Senior Remote D2C Ecommerce Product Manager

Therabody; Los Angeles (CA); On-site; USD 120,000 - 130,000; Full time

Job summary

Therabody is seeking an experienced Sr Product Manager for its direct-to-consumer web storefront and ecommerce tech stack. You will own the roadmap for the shopping experience, partnering with UX/UI, engineering, marketing, analytics, and sales to launch features that move the business.

A/B testing and data-driven experiments will define success and inform product decisions. You will help ensure AI-driven discovery, agentic shopping, and accurate product representation across channels, while

Qualifications

• 5+ years of software product management experience with an emphasis on web and eCommerce.
• Proven track record of launching features that drive revenue growth and improve shopping experiences.
• Deep understanding of A/B testing best practices, measuring results to KPIs, and reporting complex results to non-technical stakeholders.
• Excellent analytical and problem-solving skills.
• Comfortable operating in a fast-paced, global D2C environment.
• Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams.
• Experience with data analysis, and user research to form hypotheses and gain early signals fast.
• Passion for using data to uncover unmet needs and define the best solution for our consumers.
• Experience working with Agile methodologies and geographically diverse engineering and design teams.
• Knowledge of the latest trends and technologies in eCommerce.
• Knowledge of AEO/GEO and how AI assistants and answer engines surface, cite, and recommend brands and products.
• Familiarity with agentic commerce developments, such as agent-driven checkout protocols and structured product data standards.
• Genuine interest in AI: you use AI tools in your daily work and actively experiment with how they are changing consumer shopping behavior.

Responsibilities

• Develop and maintain a prioritized roadmap that aligns with overall business objectives and delivers a constantly improving customer experience.
• Collaborate with design, marketing, and engineering teams to generate hypotheses for product enhancements that drive revenue growth and sales.
• Lead the execution and evaluation of A/B tests to prove your hypotheses and measure outcomes, while always striving for continuous iterative and incremental improvements.
• Establish and maintain best practices for flexible content management while ensuring a consistent shopping experience for customers.
• Take a proactive approach to managing your product area, continually assessing both growth performance and team operations, and identifying opportunities for improvement in a fast-paced D2C environment.
• Obsess over KPIs to ensure the website meets and exceeds business goals.
• Partner closely with Operations, Business Applications, and Sales teams to identify and implement features that support other growth channels and improve sell-through products.
• Own Answer Engine Optimization (AEO) for the website, ensuring Therabody products and content are discoverable, accurately represented, and cited by AI assistants and answer engines such as ChatGPT and Google AI Overviews.
• Prepare the shopping experience for agentic commerce, including structured product data, feeds, and emerging agent-to-merchant checkout protocols.
• Apply AI tools across research, analysis, and experimentation workflows to increase the speed and quality of product decisions.

Skills

Web & ecommerce product mgmt

A/B testing & KPIs

Data analysis & user research

Agile methodologies

Cross-functional collaboration

AI awareness in product

Agentic commerce knowledge

Tools

AEO/GEO familiarity

Job description

Therabody is seeking an experienced Sr Product Manager for its direct-to-consumer web storefront and ecommerce tech stack. You will own the roadmap for the shopping experience, partnering with UX/UI, engineering, marketing, analytics, and sales to launch features that move the business.

A/B testing and data-driven experiments will define success and inform product decisions. You will help ensure AI-driven discovery, agentic shopping, and accurate product representation across channels, while