Product Manager, Applications & Services

Comfrt•, (Multiple States)

1d•Remote

About The Position

Comfrt is building premium e-commerce and wellness experiences that drive engagement, loyalty, and customer satisfaction. Our Storefront is a modern, headless Shopify-powered platform serving customers seeking wellness and lifestyle products. We move quickly, iterate often, and care deeply about craft and conversion. If you've wanted to strategize and lead product development that scales operations, modernizes our architecture, and empowers our teams, this is that role. We're seeking a highly technical and strategic Product Manager to own our applications, automation workflows, data platforms, and backend services. You will set the vision for how Comfrt operates under the hood—spearheading AI adoption, optimizing business processes, and shaping our data engineering roadmap. Unlike customer-facing roles, your "customers" are our internal teams. You will partner closely with engineering to transition toward microservices architectures, build out robust data pipelines, and deploy automations that eliminate manual work. This is a high-impact role dedicated to building the scalable, intelligent infrastructure that powers a fast-growing e-commerce brand.

Requirements

3+ years of Product Management experience, with a strong focus on SaaS, internal tools, platform products, data engineering, or backend systems.
Deep technical fluency; comfortable navigating discussions around UI/UX, microservices, APIs, database architectures, and data pipelines (ETL/ELT).
Proven experience driving automation initiatives and evaluating/implementing AI tools to solve operational bottlenecks.
Exceptional analytical skills with the ability to translate complex business processes into streamlined technical workflows.
Strong stakeholder management skills, capable of aligning engineering teams, operations, and leadership on technical roadmaps.
Hands-on experience operating within Agile/Scrum environments.

Nice To Haves

Background in data engineering, backend software development, or systems architecture before transitioning to product management.
Experience working with cloud platforms (AWS, GCP) and modern data stack tools (e.g., Snowflake, dbt, Fivetran).
Familiarity with e-commerce back-office operations (inventory management, ERPs, order routing).

Responsibilities

Own the product vision and roadmap for internal tooling, automation initiatives, and back-office applications.
Lead the company's AI adoption strategy, identifying opportunities to integrate LLMs, machine learning, and intelligent automations to streamline workflows.
Manage the full lifecycle of multiple full-stack applications, balancing the needs of internal operational tools with external customer-facing services.
Coordinate cross-functional efforts to ensure performance, scalability, and security across both internal and external application ecosystems.
Define and manage the data engineering roadmap, partnering with data engineers to build robust pipelines, modern data warehousing solutions, and analytics infrastructure.
Collaborate with engineering leadership to guide the transition toward a microservices architecture, ensuring internal services are scalable, decoupled, and highly performant.
Write clear, technically sound Product Requirements Documents (PRDs), manage backlogs, and run agile sprints with backend and data engineering teams.
Establish success metrics for internal products, focusing on operational efficiency, processing times, automation success rates, and data reliability.