Get to know us
Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours.
Ideals Virtual Data Room (VDR): Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions.
Ideals Board: Board and leadership collaboration platform for faster, safer, and more compliant decision-making.
The role
As a Senior Product Manager for our Virtual Data Room (VDR), you’ll be responsible for improving the experience of M&A advisors and investment bankers, a strategically important audience with a major impact on deal activity, platform adoption, and long-term business growth.
By deeply understanding M&A advisors’ needs, friction points, and growth opportunities, you will turn discovery insights into scalable new features or completely new products that increase engagement, strengthen loyalty, and drive repeatable business impact.
Working closely with engineering, design, data, marketing, and client-facing teams, you will help shape a product experience that delivers greater value for M&A advisors and supports the continued growth of this audience.
This role is open to candidates based in Ukraine, Portugal, or Poland.
What you will do
Define and execute the product strategy for M&A advisors inside the VDR and on adjacent areas, ensuring alignment with the overall product strategy and company vision
Continuously identify, test, and scale high-impact opportunities that strengthen product-market fit and increase stickiness, loyalty, and repeat product usage among M&A advisors
Proactively uncover new product opportunities through structured discovery, leveraging user interviews, surveys, behavioral analytics, support and feedback analysis, market and competitor research, data deep-dives, experimentation, and close collaboration with stakeholders
Prioritize opportunities and solutions based on user reach, impact, ROI, technical feasibility, and business risk, while maintaining a balanced roadmap that spans innovation, optimization, technical excellence, and cross-functional initiatives
Define and communicate product requirements through interactive prototypes, well-structured PRDs, and user stories with detailed acceptance criteria
Collaborate with engineers, designers, UX writers, and data analysts within cross-functional product teams to co-create and deliver scalable, high-quality solutions
Contribute to GTM strategy and work with the marketing team to develop launch plans, positioning, and messaging that drive product adoption and market success
Measure success post-launch and iterate based on data and feedback
What you bring
3+ years of product management experience, ideally in B2B SaaS or enterprise environments
Strong ownership mindset with the ability to work independently and drive outcomes
Proven experience across the full product lifecycle – from discovery to go-to-market and post-release activities
Skilled in using both customer insights and data to inform product decisions
Ability to turn industry and market trends into clear product strategies
Passion for delivering intuitive, user-friendly, and impactful experiences
Hands-on use of AI tools (e.g., ChatGPT or similar) in daily product work to multiply output and reduce time spent on research, documentation, data analysis, and routine tasks
Experience working on technically complex features or workflows and collaborating closely with engineering teams
Excellent collaboration, communication, and English proficiency (C1 level)
Nice to have
Experience building or owning AI-powered features (e.g., LLM integrations, AI-assisted insights generation, chat with data, etc.)
Understanding of M&A, fundraising, and other financial operations
Our assessment process
Screening call with the Talent Acquisition Specialist (~55 mins)
Product management expertise and problem discovery interview with the Group Product Manager (90-120 min)
Home task: hypotheses preparation (2–4 hours effort, 1–2 days turnaround)
Product strategy interview with the Director of Engineering and VP of Product Management (60 min)
Competency-based interview with the Talent Acquisition Specialist (90 mins)
