Senior AI ProductManager

robotsandpencils; Colombia; On-site; COP 133,920,000 - 200,880,000; Full time

Job summary

Robots & Pencils seeks a Senior Product Manager, AI to lead end-to-end delivery for complex GenAI engagements. You will own the roadmap, define agent behavior, run evals, and guide discovery through phased rollout with production readiness.

You will collaborate with engineering on architecture decisions and communicate AI tradeoffs to executives. The role requires deep AI fluency and hands-on prototyping ability to steer non-deterministic systems at enterprise scale, while building trusted

Qualifications

• Hands-on prototyping ability in GenAI environments.
• Deep AI fluency and ability to navigate non-deterministic systems at enterprise scale.
• Experience leading end-to-end AI product engagements and client relationships.
• Own the full arc from discovery through phased rollout and production readiness.

Responsibilities

• Own end-to-end product delivery for complex AI engagements, from discovery to production readiness.
• Define and maintain AI product roadmaps linking agent capabilities to measurable business outcomes.
• Lead discovery activities including user research and stakeholder interviews; test assumptions early.
• Design and run experiments including POCs and pilot deployments for multi-step agentic workflows.
• Define agent behavior end-to-end including prompts, tool schemas, context management, and memory patterns.
• Own backlog management and sprint execution with engineering to maintain momentum.
• Establish evals frameworks covering task completion, reasoning, tool selection, and safety.
• Define success metrics at the agent level and align with business KPIs.
• Set human-in-the-loop boundaries and guardrails for autonomy vs escalation.

Skills

AI product leadership

Stakeholder management

Experimentation & prototyping

User research

Tools

Claude

Claude Code

Cursor

GitHub Copilot

Job description

Senior Product Manager , AI

Location

This position can be located in the following area(s):

Company Overview

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. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there. We've earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.

Position Overview

We're looking for a Senior Product Manager, AI to lead end-to-end product delivery for complex GenAI and agentic AI engagements. This role demands deep AI fluency, hands-on prototyping ability, and the product judgment to navigate non-deterministic systems at enterprise scale. It is ideal for an experienced AI product leader who can own the full arc of an engagement - from framing the problem through shipping a production-grade agentic solution - while building trusted relationships with senior client stakeholders.

In this role, you will work as the primary product lead on a cross-functional AI delivery team, owning the roadmap, defining agent behavior, running evals, and guiding delivery from discovery through phased rollout. You'll bring the technical depth to engage meaningfully with engineering on architecture decisions and the communication skills to frame AI tradeoffs clearly for executive audiences.

Why This Role Matters

Senior Product Managers, AI are how Robots and Pencils turns AI ambition into shipped agentic systems. On the engagements you lead, you own discovery and delivery end-to-end, define the agent behavior and evals that hold up in production, and keep the team focused on outcomes - not just features. We ship production-ready AI in 30 to 45 days; that pace holds only when someone owns the product like their own, stays close to both the user and the model, and surfaces the AI trade-offs - latency, cost, quality, safety - before they cost the result.

What You'll Do

Craft & Delivery

• Own end-to-end product delivery for complex AI and agentic AI engagements, from discovery and hypothesis framing through phased rollout and production readiness


• Define and maintain AI product roadmaps that connect agent capabilities to measurable enterprise business outcomes


• Lead discovery activities including user research, stakeholder interviews, and assumption testing - framing the riskiest hypotheses first and de-risking them before committing to build


• Design and run experiments including POCs, pilot deployments, and scenario-based testing of multi-step agentic workflows, edge cases, and failure recovery


• Define agent behavior end-to-end including system prompts, tool schemas, context management, summarization, and working memory patterns across multi-step tasks


• Own backlog management and sprint execution day-to-day on complex AI engagements - prioritizing work, refining agent behavior and requirements with engineering, and keeping the team moving.


• Own and run evals frameworks covering task completion, reasoning quality, tool selection, failure recovery, and safety - iterating based on evidence rather than assumptions


• Define success metrics at the agent level including task completion rate, cost per task, escalation rate, and time to resolution alongside business KPIs


• Establish human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output


• Bring an AI-forward mindset to your daily work, using tools like Claude, Claude Code, Cursor, and GitHub Copilot - and agentic frameworks where relevant - to move faster than traditional product

Collaboration & Communication

• Lead stakeholder working sessions, prioritization discussions, and risk conversations with senior client stakeholders with confidence and clarity


• Communicate complex AI tradeoffs, agent behavior, and product decisions clearly to both technical and non-technical executive audiences


• Build trusted relationships with client stakeholders and serve as a reliable, consultative partner throughout the engagement

Leadership & Influence

• Lead prioritization decisions by balancing business value, technical feasibility, cost, latency, and delivery timelines


• Frame every request in terms of user and business outcomes, pushing back on feature-level thinking and managing AI hype cycles with realistic expectations


• Begin mentoring junior AI PMs on the engagement, sharing knowledge on evals,