Product Manager, AI-Native Prototyping

New

Porch GroupSaaS, insurance

United States; RemoteFull-TimeMiddle

Salary$108,800 - $152,300 annually

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Job Details

Experience: 3 or more years of product management experience, preferably in B2B SaaS.
Required Skills: Product ManagementJiraProduct AnalyticsPrototyping

Have 3 or more years of product management experience; B2B SaaS experience is preferred.
Independently build and validate functional prototypes using Claude Design and Claude Code, or comparable tools, and be able to adopt the company's workflow.
Be prepared to show work you personally created and explain your decisions and validation.
Demonstrate product ownership, judgment, and results.
Use customer insights and product data to set priorities, evaluate outcomes, and adjust direction.
Show curiosity and resourcefulness in questioning assumptions, exploring solutions, and experimenting in response to customer problems.
Be willing to engage directly with customers and learn their businesses in depth.
Communicate and prioritize effectively, solve problems, work independently, and collaborate with engineering and the APM.
Write clear, detailed, actionable specifications and feedback so engineers and the APM can move forward with minimal clarification.

Own product strategy and the roadmap for assigned product areas within the Head of Product's vision and priorities.
Prioritize opportunities using customer evidence, business impact, effort, and strategic alignment, and explain decisions and trade-offs.
Lead customer discovery through interviews, feedback channels, Sales and Customer Success input, product data, and competitive research.
Design user flows and build interactive, functional prototypes with AI tools such as Claude Design and Claude Code.
Test complete workflows with customers and iterate based on their feedback before engineering builds production versions.
Define feature requirements, expected behaviors, scope, and success metrics; make product decisions during development and review delivered features.
Apply established design patterns, accessibility considerations, and consistent product experiences.
Partner with the Associate Product Manager and delivery team to turn validated solutions into development-ready work.
Measure adoption, engagement, and customer outcomes after launch, and use results to improve the product and adjust priorities.
Use AI to accelerate research, design, and prototyping, and identify customer-facing AI opportunities.

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