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Product Manager

Speridian Technologies · Kansas City, MO, USA ·

Pay:
90.000 - 130.000
Job type:
Full Time

Location – Kansas City, MO (Hybrid – 3 days onsite)

Responsibilities
Market Research and Analysis

Conduct market research to understand industry trends, competitor products, and customer needs.

Analyze data and gather insights to inform product strategy and decision-making.

Define and communicate the product vision, goals, and overall strategy.

Align the product strategy with the company's business objectives and long-term vision.

Roadmap Development

Develop and maintain a product roadmap that outlines the planned features and enhancements over time.

Prioritize features based on customer needs, market demand, and business priorities.

Requirements Gathering

Collaborate with stakeholders, customers, and internal teams to gather and prioritize product requirements.

Translate customer feedback and business needs into clear and actionable user stories.

Cross-Functional Collaboration

Work closely with cross-functional teams, including development, design, marketing, and sales, to ensure alignment on product goals and successful product delivery.

Facilitate communication and collaboration among team members.

Release Planning

Plan and coordinate product releases, taking into account development timelines, resource availability, and market needs.

Define release objectives and success criteria.

Product Development Oversight

Provide guidance to development teams throughout the product development lifecycle.

Make decisions on feature prioritization, trade-offs, and scope changes as needed.

User Experience (UX) and Design

Collaborate with UX designers to ensure that the product's user experience aligns with user needs and expectations.

Provide input on design decisions and iterate based on user feedback.

Develop and execute go-to-market strategies for new product releases.

Collaborate with marketing and sales teams to create effective product messaging and positioning.

Metrics and Analytics

Define key performance indicators (KPIs) and metrics to measure the success of the product.

Analyze data and feedback to iteratively improve the product and inform future decisions.

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