Product Owner for AI and Data Tools Remote Role
Overview
You’ll collaborate with engineering, data, and business teams to solve complex problems by turning them into user-friendly products. Experience in AI, data platforms, or developer tools is highly relevant. This is a remote full-time role that emphasizes delivering intuitive, high-quality outcomes and tracking how users adopt the product.
What You'll Do8
- 1Own the end-to-end product lifecycle from discovery through launch and iterations.
- 2Build and refine products with a focus on the user experience and clarity of use.
- 3Define success metrics, monitor adoption, and measure product outcomes using KPIs.
- 4Prioritize work by weighing user needs, business impact, and technical constraints.
- 5Convert ambiguous challenges into clear, executable releases and roadmaps.
- 6Incorporate customer feedback and product data to drive ongoing improvements.
- 7Collaborate with engineering to align on goals and timelines across teams.
- 8Move swiftly without compromising product quality.
Requirements7
- 1Previous experience as a Product Owner or similar role managing a live software product.
- 2Strong background in AI, data, developer tools, or other technically advanced products is preferred.
- 3A proven track record of delivering customer-facing products that are easy and enjoyable to use.
- 4Sharp product judgment with the ability to simplify complex problems.
- 5Experience using KPIs, usage data, and customer insights to guide decisions.
- 6Comfort working in fast-moving, ambiguous environments and taking initiative.
- 7Excellent written communication and stakeholder management skills.
Who Should Apply
The ideal candidate has hands-on product ownership experience with live software and a strong grasp of AI or data-driven products. They can translate complex problems into simple user experiences. This role may be less suitable for someone without prior product ownership on customer-facing software or without comfort in fast, ambiguous settings. Common fit questions include whether you have demonstrable AI or data product work and whether you’ve driven metrics like adoption or engagement.
Salary Insight
Pay for this role is not disclosed here. The source notes a base range in the original posting, and compensation details are discussed later.
Location
Required Skills
Application Tip
Highlight a concrete metric from a prior product you led (e.g., adoption rate, activation, or time-to-value) and describe how you used user feedback and data to drive a 1–2 release cycle improvement.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
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