Salesforce · 16 hours ago
Director, Engineering - Agentic Search & AI Components
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The company is seeking an innovative Engineering Leader to spearhead the development of high-performance search indices and AI components, ensuring accurate and real-time data for AI agents. This role involves leading a specialized team of engineers and collaborating across functions to create scalable technical solutions.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
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
Qualification
Required
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
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
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