Senior Product Manager

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Data decides, not egos Courageous: We take risks and challenge the status quo Innovative: We're constantly learning, creating, and adapting Lean: We focus on customers, using lean testing to learn how to serve them best Humble: Past success is not a guarantee of future success About the Role As a Product Manager for Customer Acquisition, you'll craft customer-focused products that fuel growth. You'll identify new segments, shape product strategies, and own the roadmap for our brand portfolio, including marketing tools, landing pages, and checkout experiences. This cross-functional role involves close collaboration with teams to meet ambitious goals. Using lean methodologies, A/B testing, and agile practices, you'll lead the ideation, development, and launch of impactful features that enhance the customer journey on desktop and mobile. What You’ll Do You'll be the go-to person for identifying and solving pain points across our marketing teams and customer journey, and you won't just guess, you'll test it all through A/B experiments like a pro. Lead the charge with UX, Analytics, and Engineering to turn sprint planning into sprint winning. Align teams, cut through the noise, and keep everyone rowing in the same direction (yes, you’re that person). Partner closely with Marketing to ensure product and marketing strategies are best friends, not distant cousins. Simplify acquisition workflows, build smart tools, and make “efficiency” more than just a buzzword. Dive deep into the data, spot the growth levers, and bring insights that actually move the needle. Ideate, pitch, and power growth strategies with real business impact. AI-Generated Content: Use generative AI tools to test ad copy, page messaging, and creative assets. AI Collaboration: Work closely with engineering on AI/ML-powered features and translate insights into product decisions. What We’re Looking For Overall professional experience of 5+ years is required 4+ years of experience in product management across B2B and B2C products. Possesses hands-on expertise in experimentation methodologies, including A/B testing and multivariate analysis, to drive data-informed decision-making. Experience syncing up with both Paid and Organic Marketing teams — you know how to speak their language. Demonstrates a strong ability to identify inefficiencies and proactively implement automation-driven solutions to improve processes and outcomes. Brings a collaborative mindset with a deep appreciation for partnering with UX and Analytics teams to solve meaningful customer problems. Exhibits inspiring leadership, effectively aligning and motivating cross-functional teams toward ambitious, high-impact goals. Leverage generative AI tools to test and optimize ad copy, page messaging, and creative assets, while collaborating closely with engineering teams on AI/ML-powered features to translate insights into effective product decisions. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy . #LI-Remote