Senior AI Product Manager

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $130 000 - $165 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 54%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Robots & Pencils

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

💰 Venture Round en 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils est une société d'innovation numérique spécialisée dans le développement de stratégies et de produits numériques en utilisant les technologies mobiles, web et de pointe pour transformer les entreprises. Ils se concentrent sur des domaines tels que le développement mobile, la conception de produits, la recherche UX, l'intelligence artificielle, l'apprentissage automatique et la gestion du changement organisationnel. Avec un engagement à fusionner créativité et technologie, ils visent à débloquer les insights des données et à améliorer l'innovation produit, en offrant finalement d'excellentes expériences client et en aidant les marques à acquérir un avantage concurrentiel.

Description

• 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 connecting agent capabilities to measurable enterprise business outcomes • Lead discovery activities including user research, stakeholder interviews, and assumption testing • 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 including system prompts, tool schemas, context management, summarization, and working memory patterns • Own and run evaluation frameworks covering task completion, reasoning quality, tool selection, failure recovery, and safety • Define agent-level success metrics including task completion rate, cost per task, escalation rate, and time to resolution alongside business KPIs • Establish human-in-the-loop boundaries and guardrails • Use AI-forward tools such as Claude, Claude Code, Cursor, and GitHub Copilot to accelerate product work • Lead stakeholder working sessions, prioritization discussions, and risk conversations with senior client stakeholders • Communicate complex AI tradeoffs, agent behavior, and product decisions to technical and non-technical executive audiences • Build trusted, consultative relationships with client stakeholders • Lead prioritization by balancing business value, technical feasibility, cost, latency, and delivery timelines • Frame requests around user and business outcomes and manage AI hype cycles with realistic expectations • Mentor junior AI product managers on evals, agent design, and AI product delivery practices

🎯 Exigences

• 5+ years of experience in product management with hands-on experience shipping AI features or products • Ability to read code in Python, JavaScript, or TypeScript • Ability to evaluate architecture decisions and make informed product tradeoffs on technical constraints • Deep understanding of LLMs, RAG, fine-tuning, prompt and context engineering, agentic systems, planning, tool use, human-in-the-loop controls, guardrails, and evals • Proven ability to prototype AI and agentic solutions using modern AI tools such as Claude, Claude Code, Cursor, and GitHub Copilot • Experience running evals for AI systems and iterating based on results • Experience defining agent behavior including system prompts, tool schemas, and human-in-the-loop boundaries • Strong experience working with AWS AI services such as Bedrock, Lambda, SageMaker, and Kendra • Strong client communication skills and ability to frame AI capabilities and limitations for non-technical executive audiences • Comfortable operating in ambiguous, fast-moving environments • Experience in a consulting or agency environment, familiarity with agent orchestration frameworks such as LangChain, LangGraph, or AWS Strands, or a software engineering background is a plus • Successful completion of a background check may be required • US work location

🏖️ Avantages

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) for eligible employees