Senior Product Manager

New
I
IdealsB2B SaaS
This role is open to candidates based in Ukraine, Portugal, Poland, the Czech Republic, or Serbia.Full-TimeSenior
Salary not disclosed
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Job Details

Languages
English proficiency (C1 level)
Experience
3+ years of product management experience
Required Skills
Data AnalysisProduct Management

Requirements

  • Have 3+ years of product management experience, ideally in B2B SaaS or enterprise environments.
  • Have experience across the full product lifecycle, from discovery through go-to-market and post-release activities.
  • Use customer insights and data to inform product decisions.
  • Be able to translate industry and market trends into product strategies.
  • Have experience working on technically complex features or workflows and collaborating closely with engineering teams.
  • Use AI tools such as ChatGPT or similar in daily product work.
  • Have strong ownership and the ability to work independently and drive outcomes.
  • Have English proficiency at C1 level.
  • Nice to have: experience building or owning AI-powered features, such as LLM integrations or AI-assisted insights.
  • Nice to have: understanding of M&A, fundraising, and other financial operations.

Responsibilities

  • Define and execute product strategy for M&A advisors within the Virtual Data Room and adjacent areas.
  • Identify, test, and scale opportunities that improve product-market fit, engagement, loyalty, and repeat usage.
  • Conduct structured discovery using interviews, surveys, behavioral analytics, support and feedback analysis, market research, data analysis, and experimentation.
  • Prioritize opportunities based on user reach, impact, ROI, technical feasibility, and business risk.
  • Define product requirements through interactive prototypes, PRDs, and user stories with detailed acceptance criteria.
  • Collaborate with engineers, designers, UX writers, and data analysts to deliver product solutions.
  • Contribute to go-to-market strategy and work with marketing on launch plans, positioning, and messaging.
  • Measure post-launch success and iterate based on data and feedback.
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