Lead Data Engineer, Salesforce
Artificial Intelligence
$172.5-285.8k
Salary partially dependent on location. + ESPP
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$172.5-285.8k
Salary partially dependent on location. + ESPP
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 8+ years of experience in data engineering or a closely related role
- Proficiency in Python, SQL, and distributed processing frameworks (e.g., Spark)
- Hands-on experience with ETL/ELT tools such as Airflow, dbt, or Informatica
- Strong foundation in data modeling, database concepts, and data warehousing (SQL and NoSQL)
- Experience with cloud data platforms (AWS, Azure, or Google Cloud)
- Experience with the Salesforce ecosystem, including Data Cloud
- Proven ability to communicate technical concepts clearly and collaborate across cross-functional teams
- A related technical degree required
Desirable
- Experience building semantic search indices, embedding pipelines, or retrieval-augmented generation (RAG) systems
- Familiarity with vector databases and AI/ML infrastructure
- Experience supporting or partnering with Decision Science or Data Science teams on causal or attribution modeling
- Track record of mentoring engineers and driving technical standards at a team or org level
What the job involves
- Salesforce is looking for a Data Engineer to join the Data & Analytics organization and help power the future of intelligent, agentic Customer Success
- In this role, you'll build and scale the data infrastructure that grounds our AI agents in accurate, real-time, high-context data — bridging raw data systems with the agentic layer driving business impact
- You'll serve as the lead technical individual contributor and primary architect for our retrieval systems, partnering across engineering, data science, and product to define and execute the technical vision for agentic data delivery
- Design Search & Retrieval Systems — Build robust search indices that enable AI agents to perform complex, high-precision retrievals across the Salesforce data ecosystem
- Architect the Agentic Retrieval Layer — Serve as primary architect for the semantic layer and embedding pipelines that ground Agentic AI in Customer Success data
- Build Inference Infrastructure — Partner with Decision Scientists to develop specialized infrastructure for attribution and causal modeling
- Drive Operational Excellence — Set and enforce rigorous standards for data quality, latency, and index freshness so agents deliver reliable, real-time insights
- Lead AI Integration & Automation — Automate the data delivery pipeline, ensuring seamless integration across internal databases, third-party APIs, and the AI orchestration layer
- Define the Technical Roadmap — Collaborate with product managers and engineering leaders to shape the long-term vision for agentic retrieval, aligned with the broader migration to Data Cloud
- Mentor & Elevate the Team — Act as a technical pillar for a specialized team of data and AI engineers, fostering a culture of technical excellence and continuous growth
- Enable Cross-Functional Impact — Translate complex business needs from Decision Scientists, Data Scientists, PMs, and Engineering Leaders into scalable, production-ready solutions
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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