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Job Category
Sales
Job Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. We empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Agentforce is Salesforce’s newest innovation—a next-generation platform that combines Data + AI + CRM + Trust to transform customer experiences. Our Agentforce specialist team is a startup within a global organization, dedicated to helping Salesforce customers and prospects design and implement cutting-edge solutions that deliver real business value. This innovative group partners closely with our Product, Product Marketing, Enablement, Customer Success, and Partner Ecosystem to drive growth and adoption of Agentforce.
About The Role
- As a Technical Architect, you’ll act as a trusted advisor to our customers, guiding them through emerging AI solutions and ensuring they realize the full value of the platform. You’ll combine deep technical domain expertise in AI/ML, data infrastructure, and CRM with strong presentation and solutioning skills. Working side by side with our Account Executives, Solutions Engineers, Product, and Product Marketing teams, you will:
- Provide technical leadership during pre-sales by assessing customer use cases, recommending solutions, and shaping the technical vision for Agentforce within their ecosystem.
- Champion standard methodologies around AI/ML (including agent-based models, predictive, and generative AI), data pipelines, and the Salesforce platform to drive innovation and customer adoption.
- Create and deliver relevant content—demos, videos, whitepapers, enablement sessions—to internal and external audiences, establishing yourself as a leader with vision for Agentforce.
If you are naturally curious about AI, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you!
Responsibilities
- Tackle sophisticated problems: research customer challenges, architect innovative AI/ML solutions, and drive key technical decisions.
- Drive adoption & value: facilitate partner alignment on high-impact use cases leveraging AI, data pipelines, and Agentforce.
- Showcase real-world solutions: partner with Sales and Solutions Engineering to build demos and prototypes that illustrate immediate ROI and practical use.
- Facilitate workshops & education: lead whiteboarding sessions, training, and workshops to help customers and internal teams understand AI opportunities and challenges.
- Develop cross-platform solutions: integrate data cloud, CRM, analytics tools, and cloud services into scalable architectures.
- Lead technical thought leadership: produce best-practice documentation, diagrams, and enablement materials highlighting emerging AI trends and Agentforce innovations.
Required Skills
- Technical pre-sales/consulting experience in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS.
- AI & ML expertise: experience with machine learning concepts (predictive and generative AI), and ability to communicate value to diverse audiences.
- CRM & data knowledge: familiarity with Salesforce CRM, modern data stacks, governance, security, and integration.
- REST APIs & SDKs: proven ability to leverage APIs and SDKs for building scalable solutions.
- Hands-on development: proficiency in programming (JavaScript, Python, SQL) or Salesforce development (Apex, Lightning Web Components, etc.).
- Excellent communication: strong presentation skills and ability to explain sophisticated ideas clearly.
- Curiosity & continuous learning: passion for exploring emerging AI research, frameworks, and experimenting with prompt engineering to drive innovation.
- Advanced English skills.
Preferred Skills
- Experience with Agentforce, Salesforce CRM, Data Cloud, or other Salesforce products.
- Knowledge of databases (Snowflake, Databricks), ETL processes, and cloud providers (AWS, Azure, GCP).
- Exposure to frameworks like TensorFlow, PyTorch, MLOps practices, and cloud AI platforms (Google Vertex AI, AWS Sagemaker). Hands-on experience with Generative AI, LLMs, agent-based frameworks, and prompt engineering.
Experience will be evaluated based on alignment with core proficiencies for the role, including extracurricular leadership roles, volunteer work, etc.
Benefits & Perks
- Comprehensive benefits including well-being reimbursement, parental leave, adoption assistance, fertility benefits, and more.
- World-class training via Trailhead.com
- Exposure to leadership and regular coaching
- Volunteer opportunities and community engagement
- More details at salesforcebenefits.com
In school or recent graduate? Visit FutureForce for opportunities.
Accommodations
If you require assistance due to a disability, please submit a request via the Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer committed to creating an inclusive, discrimination-free workplace. We evaluate all candidates based on merit, competence, and qualifications, regardless of protected characteristics.
Additional Information
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Engineering and IT
- Industries: Software, IT Services, Internet