Analytics Forward Deployed Engineer Principal in London

We are seeking a strategic and technical Forward Deployed Engineer to lead the implementation of our newest innovations in Agentic Analytics across Tableau Next, Cloud and Server. In this high-impact role, you will bridge the gap between product and customer success by partnering with our most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards.

Key Responsibilities

• Architect and Deploy Conversational Agents: Lead the end-to-end technical design and build of bespoke conversational analytics agents, ensuring they are optimized for accuracy, latency, and user relevance.
• Design Semantic Data Models: Construct and refine complex semantic data layers within Salesforce Data360 to ensure the AI agent can accurately interpret, query, and visualize enterprise data structure.
• Accelerate Customer Time-to-Value: Act as the primary technical builder during the implementation phase, rapidly prototyping and iterating on solutions to solve customers’ specific business questions (“Zero to One” builds).
• Integrate Disparate Data Sources: Engineer scalable data pipelines to ingest, clean, and unify structured and unstructured data from various sources into the Data360 lakehouse environment and canonical model.
• Bridge the Product-Customer Gap: Serve as the technical voice of the customer; document implementation friction points and collaborate with Product Management and Engineering to prioritize feature enhancements and roadmap items.
• Enable Customer Self-Sufficiency: Conduct technical hand-offs and mentoring sessions with customer data teams to ensure they can maintain, tune, and expand the semantic models and agents after the initial engagement.
• Troubleshoot Complex Architectures: Perform deep-dive root cause analysis on performance bottlenecks, hallucinations, or data modeling errors to ensure a reliable production-grade experience.

Required Qualifications

• Professional Experience: 7+ years of technical experience in data engineering, analytics implementation, or software development, with a focus on customer-facing delivery.
• Data Lakehouse Proficiency: Strong hands-on experience with modern data architectures and SQL, specifically regarding data modeling and schema design.
• AI & NLP Fundamentals: Practical experience building or deploying solutions that utilize Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or conversational AI frameworks.
• Semantic Modeling: A solid understanding of how to map business logic to physical data (semantic layers, ontologies, or metrics layers).
• Programming Skills: Proficiency in Python for data manipulation and scripting; familiarity with API integrations.
• AI Native: Demonstrated ability to utilize AI coding and agentic harnesses to effect speedy iterative development and implementation of simple to complex prototypes and integrations.
• Problem-Solving Agility: Demonstrated ability to navigate ambiguity and solve novel technical challenges in fast-paced, live customer environments.
• Communication: Exceptional ability to translate complex technical concepts for non-technical business stakeholders and executive leadership.

Preferred Qualifications

• Experience with Tableau and similar BI platforms, specifically regarding data source integration, calculation syntax and dashboard design.
• Familiarity with the Salesforce Ecosystem (Agentforce, Data Cloud, Einstein, Apex).
• Experience architecting or implementing system automations and integrations via iPaaS or API gateways.
• Experience in a “Forward Deployed” or “Solution Architecture” role at an enterprise software company.

Benefits

Salesforce offers a comprehensive benefits package, including health, dental and vision coverage, paid time off, and opportunities for professional development to support your work-life balance and career growth.

Equal Opportunity

Salesforce is an equal-opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. All hiring decisions are based on merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, disability, veteran status, marital status, political viewpoint, or other legally protected classifications.