Digital Product Manager

Digital Product Manager Job Description: Our client is looking for a Digital Product Manager to run the end-to-end digital experience on our DTC site. You'll sit at the intersection of data, design, and engineering, translating customer behavior and business goals into a high-converting, best-in-class ecommerce experience. This is a highly cross-functional role where you'll drive strategy, run structured experimentation, and ship product improvements at a fast pace. Roles and Responsibilities: Strategy & Roadmapping ● Define success metrics for all major product areas (PDP, cart, checkout, collection pages) and track performance against them ● Partner with brand, marketing, and retention teams to align product initiatives with broader campaign and growth strategy Experimentation & Optimization ● Manage the Conversion Rate Optimization (CRO) and A/B testing program end-to-end — hypothesis formation, test design, statistical validation, and post-launch analysis ● Develop a structured experimentation backlog using frameworks like RICE to score and sequence tests ● Synthesize quantitative signals (Amplitude, site analytics) with qualitative inputs (customer research, CX feedback) to identify high-impact opportunities ● Leverage AI tools to accelerate discovery, synthesize research, and pressure-test hypotheses Discovery & Delivery ● Own discovery for new features and integrations — from problem definition and user research through requirements, scoping, and handoff ● Write clear product specs and briefs that engineering and design can execute without ambiguity ● Drive sprint ceremonies and maintain a healthy, prioritized backlog Cross-Functional Collaboration ● Serve as the liaison between Engineering, Design, Marketing, CX, and Operations, surfacing blockers, driving alignment, and keeping work on track ● Communicate roadmap priorities and trade-offs clearly to leadership and stakeholders Quality & Operational Excellence ● Manage New Product Introduction (NPI) and sale launches ● Establish and maintain QA standards for site deployments, promotions, and third-party integrations ● Maintain the digital product knowledge base, documentation, SOPs, and post-mortems ● Own bug reporting and new feature intake requests Qualifications: Required ● 4–6 years of product management experience at an ecommerce, DTC, or consumer tech company ● Familiarity with Shopify and the DTC tech stack (Klaviyo, loyalty platforms, third-party app integrations) ● Demonstrated ability to own and ship product end-to-end, from discovery to post-launch measurement ● Strong experimentation instincts: comfortable designing tests, reading results, and making calls under uncertainty ● Proficiency with product analytics tools (Amplitude, GA4, or equivalent), able to self-serve data and build hypotheses independently ● Experience managing complex cross-functional projects with multiple stakeholders and competing priorities ● Clear, direct written and verbal communication, equally comfortable in a Figma file, a Slack thread, or a leadership readout ● Fluency with prompt engineering or building lightweight AI-powered workflows (Claude, ChatGPT, Perplexity, etc.) Nice to Have ● Experience with price testing or personalization platforms ● Exposure to UX research methods, usability testing, customer interviews, heuristic review ● Working knowledge of HTML/CSS or ability to read front-end code (not required to write it) ● Experience evaluating or deploying AI-native ecommerce features (semantic search, dynamic merchandising, LLM-powered chat/support)

4–6 years of product management at ecommerce, DTC, or consumer tech companies with proven end-to-end ownership from discovery through launch and a strong grasp of experimentation design and statistical validation.

Experience with price testing, personalization platforms, UX research methods, basic HTML/CSS literacy, and hands-on deployment of AI-native ecommerce features like semantic search or dynamic merchandising.

Shopify, Amplitude or GA4, Figma, Klaviyo, A/B testing platforms, and proficiency with AI tools like Claude, ChatGPT, or Perplexity for prompt engineering and workflow automation.