Director, Consumer Product Management
Lead the end-to-end consumer growth system for Upside's hypergrowth app, owning conversion, retention, cross-sell, multi-category adoption, and habit formation. Manage a team of PMs, drive high-polish product decisions, and set strategy grounded in data and marketplace economics. Requires 10+ years PM experience and leadership of 5-10 PMs.
About the job
What you'll do
- Own the consumer growth system — conversion, retention, cross-sell, and user-to-user growth over paid media
- Set and evolve consumer growth strategy, grounded in data, consumer insight, and rigorous prioritization
- Own the product decisions that drive quality, polish, reliability, and trust across the app
- Drive multi-category adoption — turning single-category users into engaged users across gas, grocery, and restaurant
- Build habit formation and frequency into the core product; balance supply/demand and unit economics
- Lead and grow a team of consumer PMs; scale the team with an AI-centric approach
- Partner with Design, Data, and Marketing to turn consumer insight into measurable product bets
Competencies you'll need
- Track record owning consumer app growth through a hypergrowth curve, including the full growth system (conversion, retention, cross-sell, organic growth)
- Strong product judgment — high-quality, high-polish consumer experiences and disciplined prioritization
- Deep consumer app expertise; secondary marketplace expertise (supply/demand, unit economics)
- Experience building habit-forming products and driving adoption across multiple use cases or product lines
- AI-centric approach to scaling product management
- Experience leading a team of PMs (5-10) and growing PM talent
- 10+ years PM experience; curious, hungry to grow, bias for progress over perfection
Nice to have's
- Fintech, marketplace, or transaction-driven product background
- Experience designing for trust and credibility as a conversion lever
- Exposure to payments or financial-experience product work
Compensation
The U.S. base salary range for this full-time position varies by work location:
- Tier 1: NYC $256,000 - $278,000
- Tier 2: Austin, Chicago, Washington, DC $233,000 - $253,000
In addition to base salary, this position is also eligible for equity and benefits.
Skills
Product Management, Consumer Growth, Conversion Optimization, User Retention, Cross-Sell, Marketplace Economics, Unit Economics, Habit Formation, AI Tools, Data Analysis, Consumer Insights, Prioritization, Team Leadership
Similar jobs
Product Management jobs
Lyft
New York, NYLeads Lyft’s Customer Care product portfolio, including AI-powered support, contact center platforms, self-service, and trust and safety experiences. The role manages product leaders, sets multi-year strategy, and partners with engineering, data science, and operations to deliver measurable customer and business outcomes.
ezCater
Boston, MA
Leads product strategy and team development for a delivery and fulfillment intelligence platform spanning forecasting, routing, risk intervention, and operational learning. Requires 10+ years of product management experience, logistics or marketplace expertise, production ML experience, and strong architectural and analytical judgment.
Censys
United StatesLeads the product strategy and product management organization for attack surface management and supply chain intelligence, translating complex cybersecurity and Internet-scale challenges into scalable enterprise solutions. Requires 10+ years of product management experience and substantial PM leadership experience.
Runpod
United States
Leads product vision, strategy, and execution for an AI cloud platform while building a product and design organization. Requires 7+ years of product management experience, cloud or AI/ML expertise, and at least 3 years managing product teams.
Formation Bio
New York, NYLeads the strategy and execution for scaling data science analyses into durable tools and capabilities for drug-asset acquisition and diligence. The role requires senior experience across data science or technical product, life sciences expertise, AI/ML fluency, and the ability to coordinate engineering and data science teams.