Software Engineering PMTS

Momentum
Momentum

Software Engineering

San Francisco, CA, USA

Posted on Oct 8, 2026
The Team

Our team owns the defensive security of Salesforce Database — the production database system behind Salesforce's cloud platform, including its storage layer, backup and restore systems, and telemetry and operational infrastructure — storing customer data at a scale and criticality that few systems in the world match.

AI has changed the threat landscape: agents opened new production entry points, automated adversarial attacks demand instant response, and vulnerabilities must be addressed in hours. We are building the next-generation defense system for that reality: detection, compliance enforcement, agent security guardrails, and vulnerability management — it runs continuously and acts without waiting on manual review. This role is core to that effort.

What You'll Do

You will own the design and hands-on implementation of security software that keeps SDB secure and compliant. Your work will span:
  • Designing security detection and enforcement software for large-scale production database systems
  • Building static and dynamic analysis pipelines for database vulnerability classes: SQL injection, privilege escalation, broken access control, and tenant-isolation breaches
  • Applying ML to anomaly detection: data exfiltration, insider threat, and unusual access to customer data
  • Building security guardrails for AI agents and LLMs operating on production databases: least-privilege configuration, scoped API access, sandbox isolation, and runtime behavioral monitoring
  • Shipping automation for real-time detection and response to fast, automated attacks
  • Driving vulnerability management and software composition analysis across the database platform
  • Partnering with database engineering teams to embed security into the platform, from design review through production rollout


What We're Looking For
  • Deep understanding of database security, including multi-tenant isolation, access control, and data governance
  • Experience leading threat modeling and architecture risk analysis for complex distributed database cloud environments
  • Expert-level design of consistent security policies across AWS and GCP, including mitigating provider-specific edge cases
  • Solid grasp of distributed systems and strong programming skills (Python / Rust / Go)
  • Hands-on experience building or improving security detection and enforcement software for large-scale production database systems
  • A track record of shipping and operating production software at scale, with a preference for direct delivery over writing specifications
  • Strong written and verbal communication skills; able to lead security discussions across engineering teams and gain buy-in without formal authority


This role requires 10+ years of professional experience. Experience with large-scale distributed databases or multi-tenant SaaS architectures is a strong plus.