Knotch

Status: researching

Priority: 1

Role: Senior Technical Product Manager / Product Builder

Job ops data:

• ID: da18b723-be4c-460e-ac87-cbead7aa4f5f.
• Score: 85.
• Status: ready.
• Source: indeed.
• Salary: $160,000-$180,000 USD yearly.
• Location: remote within the United States; Eastern Time strongly preferred.
• Application: Open listing.
• App brief: own AI-native 0-to-1 product work from customer discovery and synthesis through PRDs, prototypes, validated MVPs, and engineering handoff.
• App suitability reminder: excellent fit for a builder-style role combining product leadership, full-stack prototyping, customer discovery, AI workflows, and startup execution.

Company thesis:

• Knotch helps brands measure and improve content performance with analytics, strategic insights, and AI.
• This role explicitly collapses the boundary between product management and engineering, which closely matches a discovery-to-prototype-to-handoff background.

Fit for me:

• Strongest match: product leadership combined with hands-on software building.
• Second match: 0-to-1 discovery, requirements, rapid prototyping, and cross-functional alignment.
• Third match: using AI to accelerate research, documentation, implementation, and asynchronous delivery.
• Biggest gap: recent marketing analytics SaaS experience and explicit examples using the named AI coding tools.
• Risk or concern: Eastern Time preference may create an earlier daily schedule from Colorado.

Relevant wiki links:

• Customer Discovery And Requirements Gathering
• Product Sense And Roadmap Feedback
• Developer Productivity AI
• Full-Stack Product Engineering

Signal to research:

• Knotch's current platform, buyers, and core content-performance workflows.
• What is genuinely new product creation versus customer-specific prototyping.
• Expected fidelity of MVPs before engineering handoff.
• How the product team evaluates AI-generated synthesis and prototypes.

Interview prep:

• Story to prepare: moving from stakeholder interviews through requirements and a working prototype to production delivery.
• Technical topic to refresh: AI-assisted product discovery, prototype validation, and clean engineering handoffs.
• Customer scenario to practice: synthesize noisy customer calls into a testable product hypothesis and thin MVP.
• Smart question to ask: "What evidence must a product-builder prototype produce before the core engineering team commits to scaling it?"
• Resume / cover letter angle: experienced product builder who can discover the problem, create the artifact, ship the prototype, and coordinate the path to production.

Next action:

• Select one Odyssy or Raid Guild example that demonstrates the complete 0-to-1 builder loop.

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