Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. Founded in 2009, we are smaller, faster, and more senior by design, with teams averaging 15+ years of experience.
Technical Product Manager
Location
United States
Posted
17 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
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.
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