Head of Growth Product, B2B2C

Role  

We are seeking a 10xer to lead our growth product efforts for maximizing our member acquisition and enrollment funnels. The ideal candidate is a high-velocity and analytical systems thinker who has deep expertise with building high performing conversion funnels. This is a role for a strategic thinker and a doer: someone who can see the big picture but isn't afraid to get their hands dirty building and executing.

This is a hands-on role. You'll manage two PMs and still write specs, analyze data, and ship experiments yourself. If you only want to be a people manager and want to operate through others, this isn't it.

This isn't a "maintenance" role; you will be the primary person accountable for step level improving all of our efforts on member growth through the funnel. You will own the entire funnel from landing pages through enrollment finished for our members. You are accountable for maximizing member acquisition and enrollment conversion.

Team 

The Growth team is responsible for maximizing member growth across all solutions within Sword.

What you'll be doing:

• The full member funnel. Landing pages, eligibility checks, registration, enrollment. You own the systems and the conversion metric through member enrollment.
• The experimentation system, roadmap and decisions to drive results. You decide what we test, in what order, and what we do with the result.
• Build systems that increase operational leverage. Client-specific requests, maintenance, new launches and new initiatives consume team capacity. You'll find what's repeatable, productize it into configuration instead of custom work, and use AI to automate the rest. 

What you need to have: 

• 10+ years in product management building consumer-facing products or B2B2C platforms, including 4+ years managing PMs and Senior PMs.
• Strong consumer product mindset with proven CRO track record. Deep understanding of consumer behavior, friction, and motivation, with experience building intuitive journeys
• Deep expertise from acquisition through activation — landing page experimentation through to activated members, not just top-of-funnel. Come ready to walk through funnels you owned, the tests you ran, and the conversion rates before and after.
• Ownership at scale. You've driven significant decisions and can engage deeply on data, experimentation, and technical tradeoffs. You work well with engineers because you understand what you're asking for.
• Customer and data obsessed. Combines funnel data, user insights, and experimentation to understand behavior and improve the member experience and business results.
• Highly analytical. You can conduct your own analysis, size opportunities before building, and can tell a real result from noise.
• AI-Forward: You use AI tools to increase your personal and team output. You understand the difference between "adding a chatbot" and building an AI-driven growth ecosystem.
• Bias for action: Thrives in ambiguity, makes decisions fast, and validates assumptions early. Proven ability to thrive in ambiguity, adapting quickly to changing priorities while maintaining high quality standards. 
• Systems thinker. You look at a problem and see the mechanism producing it, not just the symptom.
• Strong opinions, held with evidence — and willing to be wrong in public.
• Outcome orientation: Relentless focus on metrics and results.
• Exceptional written communication. Our teams are globally distributed and async-first; if your thinking only lands in a live meeting, it won't scale here. Strong project management and a bias for urgency.
• Cross-functional leadership. Proven ability to align Business units, Engineering, Client-facing teams, Design, Data, and Growth around shared funnel outcomes.
• User-first mindset: Ability to translate complexity into simple, intuitive, and cohesive user experiences.
• Bachelor's degree in a relevant field.

Preferred qualifications

• Experience in digital health or consumer health products.
• B2B2C, benefits, insurance, or fintech — anywhere the buyer and the user are different people.
• Experience with eligibility, identity matching, or enrollment systems.
• A/B testing and experimentation at scale, including the infrastructure behind it.
• Familiarity with AI/ML applied to personalization, recommendations, or behavior change.