Staff Product Manager - Referral, Growth
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AI Summary
Lead the vision, strategy, and roadmap for Fetch's referral growth engine to increase Monthly Active Users (MAU). Own the end-to-end referral lifecycle, designing scalable loops and incentive systems using AI and behavioral data.
About the Role:
Fetch's vision is to become a daily rewards platform for 1 in 10 Americans, and we're seeking a self-driven Staff Product Manager – Referral Growth to lead the vision, strategy, and roadmap for building Fetch's referral growth engine—creating delightful, scalable referral experiences that generate durable network effects and accelerate progress toward our North Star metric of Monthly Active Users (MAU). You'll reimagine referrals as more than a one-time acquisition channel by building loops directly into the user experience, creating products that make sharing Fetch rewarding, habitual, and embedded throughout the customer journey.
This role will own the end-to-end referral lifecycle—from invitation and conversion through onboarding, activation, re-engagement, and long-term advocacy. You'll build the systems, incentives, experimentation framework, and product capabilities that power Fetch's referral growth engine, while surfacing features that turn satisfied users into advocates, advocates into ambassadors, and ambassadors into a self-sustaining community that fuels Fetch's long-term growth. Working across Product, Engineering, Design, Data Science, Marketing, Consumer Insights, User Research, and Lifecycle Marketing, you'll identify opportunities where social behaviors, AI-powered personalization, and community experiences can amplify organic growth. Success in this role requires a deep understanding of consumer psychology, incentive design, behavioral economics and growth loops to create experiences that compound over time.
At Fetch, we believe that earning rewards should be fun, playful, and add value to our users' lives every day. We're looking for a product leader who shares this mindset—someone who can transform referrals into engaging, community-driven experiences that feel natural, rewarding, and exciting while helping millions of users discover Fetch through the people they trust most.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
What you’ll do at Fetch (Role 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.
In your Toolbox (Minimum 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.
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