Director, Engineering - Agentic Search & AI Components

Salesforce•San Francisco, CA

About The Position

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. We are seeking an innovative and technically grounded Engineering Leader to spearhead the development of high-performance search indices and AI components. In this role, you will be the primary architect for the retrieval layer of our Agentic AI ecosystem, ensuring that our AI agents are grounded in accurate, real-time, and high-context data. You will lead a specialized team of engineers to bridge the gap between raw data infrastructure and the intelligent, agentic systems that drive Customer Success.

Requirements

A related technical degree required.
Professional Experience: 10+ years in engineering, with a significant focus on search technology, vector databases, data engineering, and AI/ML infrastructure.
Technical Proficiency: Deep expertise in Search Indices (e.g., Pinecone, Milvus, Redis).
Experience with Workflow Orchestration tools like Airflow or dbt.
Strong programming skills in Python, Java, or Scala, and experience with data frameworks like Spark and Pandas/Polars.
Hands-on experience with Cloud Platforms (AWS, Azure) and modern data warehousing (BigQuery, Redshift, Data Cloud).
Hands-on experience with the Salesforce ecosystem (Data360, Agentforce, Service Cloud, etc.).
AI & Data Science Domain Knowledge: Understanding of embedding models, LLM grounding techniques, and semantic layer construction.
Soft Skills: Exceptional ability to communicate complex technical concepts (like vector similarity or RAG architecture) to non-technical stakeholders.
Leadership Track Record: Proven experience managing engineering teams in a fast-paced, enterprise environment.

Responsibilities

Architect Search & Retrieval Systems: Design and implement robust search indices that enable AI agents to perform complex retrievals across the Salesforce data ecosystem.
Lead AI Component Development: Oversee the creation of the semantic layer and embedding pipelines necessary for grounding Agentic AI in Customer Success data.
Team Leadership: Lead, mentor, and manage a high-performing team of data and AI engineers, fostering technical excellence and career growth.
Strategic Roadmap: In partnership with product managers, define the technical vision for agentic retrieval, aligning search strategy with the broader migration to Data Cloud and the evolution of AI-driven personalized engagements.
Operational Excellence: Establish rigorous standards for data quality, latency, and index freshness to ensure agents provide reliable, real-time insights.
Cross-Functional Collaboration: Partner with Data Scientists, Product Managers, and the other engineering leaders to translate complex business needs into scalable technical solutions.
AI Integration & Automation: Lead efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer.