AI Product Lead

DockMaster

$110K — $130K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on AI product development experience
  • Proficiency in building and iterating AI-powered software solutions
  • Deep knowledge of probabilistic AI systems and their applications
  • Strong customer engagement and business opportunity identification skills
  • Exceptional communication skills for articulating complex AI concepts
  • Demonstrated leadership in cross-functional teams

Responsibilities

  • Build AI-first product solutions through hands-on development
  • Prototype, iterate, and refine product ideas rapidly
  • Conduct customer discovery to identify pain points and needs
  • Utilize feedback from real usage to validate solutions
  • Frame problems precisely to identify new AI solution opportunities
  • Own the product lifecycle from concept through measurable outcomes
  • Collaborate with cross-functional teams to align on product direction

Benefits

  • Health insurance and wellness programs
  • 401(k) plan with company matching contributions
  • Generous paid time off policy
  • Opportunities for ongoing professional development and growth
  • Performance-based bonuses and competitive compensation structure
Full Job Description
Role Overview

The AI Lead is responsible for identifying, building, validating, and scaling AI-powered product solutions that drive real customer and business outcomes.

This role is hands-on and AI-first. An AI Lead does not operate through documents, tickets, or handoffs. They build working solutions using AI, engage directly with customers, and iterate rapidly based on real-world feedback.

The AI Lead does everything an AI Product Engineer does - plus owns customer discovery, validation, prioritization, and measurable impact.
Core Responsibilities
AI-First Product Building
• Build working product solutions using AI as the primary execution medium
• Rapidly prototype, iterate, and refine solutions to validate ideas early
• Use AI agents for requirements analysis, design exploration, implementation, and testing
• Move from problem understanding to working solution without reliance on legacy SDLC rituals
Customer Discovery & Engagement
• Engage directly with customers to understand workflows, pain points, and unmet needs
• Use live demos and working prototypes to drive customer conversations
• Validate solutions through real usage, not assumptions or opinions
• Build trust by clearly explaining AI behaviour, limitations, and tradeoffs
Problem Framing & Opportunity Identification
• Frame problems clearly and precisely before execution
• Identify new AI-powered solution opportunities and revenue potential
• Evaluate ideas based on impact, feasibility, and learning velocity
• Use experimentation to discard weak ideas quickly
Outcome Ownership
• Define success in terms of adoption, retention, efficiency, and revenue impact
• Prioritize initiatives based on outcomes, not feature volume
• Continuously assess whether solutions are creating real value
• Own the full lifecycle from idea to impact
Cross-Functional Leadership
• Work closely with AI Product Engineers and AI Developers within AI Pods
• Align engineering, design, and data efforts around outcomes
• Communicate clearly with internal stakeholders
• Represent the product externally with credibility and clarity
What This Role Is Not
• Not a backlog or roadmap-only role
• Not a handoff-based product manager
• Not a requirements writer detached from execution
Required Skills & Experience
Core Capabilities
• Strong ability to build working software using AI tools
• Proven experience rapidly prototyping and iterating on product ideas
• Deep understanding of probabilistic AI systems and guardrails
• Ability to reason about systems end-to-end
Product & Business Acumen
• Experience engaging directly with customers
• Ability to identify business and revenue opportunities
• Strong product judgment and taste
• Comfort prioritizing under uncertainty
Communication & Leadership
• Ability to explain complex AI behavior clearly and honestly
• Strong storytelling grounded in real system behavior
• Comfortable leading through influence rather than authority

What We Offer:
• Competitive salary and bonus structure based on performance.
• Health insurance, 401(k) with company match, and paid time off.
• Opportunities for professional development and career advancement.

#Dockmaster

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