measure success, and improve product performance in a fast-moving SaaS environment