What You’ll Do | Key Accountabilities
- Own the strategy, roadmap, execution, and measurable outcomes for a product domain.
- Use customer research, analytics, experimentation, and business insight to identify and prioritize the highest-impact opportunities.
- Lead cross-functional discovery with Engineering and Design to define customer problems before developing solutions.
- Make thoughtful product decisions by balancing customer value, business impact, technical complexity, and delivery risk.
- Partner with Engineering throughout delivery, supporting release planning, experimentation, and post-launch measurement.
- Build alignment across stakeholders through clear communication, evidence based recommendations, and influence without direct authority.
- Continuously improve products through measurement, iteration, and learning.
- Leverage AI throughout the product lifecycle to improve research, planning, analysis, and execution while maintaining full accountability for every product decision.
What You’ll Bring | Skills & Experience
- 8+ years of product management experience delivering customer-facing digital products.
- Bachelor’s degree in business, marketing or another related field preferred.
- Demonstrated success leading products from discovery through measurable customer and business outcomes.
- Strong experience defining product strategy, prioritization, experimentation, and roadmaps.
- Excellent analytical, communication, and stakeholder management skills.
- Ability to navigate ambiguity, make sound product decisions, and influence cross-functional teams.
- Experience partnering closely with Engineering, Design, and business stakeholders throughout the product lifecycle.
- High degree of ownership, accountability, and bias toward action.
Preferred Qualifications
- Experience managing customer-facing e-commerce or omnichannel digital products.
- Experience with experimentation platforms and modern product analytics tools such as Heap, Google Analytics, Adobe Analytics, Amplitude, Mixpanel, or similar.
- Demonstrated curiosity for emerging AI technologies with hands-on experience using AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot, or similar) to prototype ideas, automate workflows, and build lightweight solutions.
- Experience integrating modern SaaS commerce technologies, including search, personalization, content management, payments, customer engagement, or related platforms.