Product Manager

Responsibilities

• Partnering with engineering, design, and other product managers throughout the full product lifecycle, from discovery to launch, to ship features that solve real customer problems.
• Gathering, organizing, and prioritizing feature requests and requirements from customers, sales, design, and other stakeholders.
• Writing clear product requirements and driving timely cross-functional execution.
• Identifying and scoping opportunities to use AI and machine learning, like predicting equipment failures before they happen, to help maintenance teams work smarter and avoid costly downtime.
• Using AI tools to accelerate your own workflow, including research, requirements writing, and data analysis.
• Participating in quality assurance testing before feature deployment.
• Documenting features and workflows to grow our internal knowledge base.

Requirements

• A desire to work in the B2B / SaaS market; experience in CMMS is a plus.
• 2-5 years of experience in product management or a related field.
• Experience working in an Agile development environment and product management tools (e.g., Productboard, JIRA), including building roadmaps and communicating updates to stakeholders.
• Comfortable working in a fully remote environment and collaborating with teammates across multiple time zones.
• Demonstrated involvement across the entire product lifecycle, from ideation to launch to research and innovation.
• Strong analytical skills, including the ability to derive insights from data sets, analyze product usage and adoption trends (e.g., using tools like Pendo), and understand client needs.
• Exceptional writing and interpersonal skills, paired with strong independent time management.
• A problem-solver who's comfortable with ambiguity and has a bias toward action; you get to the root cause and creatively solve challenges quickly.
• Highly collaborative, data-driven, and open to giving and receiving direct, constructive feedback.
• Demonstrates fluency with AI tools and workflows, applying them pragmatically to accelerate work while exercising sound judgment about when and how to use them.
• Comfortable using AI tools (e.g., ChatGPT, Claude, Gemini) day-to-day to work faster and smarter.
• Experience contributing to or shipping AI/ML-powered features (e.g., predictive analytics, anomaly detection) is a strong plus.

Benefits & Compensation

• Salary Range: $130,000- $150,000
• Flexible PTO
• 13 paid company holidays
• Paid parental leave
• Health, Dental, and Vision insurance
• Employer paid Basic Life insurance and Short-Term Disability insurance
• Company contribution match for HSA and 401(k)
• Flexible Spending Accounts
• Monthly employee wellness stipend
• Opportunities for Learning and Development Reimbursement
• Pet insurance