Product Manager, Customer Acquisition

Group 1001

3d • $165,000 - $210,000 • Remote

About The Position

This role owns the product experience that powers customer acquisition for a mobile-first, direct-to-consumer annuity business. From first ad click through account creation and funding, this Product Manager is responsible for building and optimizing the surfaces, flows, and systems that convert intent into trust and action. Along with understanding the customer experience, this is a highly data-heavy role. The Product Manager will partner with a dedicated Acquisition engineering squad, as well as Marketing, Operations, and Strategy, to drive efficient, scalable growth while ensuring the experience remains compliant, transparent, and customer-centric.

Requirements

• 4+ years of product leadership experience, specifically as a Growth PM or in roles with direct ownership of funnel optimization and acquisition.
• Data-driven decision maker with a track record of using evidence (A/B tests, attribution data, cohort analysis, LTV/CAC modeling) to guide every priority.
• Strong preference for a professional background as a Data Analyst or hands-on experience with data querying, comfortable validating hypotheses, and building analytics tooling.
• Ability to turn abstract complexity (risk checks, regulations, pricing, eligibility rules) into simple, intuitive flows that convert well without sacrificing compliance or trust.
• Skilled at prioritizing tradeoffs between immediate growth, customer experience, compliance, and long-term brand equity, and aligning teams on those decisions.
• Strong communicator who can articulate strategies, tradeoffs, and experiment results to Marketing, Engineering, Finance, and Executive stakeholders.
• Proven ownership mindset with the ability to independently chart strategy, execute, and iterate quickly in a dynamic environment.
• Go-to-market leader with experience partnering with Marketing to plan and execute launches, positioning, and lifecycle programs that scale and sustain product adoption.
• Regular user of AI tools to accelerate analysis, ideation, and execution while applying strong judgment in a regulated domain.

Nice To Haves

• Fintech or Insurtech experience in high-growth, performance-marketing-heavy environments.
• Background as a Data Analyst or Data Scientist.
• Startup or high-growth background, especially in performance-marketing-heavy businesses.
• Experience in another function (e.g., engineering, design, data science, growth marketing) that informs cross-functional collaboration.
• Experience defining and leveraging AI/ML for growth-related use cases (e.g., propensity modeling, audience segmentation, creative or landing page optimization).

Responsibilities

• Define and execute the end-to-end growth strategy for acquisition-related experiences, including landing pages, onboarding flows, Know Your Customer (KYC) journeys, and pre-funding education.
• Own the acquisition product roadmap, prioritizing work based on rigorous data analysis to improve conversion and lower acquisition cost.
• Conduct deep-funnel analysis (impressions → click → registration → application → funding) to identify bottlenecks, set targets, and drive experimentation.
• Develop and refine granular growth metrics (e.g., CVR, CAC, payback period, drop-off by step, quality of acquired cohorts) with robust instrumentation and reporting.
• Partner with Marketing on top-of-funnel acquisition strategies and lifecycle marketing programs to optimize customer journey touchpoints.
• Engage with customers via video, email, and in-person sessions (approximately 10% travel) to understand trust drivers, balancing these qualitative insights with quantitative data trends.
• Collaborate with Operations and Compliance teams to build acquisition flows that are both friction-light and robust in terms of regulatory and fraud requirements.
• Become the expert and point of contact for all acquisition-related product questions, feedback, and requests across the organization and with key external partners.
• Write clear, concise PRDs and experiment briefs, including hypotheses, test design, sample size considerations, and success metrics, that both technical and non-technical stakeholders can act on.
• Use AI tools to speed up research synthesis, experiment analysis, and asset iteration while maintaining rigorous standards for data quality and regulatory sensitivity.

Benefits

• Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001’s benefits package.
• Employees (and their families) are eligible to participate in the Company’s comprehensive health, dental, and vision insurance plan options.
• Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability.
• All employees (regardless of hours worked) have immediate access to the Company’s Employee Assistance Program and wellness programs—no enrollment is required.
• Employees may also participate in the Company’s 401K plan, with matching contributions by the Company.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed