Senior Product Manager (EdTech & AI)

Constructor Labs; Polska; Hybrid; PLN 240,000 - 420,000; Full time

Benefits offered by this job

Equipment package

English classes

Flexible schedule

Newborn bonus

Patent remuneration

Paid leave

Remote work

Hybrid work

Job summary

Constructor Labs is seeking an experienced Product Manager to own a multi-year, outcome-based roadmap across SaaS/EdTech/AI products. You will lead market intelligence, drive international pricing strategies, and apply scientific methods to validate hypotheses with cross-functional teams.

The role requires 5+ years in product management, strong data-driven decision skills, and fluent English. You will mentor a growing PM team and collaborate with Engineering, Data Science, and Design to deliver

Qualifications

• 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products).
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field.
• Proven ability to manage products using complex data analysis and scientific research methodologies.
• Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven roadmaps.
• Strong track record of writing high-quality PRDs and managing sprints in an agile environment.
• Experience leading cross-functional stakeholders and directly mentoring other product managers.
• Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly.

Responsibilities

• Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics.
• Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve.
• Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV.
• Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization.
• Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy.
• Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards.
• Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs.

Skills

Product management

SaaS experience

EdTech/AI experience

Data analysis

Team mentoring

Cross-functional

Education

Bachelor’s or Master’s degree in Computer Science or Data Science

Job description

Our mission

Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.

With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.

Duties and Responsibilities:

• Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics.
• Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve.
• Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV.
• Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization.
• Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy.
• Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards.
• Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs.

Qualifications and Experience:

• 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products).
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field.
• Proven ability to manage products using complex data analysis and scientific research methodologies.
• Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps.
• Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment.
• Experience leading cross-functional stakeholders and directly mentoring other product managers.
• Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly.

Nice to Have:

• Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar).
• Experience in building and scaling AI/ML-powered products.
• Background in Science or experience with academic/research-focused software.
• Experience managing products with millions of users across multiple geographical regions.

What We Offer

• Choice of work equipment (e.g., laptop, monitor, etc.)
• English classes (iTalki – $130 monthly)
• Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET)
• Newborn bonus (€500 per child)
• Patent remuneration
• Paid leave
• Remote work in locations without our offices
• Hybrid work in locations with offices (2 days in-office, 3 days remote)

Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.