Remote Product Manager — AI & Data Infrastructure

Wynd Labs; Oregon; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote team

Competitive salary & benefits

Job summary

Wynd Labs is seeking a hands-on Product Manager to turn complex infrastructure challenges into impactful products. You will work directly with engineering and leadership in a lean, fast-moving team, driving product initiatives from concept to launch and shaping the direction of our data infrastructure and AI products.

NOTE: This role requires a work schedule that overlaps sufficiently with EST business hours to collaborate effectively with the team.

Qualifications

• Bachelor's degree or equivalent work experience.
• Proven experience shipping technical products, ideally from scratch or in early-stage environments.
• Strong understanding of APIs, infrastructure, data systems, or distributed architectures.
• Experience defining roadmaps and prioritizing work using data.
• Nice to have: Experience with AI/ML infrastructure, data platforms, developer tools, or web-scale technologies.

Responsibilities

• Define product priorities, shape the roadmap, and drive projects from concept to launch.
• Partner directly with engineering and leadership to define requirements, align priorities, and deliver solutions.
• Identify product opportunities across web data infrastructure, data pipelines, and AI-related products.
• Balance technical feasibility, business impact, and speed when making product decisions.
• Measure product performance and use insights to guide continuous improvement.

Skills

Product management

Technical products

APIs & infrastructure

Roadmapping & data-driven prioritiz

Education

Bachelor's degree or equivalent work experience

Job description

Wynd Labs is seeking a hands-on Product Manager to turn complex infrastructure challenges into impactful products. You will work directly with engineering and leadership in a lean, fast-moving team, driving product initiatives from concept to launch and shaping the direction of our data infrastructure and AI products.

NOTE: This role requires a work schedule that overlaps sufficiently with EST business hours to collaborate effectively with the team.