Remote | Product Owner — $120,000–$200,000/year

24-Mag•New York, NY

13h•Remote

About The Position

The Product Owner will own the lifecycle of customer-facing software products, from discovery and scoping through launch, measurement, and iteration. The role turns complex user and business problems into clear product requirements and executable releases, defines product direction while maintaining focus on practical delivery, and remains accountable for product outcomes throughout development and after launch. The position requires data-driven product management, including defining and tracking KPIs, adoption metrics, and product outcomes. Product usage data, customer insights, and feedback inform prioritisation, roadmap decisions, and ongoing product improvement. The Product Owner will build intuitive, high-quality experiences, simplify technically complex functionality, and balance execution speed with usability, consistency, and reliability. Working closely with engineering, data, business, and other stakeholders, the Product Owner will coordinate priorities, communicate decisions and trade-offs, and drive alignment without excessive process. The role operates in a fast-moving, ambiguous environment where product scope and priorities may change with customer needs, usage data, technical constraints, and business requirements. The opportunity is fully remote and is available through 24-MAG LLC, which connects professionals with remote consulting opportunities.

Requirements

Professional experience as a Product Owner, Product Manager, or in a similar role, with ownership of a live software product.
Demonstrated track record of building customer-facing technology products.
Strong product judgement and ability to simplify complex problems.
Experience using KPIs, usage data, customer feedback, and product insights to guide decisions.
High degree of ownership and comfort operating in fast-moving, ambiguous environments.
Strong written communication and stakeholder-management skills.

Nice To Haves

Experience with AI, data, developer tools, or technically sophisticated products is strongly preferred.
Technical fluency or an engineering background is highly advantageous.
Experience with AI/ML, LLMs, agents, data infrastructure, or analytics products is a strong plus.
Experience taking products from 0 to 1 and iterating based on real-world usage is highly valued.

Responsibilities

Own the product lifecycle from discovery and scoping through launch and iteration.
Translate complex user and business problems into clear product requirements and executable releases.
Define product direction while maintaining focus on practical delivery.
Coordinate priorities across engineering, data, and business stakeholders.
Maintain accountability for product outcomes during development and post-launch iteration.
Prioritise initiatives based on user needs, business impact, technical constraints, and available resources.
Break ambiguous problems into focused, achievable product scopes and make pragmatic trade-offs while maintaining product quality.
Drive execution in fast-moving environments with evolving requirements and keep teams aligned on high-impact priorities.
Define and track KPIs, adoption metrics, and product outcomes.
Use product usage data, customer insights, feedback, and quantitative and qualitative signals to guide prioritisation and iteration.
Evaluate whether launches achieve intended user and business outcomes and incorporate product performance into roadmap decisions.
Build intuitive, high-quality customer-facing products with a strong focus on usability and user experience.
Simplify technically complex functionality into clear product experiences.
Balance speed of execution with consistency, reliability, and product quality.
Partner closely with engineering throughout planning and delivery and collaborate with data, business, and other internal stakeholders.
Communicate product decisions, priorities, and trade-offs clearly in writing.
Drive alignment across teams without excessive process and work effectively in asynchronous, highly ambiguous environments.