Salesforce Product Manager – Agentforce, Data Cloud

🕒 il y a 4 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 15%

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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PhoenixTeam

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

💳 Fintech

🏠 Immobilier

🤖 Intelligence artificielle

Fintech • Real Estate • Artificial Intelligence

PhoenixTeam est une entreprise spécialisée dans la fourniture de solutions et services innovants pour l'industrie hypothécaire à travers l'intégration de l'analyse des données et le développement de logiciels. Elle se concentre sur la fourniture de résultats de qualité en s'appuyant sur des technologies et méthodologies avancées pour améliorer les processus commerciaux et générer de la valeur pour les clients des secteurs commercial et fédéral. Leurs offres incluent des programmes de formation, du conseil, du coaching et des solutions produits personnalisées conçues pour s'aligner sur les besoins spécifiques des professionnels de l'hypothèque, assurant ainsi une mise en œuvre réussie et une adoption par les utilisateurs.

Description

• Own product vision, roadmap, priorities, and backlog for Agentforce and Data Cloud/Data 360 capabilities • Manage intake and qualify use cases by user need, business outcome, data availability, risk, reuse potential, cost, and delivery readiness • Translate priorities into product requirements, epics, features, user stories, acceptance criteria, agent evaluation criteria, data requirements, and release plans • Define Data Cloud/Data 360 requirements covering source systems, data streams and connectors, zero-copy access, data-model mapping, identity resolution, calculated insights, segments and activations, unstructured content, permissions, consent, data quality, and governance • Define Agentforce requirements covering topics, instructions, actions, grounding and retrieval, Flow and API integrations, access controls, guardrails, human handoff, and monitoring • Prioritize work based on business value, data readiness, governance risk, technical dependencies, enterprise reuse, and delivery capacity • Partner with business, architecture, data, engineering, security, privacy, legal, operations, and adoption teams to resolve dependencies and sequence releases • Lead prototype, pilot, testing, and launch-readiness activities • Define evaluation of groundedness, task completion, reliability, access control, escalation, user experience, and business impact • Use production feedback and metrics to improve agent behavior, data quality, adoption, cost effectiveness, and reusable platform patterns • Maintain decisions, assumptions, risks, and traceability from business outcome through data context, agent behavior, release, and measured result

🎯 Exigences

• 5+ years of product management or product ownership experience for enterprise software, CRM, data platforms, AI-enabled products, automation, or SaaS • Demonstrated product management experience with both Salesforce Agentforce and Salesforce Data Cloud/Data 360, including taking capabilities through pilot or production release • Ability to explain personal product decisions, data and agent design, quality measures, adoption approach, and business outcome • Practical knowledge of Data Cloud/Data 360, including data ingestion or zero-copy access, data streams, Data Lake Objects and Data Model Objects, identity resolution, calculated insights, segmentation and activation, data quality, permissions, and governance • Practical knowledge of Agentforce, including topics, instructions, actions, grounding or retrieval, Flow or API integrations, access controls, testing and evaluation, guardrails, human escalation, and monitoring • Ability to own product strategy, roadmap, backlog, and release plan • Ability to write product requirements, user stories, acceptance criteria, and measurable success criteria • Strong Salesforce platform fluency, including Salesforce applications, Flow, platform security and permissions, metadata, APIs, integrations, and enterprise data • Experience coordinating decisions across business, architecture, data, engineering, security, privacy, legal, and operational stakeholders • Strong judgment and communication skills, including challenging low-value or poorly prepared use cases and explaining technical tradeoffs • Salesforce Certified Agentforce Specialist and Salesforce Certified Data 360 Consultant preferred • Additional Salesforce credentials preferred, including Platform Administrator, Business Analyst, Platform App Builder, Sales Cloud Consultant, or Service Cloud Consultant • Experience with Salesforce Flow, MuleSoft or other API and integration patterns, Tableau or CRM Analytics, and enterprise data platforms such as Snowflake, Databricks, AWS, or Google Cloud preferred • Experience defining AI-agent evaluation, responsible-AI controls, prompt or grounding strategies, observability, incident response, and human-in-the-loop operating models preferred • Experience working in a Salesforce Center of Excellence, enterprise platform product team, or customer-facing consulting environment preferred • Experience driving adoption and operating-model change for CRM, data, automation, or AI capabilities preferred • Availability during core U.S. business hours

🏖️ Avantages

• 100% remote work • Full-time W2 employment • 40 hours/week with availability during core U.S. business hours