[Hiring] Technical Product Manager @Robots and Pencils

Role Description

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI.

Enterprise clients want to deploy Agents - moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable. The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

• Product Strategy & AI Vision:
  • Define and drive the product vision, strategy, and roadmap for GenAI solutions with agentic AI as the primary focus.
  • Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities.
  • Balance near-term deployment milestones with long-term platform scalability and sustainability.
  • Monitor the competitive GenAI landscape and emerging agentic patterns.
• Discovery & Validation:
  • Research how enterprise users interact with AI agents and where they lose trust.
  • Design and run experiments to validate agentic solutions.
  • Distill research, experiments, and competitive intelligence into clear insights.
• Agent Design, Prototyping & Production:
  • Define agent behavior and prototype system prompts and tool schemas.
  • Drive multi-model architecture tradeoffs with engineering.
  • Build AI prototypes to validate hypotheses.
  • Establish agent evaluation frameworks and partner with engineering on production readiness.
  • Define success metrics at the agent level.
• Delivery & Execution:
  • Own the end-to-end product lifecycle from discovery through phased rollouts.
  • Manage the product backlog, scope, dependencies, and risks.
  • Evaluate technology and platform decisions from a product perspective.
  • Use AI to accelerate product work.
• Stakeholder Management:
  • Build trusted relationships with stakeholders and executives.
  • Partner with AWS Solution Architects and account teams.
  • Manage expectations on scope, timelines, and tradeoffs.
  • Frame AI capabilities and limitations for non-technical stakeholders.

Qualifications

• 8-12+ years in product management, forward deployment, or solutions engineering.
• Strong product sense and ability to identify what matters to users and the business.
• Deep GenAI fluency with hands-on experience building or shipping agentic systems.
• Proven ability to prototype AI solutions using AI tools.
• Experience deploying AI solutions in enterprise environments with strong technical fluency.
• Exceptional communicator with experience leading AI products through full lifecycle.
• Comfortable operating in ambiguous, fast-moving environments.
• PM-level fluency across the AWS AI ecosystem.

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript).
• Agency or consulting delivery experience.
• Experience in Financial Services, Healthcare, or Life Sciences industries.
• Familiarity with open-source LLM ecosystem for flexibility and cost optimization.
• Prior experience leading time-boxed discovery initiatives or technical spikes.

Benefits

• Work at the intersection of cutting-edge AI and real enterprise impact.
• Variety of consulting with the depth of a product role.
• Collaborative, technically sharp team invested in doing great work for clients.