Senior Product Manager, AI

Emploi pas sur LinkedIn

🕒 il y a 12 jours

🌵 Arizona – Distant

🌵 Arizona – Remote

💵 $110 000 - $140 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 13 jours.
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Paychex

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1971

🏥 Santé

🛡️ Assurance

💼 Conseil

Healthcare • Insurance • Consulting

Paychex est un leader dans la fourniture de services externalisés pour les ressources humaines, la paie et les avantages sociaux. Avec plus de 745 000 clients professionnels, Paychex propose une gamme complète de services, y compris le traitement de la paie, des solutions RH, le suivi du temps et des présences, l'administration des avantages sociaux des employés et des services de PEO. L'entreprise utilise des technologies avancées telles que le recrutement assisté par IA et l'analyse RH pour améliorer ses offres et l'expérience client. Paychex Flex, sa plateforme cloud tout-en-un, permet aux entreprises de gérer ces services de manière transparente. Paychex s'adresse aux entreprises de toutes tailles, offrant des solutions adaptées aux travailleurs indépendants, aux petites entreprises et aux grandes entreprises. Établi comme un nom de confiance dans l'industrie, Paychex est réputé pour son innovation, ses pratiques éthiques et sa grande satisfaction client.

Description

• Own product strategy and roadmap for AI-enabled capabilities, workflow automation, data-driven insights, integrations, and platform improvements • Translate customer problems, business goals, technical possibilities, and operational constraints into product priorities • Define MVPs, phased releases, success metrics, rollout plans, risk controls, and business cases • Decide when AI creates durable value versus when rules-based or deterministic automation is better • Partner with engineering to design, test, and launch AI-enabled features, copilots, assistants, agents, conversational experiences, and intelligent workflows • Define user journeys, permissions, tool interactions, guardrails, fallback logic, escalation paths, confidence thresholds, and human review requirements • Write product requirements covering prompts, context engineering, structured outputs, retrieval, workflow orchestration, model limitations, evaluation criteria, and release readiness • Design natural-language experiences over complex data with structured, defensible outputs • Establish AI release-readiness criteria, including hallucination handling, PII protection, audit trails, observability, rollback plans, and user transparency • Use modern AI tools for research, synthesis, requirements, analysis, and prototyping • Develop understanding of customer workflows across screening, compliance operations, document management, monitoring, integrations, and regulated environments • Identify opportunities to connect fragmented workflows, data sources, partner systems, and customer operations • Conduct customer discovery, stakeholder interviews, workflow analysis, competitive research, and market assessment • Use customer feedback, support trends, usage data, sales input, implementation friction, and market signals to inform priorities • Track foundation model releases, agent frameworks, AI evaluation methods, and workflow automation trends • Define personas, jobs-to-be-done, user journeys, problem statements, hypotheses, and adoption risks • Lead cross-functional execution across engineering, UX, operations, implementation, compliance, customer success, sales, and marketing • Partner with security, compliance, legal, and operations to manage sensitive-data, PII, bias, explainability, auditability, and human-oversight risks • Establish AI governance practices, monitoring, documentation, transparency, audit trails, and release controls • Define KPIs for adoption, workflow completion, time savings, quality, customer satisfaction, risk reduction, efficiency, and revenue impact • Define AI metrics including task success, acceptance, escalation, hallucination rate, trust, cost per successful outcome, and time saved • Establish evaluation approaches using golden datasets, offline evaluations, human review, LLM-as-judge, regression checks, shadow mode, staged rollouts, and online experiments • Deliver an AI product roadmap and advance at least one AI-enabled capability, intelligent workflow, data-driven insight, or integration-driven experience toward production within the first 6–12 months

🎯 Exigences

• 7+ years of product management experience in B2B SaaS, workforce technology, compliance software, transportation technology, enterprise workflow software, data products, automation products, or a related domain • 1 to 2+ years shipping AI/ML, generative AI, intelligent automation, conversational analytics, agentic workflows, or data-driven workflow products to real users • Ownership of at least one AI-powered or agent-based capability • Strong technical fluency in LLMs, prompt design, context engineering, retrieval-augmented generation, structured outputs, agent frameworks, evaluation methods, and cost, latency, quality, and safety tradeoffs • Experience defining product strategy, requirements, user stories, acceptance criteria, success metrics, rollout plans, and post-launch iterations • Strong product judgment regarding AI versus deterministic workflow automation • Experience with sensitive data, regulated workflows, compliance-heavy products, high-trust customer environments, or enterprise systems • Strong analytical, written, and verbal communication skills • Bachelor’s degree in business, computer science, engineering, data science, human-computer interaction, or a related field • Equivalent experience will also be considered • Experience with employment screening, drug screening, employment verification, credentialing, license or certification tracking, continuous monitoring, audit readiness, regulated operations, document management, healthcare, transportation, employee life cycle, or compliance-heavy workflows • Experience launching AI-powered features, agents, copilots, workflow automation, recommendation systems, or data-driven decision support into production • Experience designing conversational or natural-language interfaces over complex enterprise data • Experience designing or operating LLM or agent evaluation systems • Familiarity with Claude, ChatGPT, Amazon Bedrock, Azure OpenAI, GitHub Copilot, Cursor, LangChain, LlamaIndex, vector databases, MCP-based connectors, LangGraph, AutoGen, CrewAI, Bedrock Agents, or AI evaluation tools • Working understanding of embeddings, retrieval architectures, data quality issues, permissions, enterprise identity, and enterprise data access patterns • Experience with API-driven platforms, integrations, partner ecosystems, data contracts, workflow orchestration, privacy, security, auditability, or trust-sensitive workflows • Must have a dedicated and ergonomic home workspace • Stable and reliable high-speed internet connection • Adequate lighting and minimal background noise for professional video calls and meetings • Ability to lift and carry up to 5 pounds occasionally • Ability to work effectively in an ergonomic home environment • Successful completion of a background investigation and drug screening required upon offer

🏖️ Avantages

• Medical (with company contribution) • Dental (with company contribution) • Vision • Employer paid Life Insurance and Long-Term Disability • Short-Term Disability • 401(k) (with company match) • Paid holidays • Paid time off (PTO) • Sick Time • Pet insurance • Fully remote work • Executive product leadership exposure • Work on AI, automation, integrations, and data-driven insights

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