Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сфокусирована на развивающемся направлении Salesforce AI и данных, но зарплата не указана, а консалтинговый формат может привязать работу к проекту клиента.
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Зарплата не указанаАктуальные технологииПонятная зона ответственностиРабота на проектах клиентовТребования по делу
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Salesforce Product Manager (Agentforce/Data Cloud): Leading product strategy and delivery for Agentforce and Data Cloud/Data 360 capabilities from use-case intake through launch, adoption, and measurement with an accent on data readiness, governance, agent quality, and measurable business outcomes. Focus on defining product requirements, evaluating groundedness and task completion, coordinating technical and business stakeholders, and improving agent behavior and reusable platform patterns.
Location: 100% remote within the United States; availability during core U.S. business hours required.
Company
hirify.global partners with organizations to deliver GenAI, data, product, and technology solutions, including platform modernization and production-ready AI and digital solutions.
What you will do
Own the product vision, roadmap, priorities, backlog, and release plans for Salesforce Agentforce and Data Cloud/Data 360.
Qualify use cases based on user needs, business outcomes, data readiness, risk, reuse potential, cost, and delivery readiness.
Define requirements, epics, features, user stories, acceptance criteria, agent evaluation criteria, data requirements, and success measures.
Lead prototypes, pilots, testing, launch readiness, adoption, and measurement across business and technical stakeholders.
Define data and agent capabilities including ingestion, identity resolution, calculated insights, segmentation, grounding, actions, integrations, permissions, guardrails, and human handoff.
Use production feedback and metrics to improve agent behavior, data quality, adoption, cost effectiveness, and reusable platform patterns.
Requirements
5+ years of product management or product ownership experience with enterprise software, CRM, data platforms, AI-enabled products, automation, or SaaS.
Demonstrated hands-on product experience with both Salesforce Agentforce and Salesforce Data Cloud/Data 360 through pilot or production release; training or certification alone is not sufficient.
Practical knowledge of Data Cloud/Data 360 data ingestion or zero-copy access, data streams, data objects, identity resolution, calculated insights, segmentation, activation, data quality, permissions, and governance.
Practical knowledge of Agentforce topics, instructions, actions, grounding or retrieval, Flow or API integrations, access controls, testing, evaluation, guardrails, escalation, and monitoring.
Strong Salesforce platform fluency, including Flow, security and permissions, metadata, APIs, integrations, and enterprise data.
Must be U.S.-based and available during core U.S. business hours.
Nice to have
Salesforce Certified Agentforce Specialist or Salesforce Certified Data 360 Consultant credentials.
Additional Salesforce credentials such as Platform Administrator, Business Analyst, Platform App Builder, Sales Cloud Consultant, or Service Cloud Consultant.
Experience with Salesforce Flow, MuleSoft, Tableau, CRM Analytics, Snowflake, Databricks, AWS, or Google Cloud.
Experience with AI-agent evaluation, responsible-AI controls, grounding strategies, observability, incident response, and human-in-the-loop operating models.
Experience in a Salesforce Center of Excellence, enterprise platform product team, consulting environment, or CRM and AI adoption program.
Culture & Benefits
Full-time W-2 employment.
Fully remote work within the United States.
40-hour work week with core U.S. business-hours availability.
Work focused on practical GenAI, data, product, and technology delivery.
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