Principal Technical Pre-Sales Architect - Agentforce (Basé à London)

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London
2 months ago
Applications closed

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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 pioneering 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.

Role Description

As anAgentforce Technical Pre-Sales Architect, you’ll act as a trusted advisor to our customers, guiding them through theemerging AI solutionsand ensuring they realize the full value of the platform. You’ll combine deeptechnical domain expertisein 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 leadershipduring pre-sales by assessing customer use cases, recommending optimal solutions, and shaping the overall technical vision for Agentforce within their ecosystem.

  • Champion standard methodologiesaround AI/ML (including agent-based models, predictive, and generative AI), data pipelines, and the Salesforce platform to drive innovation and customer adoption.

  • Create and deliverrelevant content—demos, videos, whitepapers, enablement sessions—to both internal and external audiences, establishing yourself as a leader with vision for Agentforce.


If you arenaturally curiousabout AI, love diving into new technologies, and enjoyeducatingothers 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 customer alignment on high-impact use cases that leverage AI, data pipelines, and Agentforce.

  • Showcase Real-World Solutions:Partner with Sales and Solutions Engineering to build compelling demos and prototypes that illustrate immediate return on investment and practical use.

  • Facilitate Workshops & Education: Lead whiteboarding sessions, training, and hands-on 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 (REST APIs, SDKs, data pipelines) into scalable, cohesive architectures.

  • Lead Technical Thought Leadership: Produce best-practice documentation, architectural diagrams, and enablement materials that highlight emerging AI trends and Agentforce innovations.

Requirements

  • Technical Pre-Sales/Consulting: Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS.

  • AI & ML Expertise: Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.

  • CRM & Data Knowledge: Familiarity with Salesforce CRM and modern data stacks; comfortable discussing governance, security, and integration.

  • REST APIs & SDKs: Confirmed ability to demonstrate APIs and SDKs to build robust, scalable solutions.

  • Hands-On Development: Proficiency in programming (e.g., JavaScript, Python, SQL) or Salesforce development (Apex, Lightning Web Components, etc.).

  • Excellent Communication: Strong presentation skills; adept at explaining sophisticated ideas and guiding customers toward impactful solutions.

  • Curiosity & Continuous Learning: Passion for exploring emerging AI research, frameworks, sharing insights, and experimenting with pioneering technologies. Actively stays up to date onnew LLM modelsandagentic approaches, experimenting withprompt engineeringto drive innovation.

Preferred Requirements

  • Agentforce or Salesforce CRM: Experience with Agentforce, Data Cloud, or Salesforce products (Sales Cloud, Service Cloud, Heroku).

  • Data & Cloud Platforms: Familiarity with databases (Snowflake, Databricks), ETL processes, and cloud providers (AWS, Azure, GCP).

  • Sophisticated AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, andcloud AI platforms(e.g.,Google Vertex AI,AWS Sagemaker). Hands-on work withGenerative AI,Large Language Models (LLMs),agent-based frameworks, andprompt engineering.

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