Director of Engineering, Salesforce
Agentic Search & AI Components
$237.7-344.7k
World's leading CRM provider
Open for applications
World's leading CRM provider
1001+ employees
Open for applications
$237.7-344.7k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- You will play a pivotal role in building out Salesforce as an Agentic Enterprise. By building the components that power our agents, you are directly responsible for the operational efficiency and success of our internal stakeholders and global customers
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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