Own the product vision, strategy, and roadmap, working closely with the CEO to translate vision into product strategy and lead end-to-end execution across Product (and Design).
Define product requirements, success metrics, and criteria that drive quality, performance, and scalability, including clear instrumentation and data standards to ensure reliable measurement.
Build and implement a clear prioritization and decision-making framework through structured tradeoffs (impact, platform complexity, and time-to-value), leveraging real-time, data-driven insights in partnership with engineering and analytics.
Establish KPIs to measure product performance, adoption, retention, and revenue contribution, owning the underlying analytics, data definitions, and governance that support them.
Shift the organization from solution-led thinking to problem-led thinking.
Establish systems to turn ideas into clear problem statements and well-defined product opportunities.
Create a scalable product development process that increases speed and quality, including a rigorous test-and-learn culture with continuous experimentation and iteration.
Ensure engineering consistently receives high-quality, actionable product requirements, supported by structured data, clear hypotheses, and measurable success criteria.
Lead, mentor, and scale a high-performing Product team, developing PMs across all levels while building a strong Product organization and championing innovation, accountability, and continuous improvement.
Partner closely with Engineering, Customer Success, and internal teams to drive outcomes.
Identify and eliminate manual workflows through product and automation.
Own budget, forecasting, resourcing, and ROI trade-offs to maximize impact, with closed-loop measurement systems that track initiatives from hypothesis through execution and quantify impact on revenue, adoption, and retention.
Embed data into product decisions, especially around marketplace performance and revenue impact, by building and leading the product analytics and data science function.
Drive adoption of modern AI tools and workflows across product development.
Requirements
8+ years of product management experience, with at least 3-4+ years in a senior leadership role
Experience with a marketplace or two-sided platforms (strongly preferred)
Proven track record of delivering measurable outcomes, including impact on revenue growth, retention, adoption, and operational efficiency
Experience building and scaling data-driven product organizations, including defining metrics, instrumentation, and experimentation frameworks (A/B testing, champion–challenger) to drive decisions
Demonstrated success using analytics to inform prioritization and validate product investments, with clear examples of quantifiable business impact
Exceptional product judgment and prioritization skills
Demonstrated ability to turn loosely defined ideas into clear problem statements and scalable solutions
Excellent communicator who can align teams around clear priorities and decisions
Ability to translate user needs into technical requirements
Lead effectively across cross-functional teams, particularly Engineering, while balancing multiple projects and driving alignment across competing priorities
Deep familiarity with modern AI product tools and a clear point of view on how AI should shape product development and operations
Experience building or leveraging AI-enabled systems to increase team velocity and output
Benefits
Competitive Compensation
Medical, Dental, and Vision insurance
Flexible Time Off (FTO), sick time, and paid holidays
4% 401(k) match
Employee stock options
Opportunities for growth & leadership in a fast-growing company