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Job Category
Software Engineering
Job Details
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. The world of work as we know it is changing and 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.
Job Overview 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. Your primary mission is to partner with our most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards. By building robust semantic data models on top of the Salesforce Data360 and incorporating Agentforce topics and actions, you will transform raw data into actionable, conversational insights. You will not only ensure the technical success of these initial launches but also channel critical feedback from the field to our product teams, directly shaping the future of enterprise scale agentic analytics.
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 the customer’s 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), RAG (Retrieval-Augmented Generation), 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. Uses ai on a daily basis to manage and **
- 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
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
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We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.