Product Manager, Customer Acquisition

Group 1001 is a consumer-centric, technology-driven family of insurance companies focused on delivering value and operational performance. The Product Manager for Customer Acquisition will own the product experience that drives customer acquisition for a mobile-first annuity business, collaborating with various teams to optimize user experiences and drive growth.

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
• Partner with Acquisition engineering to design and implement experimentation frameworks (feature flags, A/B testing, multi-armed bandits) and robust analytics pipelines
• Define precise user stories and acceptance criteria that cover edge cases like identity verification failures, incomplete applications, and cross-device journeys
• Work through technical and architectural tradeoffs with engineers, especially around performance, reliability, and integrations with marketing tech stack (e.g., attribution, CDP, CRM) and third-party data providers
• Collaborate with design and engineering on rapid iteration cycles to test new funnel experiences, landing concepts, and conversion optimizations

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
• 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)