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Staff AI Product Manager

Robots and Pencils
Remote, CAN
Manager · 8+ years experience
Remote
Discovered 1 weeks ago
PythonJavaScriptTypeScriptAWSCommunicationBusiness development

Full Job Posting

What You’ll Do

  • Craft & Delivery
  • Define and drive the product vision, strategy, and roadmap for GenAI and agentic AI solutions, connecting AI capabilities to enterprise business outcomes with explicit invest vs. defer tradeoffs
  • Research how enterprise users interact with AI agents and where they lose trust — frame the riskiest assumptions as testable hypotheses and de-risk them first
  • Drive multi-model architecture tradeoffs with engineering — define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
  • Define and own agent behavior end-to-end — system prompts, tool schemas, context management (summarization, working memory, information flow across multi-step tasks), human-in-the-loop boundaries, guardrails, and failure recovery patterns — partnering with engineering on the design decisions that shape how agents actually behave in production
  • Build AI prototypes to validate hypotheses and de-risk product decisions before engineering commits to full build
  • Own backlog management and sprint execution day-to-day across the engagement — prioritizing across multiple AI workstreams, refining agent behavior and requirements with engineering, and keeping the team moving at production pace.
  • Establish and own agent evaluation frameworks covering task completion, reasoning quality, tool selection, failure recovery, safety, and responsible AI — and partner with engineering on production readiness, including observability, drift detection, and prompt versioning
  • Define agent-level success metrics spanning quality, cost, and trust — such as task completion rate, cost per task (not per inference), and escalation rate
  • Define the metrics framework including north star, input, and guardrail metrics at the initiative level and report product impact to leadership
  • Create deployment playbooks, reference architectures, and knowledge transfer materials so teams can sustain solutions independently after engagement
  • Balance near-term deployment milestones with long-term platform scalability and sustainability
  • Bring an AI-forward mindset to your daily work, using tools like Claude, Claude Code, Cursor, and GitHub Copilot — and agentic frameworks as a core part of how product strategy gets built and validated (e.g., LangChain, LangGraph, AWS Strands)
  • Collaboration & Communication
  • Build trusted relationships with client executives and serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
  • Partner with AWS solution architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
  • Manage expectations on scope, timelines, and tradeoffs — facilitate decisions across competing priorities using data, alternatives, and clear rationale
  • Frame AI capabilities and limitations for non-technical stakeholders, manage hype cycles, and set realistic expectations at the executive level
  • Leadership & Influence
  • Establish AI product delivery standards, evals practices, and agent design patterns on the engagements you support
  • Mentor senior and mid-level AI PMs, helping them grow their technical depth, product judgment, and client advisory skills
  • Own the most difficult AI product decisions on your engagement, serving as the senior decision-maker on scope, prioritization, HITL boundaries, and what's good enough to ship
  • Monitor the competitive GenAI landscape and emerging agentic patterns to continuously inform roadmap and technology decisions
  • Contribute to business development, proposals, and the growth of R&P's AI product practice

What You’ll Bring

  • 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 — ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes.
  • Ability to read and engage deeply with code (Python, JavaScript, TypeScript), evaluate architectures, and make product tradeoffs on complex technical constraints
  • Deep GenAI fluency across LLMs, RAG, fine-tuning, prompt engineering, context engineering, and evals — with 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 AI tools to validate hypotheses and de-risk product decisions (e.g., Claude, Claude Code, Cursor, GitHub Copilot)
  • PM-level fluency across the AWS AI ecosystem (e.g., Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions)
  • Expert experience designing and owning evals 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 where the AI landscape evolves weekly
  • Software engineering background (Python, JavaScript, TypeScript), agency or consulting delivery experience, or experience in Financial Services, Healthcare, or Life Sciences is a plus
  • Experience contributing to business development, proposals, or AI practice growth is a plus
  • Helpful Extras and Unique Skills
  • Production experience with open-source LLMs and the trade-offs that shape enterprise model selection.
  • Exposure to multi-modal AI (vision, voice, or document AI) in addition to text-based agents.
  • Emerging voice in the AI product community (writing, speaking, or open-source contributions) that builds external pull for the firm.
  • Vertical depth in one or more of Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, or Manufacturing.
  • You’ll Do Well Here if You Are
  • A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
  • A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
  • Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
  • Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
  • Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
  • All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
  • Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
  • Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.
  • Built for AI's messy reality. You expect non-determinism, you know the gap between a demo and a deployable system, and you'd rather kill a beautiful prototype than ship something that won't survive contact with real users.
  • The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $160.000 CAD - $200.000 CAD. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
  • An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Preferred Qualifications

  • Software engineering background (Python, JavaScript, TypeScript), agency or consulting delivery experience, or experience in Financial Services, Healthcare, or Life Sciences is a plus
  • Experience contributing to business development, proposals, or AI practice growth is a plus

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