Product Manager

🕒 il y a 10 jours

🌲 Oregon – Distant

🌲 Oregon – Remote

💵 $128 000 - $192 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

✅ Responsable Produit

👻 Score fantôme 0%

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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TEKsystems

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1983

💼 Conseil

🎯 Recrutement

🏢 Entreprise

Consulting • Recruitment • Enterprise

TEKsystems est une entreprise mondiale de services informatiques et de services aux entreprises qui fournit du conseil en technologie, des solutions de talents, des services gérés et le recrutement de main-d'œuvre pour des clients d'envergure. L'entreprise offre des services cloud, numériques et de gestion des données (y compris l'IA/ML et l'automatisation), l'innovation applicative, la transformation Agile/DevOps, les opérations technologiques et le travail sur l'expérience numérique, et gère des programmes de talents et de services gérés à grande échelle. TEKsystems opère dans divers secteurs (services financiers, santé, secteur public, télécommunications, vente au détail/fabrication, énergie et bien plus), maintient des partenariats technologiques avec d'importants fournisseurs de cloud et de logiciels, et rapporte un chiffre d'affaires annuel de plus de 7 milliards de dollars et dispose de plus de 100 sites dans le monde.

Description

• Own the product vision, roadmap, and backlog for enterprise data and agentic AI capabilities • Translate business needs into outcome-driven product/service requirements and architecture • Define success metrics for data reliability, AI agent effectiveness, automation value, and operational efficiency • Develop PRDs, user stories, and acceptance criteria focused on operability, reuse, and scalability • Lead cross-functional delivery across data engineering, ML engineering, platform, security, and client stakeholders • Plan and execute programs spanning DataOps, MLOps, and Agentic AI workflows using Agile methods and AI tools • Manage dependencies, risks, timelines, and multiple client workstreams • Establish delivery governance, design reviews, readiness checks, operational handoffs, and post-launch validation • Drive implementation and modernization of enterprise DataOps capabilities, including ingestion, transformation, orchestration, data modeling, metadata, lineage, data quality, and observability • Partner with architects to ensure data tooling is production-ready, secure, and governed • Define and track data SLAs, quality thresholds, and operational metrics • Lead productization and delivery of Agentic AI systems, including agent orchestration, RAG, tool-using agents, and multi-agent workflows • Ensure prompt/workflow versioning, evaluation frameworks, benchmark testing, human-in-the-loop controls, fallbacks, observability, logging, and traceability • Balance accuracy, latency, cost, reliability, and safety through experimentation and data-driven tuning • Partner with security, legal, and compliance teams on PII handling, model access, prompt retention, auditability, change management, and incident response • Serve as a trusted partner to client product delivery leaders and sales executives • Communicate tradeoffs, progress, risks, and value realization across client and internal ecosystems

🎯 Exigences

• Bachelor's degree in Computer Science, Information Systems, Data/Analytics, or equivalent experience • 7–10 years of experience across Product Management and/or Product Operations • Proven experience delivering enterprise DataOps platforms, quality data sets, and/or AI/ML systems into production • Practical experience with RAG pipelines, embeddings, vector databases, agent orchestration, workflow graphs, and tool/function calling using open APIs • Experience authoring PRDs, roadmaps, program plans, and executive readouts • Strong communication and stakeholder-management skills in enterprise environments • Background in consulting or client-facing delivery environments such as Sales Support • Ability to operate independently on ambiguous and complex problem spaces • Ability to make architectural and product tradeoffs grounded in data and delivery realities • Advanced degree is a plus • Experience delivering AI solutions in regulated or compliance-heavy industries is preferred • Familiarity with LLM hosting and deployment patterns • Exposure to LLMOps and MLOps using open tooling • Experience designing reference architectures or accelerators for reuse across clients • Hands-on understanding of orchestration, transformation/modeling, data quality/validation, and metadata/lineage tooling

🏖️ Avantages

• Medical, Dental, and Vision • Critical Illness, Accident, and Hospital coverage • 401(k) Retirement Plan with pre-tax and Roth post-tax contributions • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) • Additional earnings may be available through annual bonuses and profit sharing