Senior Product Manager, AI

Stelle nicht auf LinkedIn

🕒 vor 28 Tagen

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $110.000 - $140.000 / Jahr

⏰ Vollzeit

🟠 Senior

✅ Produktmanager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 4%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lebenslauf hochladen

Paychex

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1971

🏥 Gesundheitswesen

🛡️ Versicherung

💼 Beratung

Healthcare • Insurance • Consulting

Paychex ist ein führender Anbieter von Outsourcing-Dienstleistungen in den Bereichen Personalwesen, Lohnabrechnung und Sozialleistungen. Mit über 745. 000 Geschäftskunden bietet Paychex eine umfassende Palette von Dienstleistungen an, darunter Lohnverarbeitung, HR-Lösungen, Zeit- und Anwesenheitserfassung, Verwaltung von Mitarbeiterleistungen und professionelle Arbeitgeberorganisationen (PEO). Das Unternehmen nutzt fortschrittliche Technologien wie KI-unterstützte Rekrutierung und HR-Analysen, um seine Angebote zu verbessern und das Kundenerlebnis zu optimieren. Paychex Flex, seine umfassende cloud-basierte Plattform, ermöglicht es Unternehmen, diese Dienstleistungen nahtlos zu verwalten. Paychex bedient Unternehmen jeder Größe und bietet Lösungen, die auf Selbstständige, kleine Unternehmen und Großunternehmen zugeschnitten sind. Als etablierter Name in der Branche ist Paychex bekannt für seine Innovation, ethische Praktiken und hohe Kundenzufriedenheit.

Beschreibung

• 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 preferable • Partner with engineering to design, test, and launch AI 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 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 • Define 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 • Partner with customers and internal teams on workflows, edge cases, compliance requirements, operational pain points, and buyer priorities • Conduct customer discovery, stakeholder interviews, workflow analysis, competitive research, and market assessment • Use 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, product hypotheses, and adoption risks • Lead cross-functional execution across engineering, UX, operations, implementation, compliance, customer success, sales, and marketing • Manage risks involving sensitive data, PII, bias, explainability, auditability, and human oversight • Establish AI governance practices covering evaluation, monitoring, documentation, transparency, audit trails, and release controls • Define KPIs and AI-specific metrics for adoption, workflow completion, time savings, quality, satisfaction, risk reduction, efficiency, revenue impact, task success, acceptance, escalation, hallucination rate, trust, cost, and time saved • Establish evaluation approaches such as golden datasets, offline evaluations, human review, LLM-as-judge, regression checks, shadow mode, staged rollouts, and online experiments • Deliver a prioritized AI roadmap, risk-managed MVPs, customer-validated outcomes, production advancement, and improved post-launch AI practices within the first 6–12 months

🎯 Anforderungen

• 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 • Must have a dedicated and ergonomic workspace at home • Access to stable, reliable high-speed internet • 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 ergonomically suitable home environment • Successful completion of a background investigation and drug screening • Familiarity with listed AI tools, platforms, evaluation systems, APIs, integrations, data contracts, workflow orchestration, privacy, security, auditability, and enterprise data access patterns is preferred

🏖️ Vorteile

• 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 • Opportunity to work on AI, automation, integrations, and data-driven insights • Direct partnership with executive product leadership • Background investigation and drug screening as part of conditional employment offer