Software Engineering PMTS (Data Platform)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Software Engineering PMTS (Data Platform): Designing and consolidating the data and intelligence architecture for AgentExchange to enable partner analytics and ML-powered signals with an accent on LLM-native data layers and cross-org technical strategy. Focus on building a unified analytics destination, architecting MCP-based agentic data access, and implementing robust data security for multi-tenant AI experiences.
Location: Hybrid (San Francisco, CA or Seattle, WA). In-office expectations are 10 days per quarter.
Salary: $197,300 – $344,700 annually
Company
(a Salesforce company) provides a cloud platform for deploying and scaling applications.
What you will do
- Define the end-to-end data architecture and 18-month roadmap for the AgentExchange data platform.
- Architect the LLM and agent-native layer, including MCP servers and RAG strategies for marketplace data.
- Build streaming and batch ingestion pipelines with enforced data contracts and reliability SLOs.
- Develop self-service analytics and ML platforms, including feature stores and lead scoring models.
- Ensure high standards for data security, PII handling, and GDPR/CCPA compliance.
- Provide technical leadership in cross-org architecture reviews and mentor senior ICs.
Requirements
- 10+ years of experience in software or data engineering with ownership of enterprise-scale platforms.
- Expertise in lakehouse/warehouse design, streaming/batch pipelines, and dimensional modeling.
- Proficiency with cloud-native infrastructure (Snowflake, BigQuery, Redshift, or Databricks) on AWS.
- Production experience with LLM systems (RAG, vector stores, prompt engineering, and safety controls).
- Deep knowledge of data security, multi-tenant isolation, and fine-grained access control.
- Must be based in or able to work from San Francisco, CA or Seattle, WA.
Nice to have
- Experience with Salesforce Data 360, Tableau Next, Slack, or MuleSoft.
- Background in marketplace or e-commerce data (GMV, conversion funnels).
- Experience leading large-scale migrations (e.g., to cloud-native).
- Knowledge of privacy-preserving ML or LLM observability frameworks.
Culture & Benefits
- Competitive annual base salary and potential for bonuses and equity.
- Comprehensive medical, dental, and vision insurance.
- 401(k) and employee stock purchasing program.
- Paid parental leave and mental health support.
- Flexible hybrid work model (10 days per quarter in office).
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