Staff AI Product Manager

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $160k - $200k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 7%

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Logo of Robots & Pencils

Robots & Pencils

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Define and drive product vision, strategy, and roadmap for GenAI and agentic AI solutions • Connect AI capabilities to enterprise business outcomes and make invest-versus-defer tradeoffs • Research enterprise user interactions with AI agents, identify trust issues, and test risky assumptions • Drive multi-model architecture tradeoffs with engineering, including quality, cost, and latency targets • Define and own agent behavior, including system prompts, tool schemas, context management, human-in-the-loop boundaries, guardrails, and failure recovery • Build AI prototypes to validate hypotheses and de-risk product decisions • Own backlog management and sprint execution across multiple AI workstreams • Establish agent evaluation frameworks covering task completion, reasoning quality, tool selection, failure recovery, safety, and responsible AI • Partner with engineering on observability, drift detection, prompt versioning, and production readiness • Define agent-level and initiative-level success metrics and report product impact to leadership • Create deployment playbooks, reference architectures, and knowledge-transfer materials • Balance near-term deployment milestones with long-term platform scalability and sustainability • Use AI tools and agentic frameworks such as Claude, Claude Code, Cursor, GitHub Copilot, LangChain, LangGraph, and AWS Strands • Build relationships with client executives and serve as primary advisor on AI product direction and deployment strategy • Partner with AWS solution architects and account teams on technical approach, service selection, and go-to-market • Manage scope, timelines, expectations, and tradeoffs across competing priorities • Explain AI capabilities and limitations to non-technical stakeholders and manage executive expectations • Establish AI product delivery standards, evaluation practices, and agent design patterns • Mentor senior and mid-level AI product managers • Own difficult AI product decisions on scope, prioritization, HITL boundaries, and shipping readiness • Monitor the competitive GenAI landscape and emerging agentic patterns • Contribute to business development, proposals, and growth of the AI product practice

🎯 Requirements

• 8+ years in product management, forward deployment, or solutions engineering • Must have shipped AI products from prototype through production at enterprise scale • Strong product sense and ability to make prioritization decisions with incomplete information • Ability to read and engage deeply with Python, JavaScript, and TypeScript code • Ability to evaluate architectures and make product tradeoffs on complex technical constraints • Deep GenAI fluency across LLMs, RAG, fine-tuning, prompt engineering, context engineering, and evals • Hands-on experience building or shipping agentic systems, including planning, tool use, human-in-the-loop controls, and guardrails • Proven ability to prototype AI solutions using Claude, Claude Code, Cursor, or GitHub Copilot • PM-level fluency across the AWS AI ecosystem, including Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, and Step Functions • Expert experience designing and owning evaluation frameworks for production AI systems • Exceptional written and verbal communication skills, including clear PRDs, technical specs, and decision logs • Track record of driving alignment with Directors, VPs, and C-level stakeholders on AI product direction • Comfortable operating in ambiguous, fast-moving environments • Software engineering background, agency or consulting delivery experience, or Financial Services, Healthcare, or Life Sciences experience is a plus • Experience contributing to business development, proposals, or AI practice growth is a plus • Production experience with open-source LLMs is a helpful extra • Exposure to multimodal AI is a helpful extra • Emerging voice in the AI product community is a helpful extra • Vertical depth in listed industries is a helpful extra

🏖️ Benefits

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) for eligible employees • Equal employment opportunities • Background check conducted in accordance with local legislation; current employer not contacted without permission

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