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)

Skills

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.