Salesforce is looking to build the next generation of Conversational Analytics by integrating Salesforce Data 360 with LLM and agentic technologies to create intelligent, context-aware analytics experiences powered by AI.
Requirements
- Proven record of building and shipping products that use machine learning or LLMs to enhance user experiences.
- Deep understanding of semantic layers, NL-to-SQL, and data reasoning systems.
- Familiarity with agentic frameworks (LangChain, DSPy, or custom orchestration engines).
- Strong technical foundation across data pipelines, visualization platforms, and cloud-scale systems.
Responsibilities
- Partner with Waii.ai teams to design and integrate agentic workflows that enable seamless question answering, metric reasoning, and proactive insights.
- Define end-to-end user experiences that bridge semantic models, query understanding, and visual storytelling.
- Collaborate closely with engineering and research teams to operationalize LLM frameworks, context injection pipelines, and evaluation methodologies for quality and accuracy.
- Champion LLM quality, performance, and trust metrics—covering latency, accuracy, and user satisfaction.
- Drive architectural decisions on how deterministic and non-deterministic systems (SQL engines, LLMs, agents) interoperate.
- Accelerate adoption of agentic analytics across surfaces (Slack, Lightning, Mobile).
Other
- Leading cross-functional engineering teams (typically 50+ engineers across multiple teams)
- Mentor cross-functional teams, foster a culture of innovation
- 10+ years of experience in product or engineering leadership, ideally in analytics, AI, or enterprise software.
- Excellent communication and storytelling skills—able to align executives, researchers, and engineers around a shared vision.
- Passion for making data accessible through conversation, context, and intelligence.
