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Salesforce

Agentforce/AI Deployment Strategist (Multiple Levels)

Salesforce, Boston, Massachusetts, us, 02298

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Compensation Base pay range $167,300.00/yr - $384,100.00/yr

Note: Salaries vary by location. For New York, Colorado, Washington, Washington D.C., California, Illinois, and Massachusetts, base salary ranges are country-specific as listed in the job posting.

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. We’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce\'s core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications for this position will be accepted on an ongoing basis.

About The Role We are seeking a Deployment Strategist, a pivotal leadership role focused on driving the successful adoption and strategic implementation of AI-powered Agentforce solutions for our key customers. This role is less about hands-on technical execution and more about solutioning, strategic oversight, and executive relationship management.

As a trusted advisor, you will be the primary front-facing contact for Agentforce deployments, bridging customer strategic needs with our product innovation to ensure long-term success and value realization. You will play a critical role in defining and steering the Agentic AI strategy and roadmap for our customers, establishing guardrails, and ensuring responsible AI usage. You\'ll oversee complex deployments, fostering collaboration across various stakeholders, setting strategic goals, and proactively addressing challenges. You will also connect customer needs with product development, offering valuable field insights to influence enhancements and accelerate the product roadmap, ensuring the Agentforce platform remains at the forefront of AI solutions.

A successful Deployment Strategist will deeply understand our customers\' most complex business problems, facilitating workshops like agent design and jobs-to-be-done to craft innovative and impactful solutions that leverage our Agentforce platform and beyond. You will be instrumental in addressing organizational readiness for AI adoption, guiding customers through the necessary changes to maximize their investment.

Your Impact

Strategic Solutioning & Design Leadership:

Lead the analysis and strategic design of intelligent AI-powered agents within Salesforce environments, leveraging Agentforce, Data Cloud, Flow, and Salesforce APIs. Synthesize complex business challenges into clear, actionable solution architectures and strategic deployment plans, focusing on business impact rather than technical execution.

Deployment Ownership & Program Management:

Provide comprehensive oversight for the successful deployment of Agentforce solutions, ensuring seamless integration with existing customer infrastructure. Monitor project progress, identify potential roadblocks, and strategically guide the optimization for long-term reliability, scalability, and security, including the establishment and governance of agent behavior guardrails.

Executive Customer Relationship Management:

Serve as the primary front-facing contact for Agentforce deployments, building and nurturing strong, trust-based relationships with C-suite executives and key customer stakeholders. Act as a strategic partner, deeply understanding their operational challenges and strategic goals, and presenting proposals that drive measurable value and adoption.

AI Strategy & Responsible AI:

Lead discussions around Agentic AI strategy and roadmapping for customers. Drive the adoption of foundational Responsible AI principles, including risk mitigation, bias and toxicity testing, and the setup of robust guardrails to ensure ethical and safe AI usage.

Facilitation & Workshop Leadership:

Design and lead interactive facilitation and workshopping sessions, such as agent design workshops and jobs-to-be-done analysis, to collaboratively define optimal AI solutions and drive alignment across customer teams.

Conversation Design & User Experience:

Apply foundational Conversation Design skills to guide the creation of intuitive, effective, and user-centric conversational AI experiences.

Organizational Readiness & Change Management:

Assess customer organizational readiness for AI adoption and guide them through necessary process transformations and reengineering to maximize the benefits of intelligent agents.

Product Evolution & Strategic Feedback:

Serve as a vital feedback loop between customers and internal product/engineering teams. Field observations will directly influence future product enhancements, help shape the strategic direction of our platform, and contribute to broader scalable product improvements.

Required Qualifications

5+ years of experience in strategic solutioning and oversight of cloud-based technology deployments, with a proven tract record of leading successful, impactful enterprise-level projects

Experience leading and overseeing deployments of AI/LLM technologies, including end-to-end engagement management

Exceptional ability to confront open-ended problems in unstructured, ambiguous environments, demonstrating a curious, analytical, and solution-oriented approach

Demonstrated entrepreneurial spirit, a "get-things-done" attitude, and a relentless focus on fast delivery and measurable customer impact

Excellent collaboration and communication skills (written and verbal), with the ability to explain complex strategic and technical concepts to non-technical stakeholders and C-suite executives, and translate business needs into strategic requirements

Proven experience managing executive customer relationships in a strategic advisory or consulting role

Demonstrated AI consulting abilities from experience in conversation design, responsible AI practices, and prompt engineering

Ability to travel 25-50% of the time, as needed to customer sites

Preferred Qualifications

Understanding of the Salesforce platform and ecosystem

Experience with Salesforce Data Cloud and/or Agentforce platform

Experience developing conversational AI solutions within regulated industries or highly sensitive environments (e.g., healthcare, finance)

Salesforce platform certifications (e.g., Administrator, Data Cloud Consultant, Agentforce Specialist)

Knowledgeable across Salesforce CRM (Service, Sales, and Marketing Clouds)

Experience with AI/ML concepts beyond LLMs, such as natural language processing

Posting Statement & Accommodations Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. We offer a variety of benefits to help you live well including health, dental, vision, mental health support, parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. For disability accommodations in applying for open positions, please submit a request via the Accommodations Request Form.

Equal Opportunity & Salary Notices For New York-based roles, the base salary range is $200,800 to $384,100. For Colorado-based roles, $167,300 to $319,800. For Washington-based roles, $184,000 to $351,800. For Washington D.C. based roles, $184,000 to $351,800. For California-based roles, $200,800 to $384,100. For Illinois-based roles, $184,000 to $351,800. For Massachusetts-based roles, $184,000 to $351,800.

Job Function & Seniority

Seniority level: Not Applicable

Employment type: Full-time

Job function: Business Development and Sales

Industries: Software Development, IT Services and IT Consulting, and Technology, Information and Internet

Posting references and related job listings are included for candidate context in this refreshed description.

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