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.

Requirements

A related technical degree required.
10+ years in engineering, with a significant focus on search technology, vector databases, data engineering, and AI/ML infrastructure.
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.).
Understanding of embedding models, LLM grounding techniques, and semantic layer construction.
Exceptional ability to communicate complex technical concepts (like vector similarity or RAG architecture) to non-technical stakeholders.
Proven experience managing engineering teams in a fast-paced, enterprise environment.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

search technologyvector databasesAI/ML infrastructuresearch indicesPythonJavaScalaSparkPandasPolars

Soft Skills

team leadershipmentoringcross-functional collaborationcommunicationstrategic visionoperational excellence

Certifications

related technical degree