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Software Engineering PMTS (Data Platform)

16 442 - 28 725$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global (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., hirify.global 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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