Salesforce
Analytics Forward Deployed Engineer Principal
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Analytics Forward Deployed Engineer Principal
Forward Deployed Engineer – Agentic Analytics
Job Category: Software Engineering
About Salesforce
Salesforce is the #1 AI Customer Relationship Management (CRM) system, empowering teams of agents to drive customer success. Combining ambition with innovation, we shape the future of work—where AI meets trust, and technological progress becomes a way of life. Enter a world where Agentforce, our cutting-edge AI platform, defines the next frontier of CRM, and your impact could define its direction.
Job Overview
We are searching for a forward-deployed architect to lead the implementation of Agentic Analytics across Salesforce’s Tableau Next, Cloud, and Server platforms. This high-impact, cross-functional role demands bridging product innovation with customer success. You will:
- Consider Salesforce’s most strategic customers to architect and deploy their first agentic analytics use cases, dashboards, and metrics.
- Build intelligent semantic data models on Salesforce Data360, embedding Agentforce topics and actions to democratize insights.
- Convert raw data into conversational, actionable intelligence while acting as a clearinghouse for feedback to product teams, directly influencing future product development.
Serving as a technical innovator and bridge between data engineering, AI, and end-client stakeholders, you’ll ensure seamless deployments while driving the future of AI in enterprise analytics.
Key Responsibilities
End-to-End Agentic Analytics Development
- Architect conversational agents tailored for accuracy, minimal latency, and high relevance.
- Construct semantic data layers atop Data360, enabling AI agents to create visualized, accessible insights.
Democratize AI – from “Zero to One”
- Deploy rapid prototypes to accelerate customer time-to-value across business-sensitive integrations.
- Zero in on pain points: Solve customer-specific challenges with advanced data modeling and pipeline engineering.
- Ensure seamless data unification: Ingest, refine, and structure structured + unstructured data into the Data360 ecosystem.
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Round-Trip Communication Between Customer & Product
- Collaborate directly with Product Management to translate live adoption feedback into a roadmap.
- Champion cross-platform consistency by designing for scalability while remaining customer-first.
Customer Ownership & Longevity
- Conduct knowledge transfer sessions to equip customer teams with independent governance of agents and models.
- Continuously refine models in post-implementation support, mitigation of edge cases (e.g., misinformation), and performance profiling.
Required Qualifications
- 7+ years of hands-on experience in data engineering, ETLS/analytics stacks, or software architecture, with customer-facing results.
- Proven semantic data layer expertise including:
- Relational modeling, semantic layers (e.g., Metabase, Jedox), ontology design, or similar.
- Apache Spark/Pandas/SQL proficiency in data transformation for enterprise-scale queries.
- Foundation in conversational AI:
- Hands-on experience with LLMs (Generative AI), RAG, or agentic workflows (e.g., Langchain, AgentSmith).
- Usage of AI tools for rapid prototyping (e.g.,Productivity Agents, debug endorsed AI for production-grade monitoring).
- Parallel problem-solving in ambiguous contexts:
- Proven record of self-timing toward company OKRs in dynamic customer settings.
- Communication aligning non-technical business programs with AI bias/reliability.
- Technical API/ETL skill: Python + pipeline automation (Spark, Airflow, DBT) from raw to redshift/greenplum.
Preferred Qualifications
- Proven structured experience with Tableau or equivalent BI platforms (e.g., Power BI integration, LOD expressions).
- Familiarity with Salesforce-native ecosystems (Cloud/Server) + Salesforce Agentforce/Einstein capabilities.
- Roadmap of enterprise insights APIs: Propensity to engage with Tokenized API integrations (MuleSoft, Postman) for cross-departmental collaborations.
- Experience in high-touch pilot teams: Proven deployment of forward-deployed personas, operating as a Customer-Solutions Architect.
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Compensation & Benefits
Join Salesforce and:
- Make history with AI: Shape CRM transformation at scale, rooting generative analytics in your daily practice.
- Carry a futuristic portfolio – from inception to production and Meta-Intelligence proved across agentic analytics.
- Work with an IT ecosystem of Trailblazers committed to *not just shipping features, but proving their potential.
- Align your business currency into your work: enjoy Educational Reimbursement, Wellbeing Programs, and real policy therearound.
Accommodations & Diversity Equity Guarantee
Salesforce complies with UK’s Disability Confident agreement, and will offer interviews to qualified disabled applicants. Request reasonable adjustments via our Accommodations Portal.
For other accommodation needs—applicants can signal preferences directly in their application.
Candidate Commitment Declaration
Salesforce uses AI-driven resume screening to shorten review time, with human oversight retaining final talent decisions. For more on privacy and data control in AI-processed applications, see here:** Candidate Privacy ([ opt-out link/harness disclosure ]).
Equality and Fair Hiring
Salesforce pledges zero discrimination in recruitment hiring, promotion, benefits, or training. All candidates are assessed on merit, skills, alignment to objectives—regardless of protected characteristics. (For UK-occurrence details review required candidates’ inclusion rights; confirm competitive & inclusive assessments portfolio under amendment protocols for transparency—Table by “Equal Treatment.”)
Ready to harness Agentforce of the future? Apply today to shape the AI-powered enterprise. Be:** The missing link between agentic innovation, tomorrow’s tech adoption, and the technical cultures embodying it.
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