ClickTime · 13 hours ago

Product Manager

United States

Full-time

Remote

Mid Level

$100K/yr - $140K/yr

3+ years exp

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Culture & Values

Hiring Manager

Christy Simpson

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Responsibilities

Define, refine, and maintain the product roadmap

Engage deeply with customers, stakeholders, and market data to uncover unmet needs and develop new product features or enhancements

Deliver clear and detailed product requirements, user stories, technical product specifications, and prototypes, with a focus on using data and AI tools

Coordinate with cross-functional teams, including Engineering, Design, Sales, and Marketing, to ensure seamless execution

Analyze key product metrics (eg, engagement, usage patterns, feature adoption), structure and organize large datasets, extract meaningful trends, and recognize key data patterns

Support go-to-market activities, including working closely with customer-facing teams, assisting marketing strategies, and aligning product launches with business goals

Use technology tools to streamline tasks, automate repetitive processes, and make data-driven decisions. Apply your knowledge of AI and emerging technologies to identify ways to enhance product features and stay ahead of industry trends

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Product ManagementTechnical CollaborationAI TechnologiesData AnalysisEnterprise Customer UnderstandingProduct Lifecycle ManagementMachine LearningLarge Language ModelsB2B SaaS KnowledgeSecurity ComplianceProactive Management

Required

3+ years in a product management role

Previous experience in a technical role or a proven ability to work closely with engineering teams on complex, data-driven projects. Familiarity with working on products that involve intricate data sources

Experience incorporating AI technologies, such as large language models (LLMs) or machine learning, into products. Knowledge of adjacent AI trends and their practical applications in a B2B SaaS context

A solid understanding of enterprise customer requirements, including security, privacy, and compliance

A proactive approach to managing every aspect of the product lifecycle, from discovery to delivery