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Strong employer brand, metro location, and broad technical plus leadership requirements increase applicant competition.
Requires specialized Salesforce Agentforce/Data Cloud and enterprise AI deployment experience, limiting cross-industry fit.
Specific Agentforce/Data Cloud and deep ML leadership requirements create stringent, high-filter hiring.
Lead and grow a technical AI delivery team combining Forward Deployed Engineers and Deployment Strategists to deploy Agentforce solutions in complex enterprise environments.
Drive engineering excellence, manage capacity, unblock complex deployment challenges, and scale production AI talent across multiple accounts or large enterprise portfolios.
Partner closely with Product and Engineering teams to influence AI product roadmaps based on frontline deployment insights and ensure rapid production deployment and customer adoption.
4+ years of direct people management or high-impact technical leadership of cross-functional engineering or technical teams.
Deep architectural knowledge of AI, large language models (LLMs), Salesforce ecosystem, enterprise software implementation, data modeling, API integration, and AI deployments.
Hands-on experience architecting or deploying Salesforce Data Cloud and Agentforce platform at enterprise scale.
Work Experience Required: 4+ years in people management or equivalent technical leadership. Notice Period: Not explicitly mentioned in the JD.
Proven ability to recruit, mentor, and scale elite technical talent in AI and enterprise software delivery.
Strong executive-level communication and customer relationship skills focused on Global enterprise CTOs and architects.
Hands-on, production-focused leadership style with a track record of shipping and scaling complex AI solutions in enterprise settings.