Software Engineering PMTS
US$197,500 – US$344,500 / yr base salary
Posted 3 Aug 2026
Advertised as “Software Engineering PMTS - Data Platform”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$197,500 – US$344,500 / yr |
|---|
Study levelBachelor's
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. 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.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Own the data and intelligence architecture for AgentExchange — the marketplace where partners list, sell, and operate Agentforce, MuleSoft, Tableau, and Slack solutions. You are the most senior technical voice for data on the platform.
About the Team
The AgentExchange Data Services team owns the data infrastructure, telemetry pipelines, marketplace measurement framework, partner analytics platform, and the ML-powered signals that give partners, customers, and Salesforce leadership real-time visibility into how the ecosystem is performing. The team owns product telemetry, self-service metrics, GMV and attrition models, NPS and effort-score measurement, and the Lead Scoring Model for AgentX partners.
Why This Role Exists
AgentExchange runs on telemetry, partner analytics, and ML signals — and today they live in fragmented pipelines and destinations. We need an architect to consolidate them into one trusted data platform, define the contracts every team builds to, and architect the LLM- and agent-native layer that turns marketplace data into intelligent experiences for partners, customers, and Salesforce leadership.
This is a role at the intersection of architecture, strategy, and execution. You will engage with executive stakeholders, represent the data platform in cross-org architecture reviews (VAT), and set the long-term technical direction every data engineer and ML practitioner on the team works toward.
What You'll Own
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End-to-end data architecture. Canonical data model, destination consolidation, telemetry taxonomy, and the 18-month roadmap for the AgentExchange data platform.
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Pipelines and contracts. Streaming and batch ingestion, schema governance, data contracts enforced across every AgentExchange engineering team, and pipeline reliability SLOs.