Software Engineering PMTS

Salesforce

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $197,300–$313,700 / yr
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $256k

$125k most similar roles pay here $334k

This role pays more than 90% of similar roles. Most pay $169,550–$223,768 — the shaded band above. At the midpoint, this role pays about $256k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 106 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 98 roles with salary data.

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At a glance

TL;DR · Software Engineering PMTS

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As a Software Engineering PMTS, you will join the team responsible for the defensive security of the Salesforce Database, which includes the storage layer, backup systems, and operational infrastructure. You will own the design and hands-on implementation of security software to ensure compliance and protection against automated attacks and AI-driven threats. Your daily work involves building detection and enforcement tools, creating static and dynamic analysis pipelines for vulnerabilities like SQL injection, and applying machine learning for anomaly detection regarding data exfiltration. You will also develop security guardrails for LLMs and AI agents operating on production databases. The role requires expertise in multi-tenant isolation, distributed systems, and programming in Python, Rust, or Go. You will partner with engineering teams to integrate security into the platform from design through production rollout across AWS and GCP environments.

Skills

Database Security Python Rust Go AWS GCP SQL Distributed Systems Dynamic Analysis Threat Modeling Data Governance

What you'll do

Design and implement security detection and enforcement software for large-scale production database systems.
Build static and dynamic analysis pipelines to identify vulnerabilities like SQL injection and privilege escalation.
Apply machine learning models to detect anomalies such as data exfiltration and insider threats.
Develop security guardrails for AI agents and LLMs, including least-privilege configurations and runtime monitoring.
Ship automation for real-time detection and response to fast, automated cyberattacks.
Manage vulnerability discovery and software composition analysis across the database platform.
Partner with engineering teams to embed security into the product from design through production rollout.

What we're looking for

This role requires 10+ years of professional experience.
Candidates must have a deep understanding of database security, including multi-tenant isolation, access control, and data governance.
Experience is required in leading threat modeling and architecture risk analysis for complex distributed database cloud environments.
Candidates must be able to design consistent security policies across AWS and GCP platforms.
Proficiency in programming languages such as Python, Rust, or Go is required.
Hands-on experience building or improving security detection and enforcement software for large-scale production database systems is required.
Experience with large-scale distributed databases or multi-tenant SaaS architectures is a strong plus.
Strong written and verbal communication skills are required to lead security discussions across engineering teams.

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