Product Manager, Customer Acquisition

Group 1001 is a consumer-centric, technology-driven family of insurance companies focused on delivering outstanding value through innovative financial products. The Product Manager for Customer Acquisition will own the product experience that drives customer acquisition, utilizing data analysis and collaboration with various teams to optimize conversion and enhance user experience.

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)