Responsibilities
- Set the vision, strategy, and roadmap for building Fetch's referral growth engine, defining priorities, success metrics, and OKRs that align with company growth goals and our North Star of MAU.
- Design referral loops and sharing experiences that create compounding network effects across acquisition, activation, engagement, and retention.
- Own the end-to-end referral lifecycle engine, including invitations, rewards, onboarding, activation, advocacy, re-engagement, and lifecycle optimization.
- Build the product capabilities, incentive systems, and experimentation framework that enable Fetch's referral growth engine to scale efficiently over time.
- Leverage AI and machine learning to personalize referral experiences, optimize incentive structures, and unlock new opportunities for organic growth.
- Lead complex cross-functional initiatives across Product, Engineering, Design, Data Science, Marketing, Lifecycle Marketing, Research, and business teams, creating alignment through clear communication of strategy, progress, and measurable outcomes.
- Serve as the product leader for referral growth metrics, using qualitative insights, behavioral data, experimentation, and product intuition to identify and prioritize high-impact growth opportunities.
- Develop and execute an experimentation strategy around referral incentives, sharing mechanics, social proof, AI-driven personalization, lifecycle messaging, and community engagement.
- Partner closely with Lifecycle Marketing to orchestrate personalized referral journeys across owned channels and maximize referral conversion, activation, and long-term retention.
- Define and monitor key referral health metrics, including invite rate, referral conversion, viral coefficient, referral activation, retention of referred users, cost per referred acquisition, and overall contribution to MAU growth.
- Maintain a deep understanding of Fetch users, consumer behavior, partner dynamics, competitive referral programs, emerging AI capabilities, and industry growth trends.
- Take ownership of outcomes, proactively remove roadblocks, and operate with a high degree of accountability in a fast-paced environment.
Requirements
- 5+ years of product management experience, including meaningful experience building consumer growth, referral, marketplace, social, or network-effect products.
- Proven track record designing, launching, measuring, and scaling referral programs, viral loops, user advocacy systems, or consumer growth products that drive measurable business outcomes.
- Deep understanding of growth loops, behavioral economics, incentive design, lifecycle marketing, experimentation frameworks, funnel optimization, and retention models.
- Experience leveraging AI-driven products, personalization, or data science to create more intelligent and effective consumer experiences.
- Strong analytical fluency, with the ability to interpret user behavior, define success metrics, evaluate tradeoffs, and make data-informed decisions through experimentation.
- Demonstrated success leading complex cross-functional initiatives and aligning diverse teams around a clear product strategy.
- Excellent communication, stakeholder management, and influencing skills, including experience partnering with senior leadership.
- Strong product judgment, balancing user needs, business goals, technical constraints, and speed of execution.
- Comfort operating in ambiguity, creating structure where none exists, and defining new product spaces.
- Demonstrated ability to lead through influence, raise the bar for product quality, and mentor or guide other product managers.
- Strong ownership mindset with a bias for action and a willingness to dive into the details to deliver exceptional user experiences.
Compensation
Base salary range: $181,913 - $214,015. Competitive compensation packages including base, equity, and benefits.