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Director of Product Management, Agentforce Field Service
Your Impact
Help define and drive the product vision, strategy and roadmap for Field Service Agents
Build tight partnerships with the Agentforce AI Platform team
Lead the customer interface for driving outcomes, success and scalable adoption
Drive end-to-end product lifecycle from concept to adoption, including requirements with prioritized features, corresponding justification, and success metrics.
Collaborate with engineering teams to scope, prioritize and drive feature specifications.
Engage with customers, stakeholders, and partners to deliver roadmap updates, get product feedback, and identify additional challenges and opportunities.
Research and understand industry trends and competition in Generative AI, Field Service.
Collaborate with the rest of Agentforce org and platform teams within Salesforce.
Represent Salesforce as a domain and product expert at customer interactions, industry and corporate events, and community sites and social media.
Required Skills:
7+ years of Product Management or similar experience with highly technical products/platforms
Extensive experience working in AI/ML space including strong technical background and ability to interface with engineers and data scientists in the space.
Good understanding of Generative AI landscape and trends.
Outstanding written and oral communication skills, including experience. presenting to executive leadership, participating in the sales cycle, and handling sensitive, critical issues.
Experience working in and delivering products or services in an agile/lean environment including backlog management (user stories, epics and bugs).
Deep experience in gathering and transforming product requirements into a practical product roadmap.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.
Desired Skills:
Experience with Field Service-specific data and processes, like work orders, scheduling, and asset management within applications.
Familiarity with Salesforce Field Service applications and ecosystem.
Knowledge of Generative AI evaluation and testing approaches.
Experience defining & building AI platforms and capabilities, focused on enabling different personas to get their jobs done as part of end-to-end ML lifecycle.
Experience driving deep collaborations within the company and with external partners and customers.
Experience working with Generative AI vendors is a plus.
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