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About the Role

Own the data and intelligence architecture for AgentExchange, the marketplace where partners list, sell, and operate Agentforce, MuleSoft, Tableau, and Slack solutions. You will be the most senior technical voice for data on the platform, consolidating fragmented pipelines into one trusted data platform and defining the LLM- and agent-native layer that turns marketplace data into intelligent experiences.

Responsibilities

End-to-end data architecture, including canonical data model, destination consolidation, telemetry taxonomy, and the 18-month roadmap for the AgentExchange data platform.
Pipelines and contracts, including streaming and batch ingestion, schema governance, data contracts enforced across every AgentExchange engineering team, and pipeline reliability SLOs.
Self-service analytics, including Partner Console, GMV / attrition / install / search dashboards, customer and partner effort scores.
ML platform, including feature store, training and serving infrastructure, evaluation, and monitoring.
LLM and agentic data layer architecture, including how agents access marketplace data safely.
Data security and governance, setting standards for PII handling, multi-tenant isolation, row- and column-level access, GDPR / CCPA, audit, and privacy posture.
Cross-org technical leadership, representing data in VAT and cross-org architecture reviews.
Migration leadership for data components of existing pipeline migration with zero disruption.
Mentorship, acting as the top technical sponsor for the Data Engineering & Analytics organization.

Requirements

12+ years in software / data engineering, including multi-year ownership of an enterprise-scale data or ML platform.
Deep architecture experience in at least three of: lakehouse / warehouse design, streaming + batch pipelines, dimensional and event modeling, feature stores, model serving.
Cloud-native data infrastructure experience (Snowflake, BigQuery, Redshift, or Databricks; AWS-based platforms).
LLM systems experience in production (RAG, embeddings and vector stores, prompt and context engineering, offline and online evaluation, cost and latency tuning, hallucination and safety controls).
Working knowledge of MCP or equivalent tool / agent protocols, and a clear point of view on exposing data to agents safely.
Data security and governance as a first-class skill (PII classification, multi-tenant isolation, fine-grained access control, GDPR / CCPA, lineage and audit, and the security implications of LLM / agent access patterns).
Track record representing a technical domain in cross-org architecture forums and influencing direction across teams you don't manage.
Executive communication skills.
A related technical degree required.

Skills

Data architecture
Data modeling
Streaming pipelines
Batch pipelines
Feature stores
Model serving
Cloud-native data infrastructure
LLM systems
RAG
Embeddings
Vector stores
Prompt engineering
Context engineering
Data security
Data governance
PII handling
Multi-tenant isolation
Row-level access
Column-level access
GDPR
CCPA
Audit
Privacy posture
Executive communication

Location

Select cities within the San Francisco and New York City metropolitan area

Work Type

In office expectations are 10 days/a quarter

Experience Level

12+ years

Education Level

A related technical degree required

Salary/Compensations

$218,400 - $365,200 annually
$263,200 - $401,400 annually

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
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.
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
At Salesforce, we believe in equality for all.
We believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.
It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.