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Associate Growth Product Manager

$72k - $112k

Formula

Formula is an AI-native growth agency helping D2C health and e-commerce brands build, test, and optimize high-converting growth funnels. We work across onsite conversion and lifecycle marketing: from strategy and design through implementation, experimentation, and measurement, to help brands improve how they acquire, convert, and retain customers. Formula is a small, venture-funded startup growing quickly alongside our clients and team. As we grow, we’re staying AI-native by default, using AI to give a small team the leverage to accomplish what traditionally requires a much larger organization. People remain at the center of the work, bringing the judgment, creativity, and ownership that turn that leverage into meaningful results. The Role We’re looking for an Associate Growth Product Manager to help identify growth opportunities for Formula and our clients and turn them into structured, measurable experiments. You’ll work across the full experiment lifecycle, from identifying an opportunity and developing a hypothesis through building, launching, analyzing results, and recommending what to do next. You’ll work closely with clients, account managers, designers, and engineers while gradually taking ownership of experiments and client workstreams. Because we’re a small team, you’ll have meaningful responsibility early and be expected to ask questions, make thoughtful decisions, and keep work moving when the path isn’t perfectly defined. This role is a strong fit for someone who is analytical, communicates clearly, learns quickly, and enjoys turning ambiguous problems into action. Prior product management experience is helpful but not required. We care more about how you think, what you’ve built or accomplished, and your ability to learn and execute with AI. What You'll Own Experiment strategy: Identify growth opportunities and turn them into clear hypotheses and experiment specs defining what we’re testing, why, for whom, and how we’ll measure success. Build & launch: Use Formula’s tools and AI agents to help create and launch landing pages, variants, lifecycle campaigns, and other growth experiments. Analysis & recommendations: Analyze experiment performance, understand what the data does and doesn’t support, and translate results into clear recommendations and next steps. Experiment roadmaps: Manage experiment backlogs and priorities across client accounts, keeping work moving from idea through launch, measurement, and follow-up. Client & team collaboration: Communicate clearly with clients and collaborate with account managers, designers, engineers, and other team members to turn insights into action. Continuous improvement: Learn from each experiment and use those insights to improve future tests, processes, and client strategy. What We’re Looking For Analytical thinking: You’re comfortable working with data, interpreting results, and using evidence to make decisions. Clear communication: You can explain your thinking clearly in writing and turn analysis into actionable recommendations. High ownership: You’ve shipped meaningful work, take responsibility from idea through result, and consistently follow through. Fast learning: You’re curious, resourceful, and able to quickly understand unfamiliar tools, problems, and industries. AI fluency: You actively use AI tools to improve the quality and speed of your work. Relevant experience: Experience with DTC/e-commerce, growth, experimentation, lifecycle marketing, Shopify, Klaviyo, GA4, SQL/data analysis, design, or client-facing work is valuable. We don’t expect you to have experience in all of them. Compensation & Location Compensation: $72,000–$112,000 USD base + equity, depending on experience and qualifications. Location: Remote within U.S, with a preference for candidates based in or near New York City. Employment: Full-time. This is an opportunity to join Formula at an early stage. If you’re excited to learn quickly, take meaningful ownership, and use AI to build and measure growth experiments from the ground up, we’d love to hear from you. #J-18808-Ljbffr Formula

Vacancy posted 4 days ago
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