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Product Manager
Location
United States
Posted
145 days ago
Salary
$100K - $130K / year
Bachelor Degree3 yrs expEnglishIo T
Job Description
• Create clear and actionable user stories and product requirements for features, epics, and initiatives.
• Prioritize and manage product backlogs across multiple engineering teams, aligning with the quarterly roadmap and OKRs.
• Collaborate with UX/UI designers and frontend engineers to transform requirements into intuitive Figma designs.
• Ensure all product acceptance criteria are met following QA, and lead the sign-off process for production releases.
• Test new feature viability directly with customers, gather feedback, and iterate based on results.
• Analyze product performance, user adoption, and usage data to propose improvements and enhancements.
• Coordinate cross-functionally with engineering, QA, and operations to ensure seamless feature delivery and high product quality.
• Support go-to-market plans in collaboration with Product Marketing and Customer Success teams.
Job Requirements
- 3–5 years of product management experience, preferably within industrial IoT, oil & gas technology, or AI/ML-driven platforms.
- Demonstrated ability to write succinct product requirements, manage product backlogs, prioritize features, and translate roadmap goals into delivery plans in Jira.
- Experience working collaboratively with design and engineering teams, with a strong focus on usability and technical feasibility.
- Direct experience using or overseeing tools such as Figma during the design process.
- Solid understanding of QA/test workflows and experience defining and verifying acceptance criteria for new releases.
- Excellent communication and organizational skills, with experience soliciting and incorporating customer feedback during product development.
- Proven success in a startup or high-growth environment, demonstrating adaptability and a strong sense of ownership.
- Bonus Points: Direct industry experience in oil & gas, energy, or mission-critical IoT deployments.
- Familiarity with B2B SaaS product cycles and enterprise customer requirements.
- Knowledge of technical concepts such as edge computing, hardware development and deployment, and AI-based industrial software is strongly preferred.
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