Software Engineering SMTS, Brain Team

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$148,500–$223,900 / yr
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $186k
$136k $267k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $174,212–$233,687 — the blue band above. At the midpoint, this role pays about $186k versus about $204k 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 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Software Engineering SMTS, Brain Team

Software Engineering SMTS - Brain Team (REMOTE) The Software Engineering SMTS - Brain Team member joins the Brain team to develop the intelligence layer for Piper, a flagship AI SDR product. You will build and maintain agents that qualify leads and book meetings by managing system prompts, model configurations, context layers, and evals. Your daily work involves collaborating with product teams to integrate CRM data and guardrails into multi-modal AI experiences while working with platform teams to build LLM evals measuring response quality and business outcomes. You must possess full-stack fundamentals, proficiency in frontend and backend development, and knowledge of agent building blocks like traces, tokens, and reasoning tradeoffs. The role requires solving complex system design challenges within a high-velocity environment to deliver reliable, real-time text-based LLM products for enterprise sales and marketing workflows.

What you'll do

  • Build and maintain the agents that power the Piper AI SDR product.
  • Own the system prompts, model configurations, context layers, and evals for AI agents.
  • Develop features that integrate customer GTM strategies, CRM data, and guardrails into personalized AI experiences.
  • Build and maintain LLM evals to measure response quality and business outcomes like lead conversion.
  • Execute end-to-end ownership of features from initial scoping and implementation to deployment and monitoring.
  • Make architectural decisions and solve complex system design challenges for the intelligence layer.
  • Troubleshoot LLM responses by identifying issues within traces and optimizing reasoning tradeoffs.
  • Collaborate with product and AI platform teams to translate customer needs into reliable software.

What we're looking for

  • Minimum of 5 years of experience working in product engineering or related fields.
  • Strong full-stack fundamentals and proficiency in frontend and backend development.
  • Ability to work independently and own ideas from scoping through production.
  • Experience shipping real-time and text-based LLM products (preferred).
  • Familiarity with Rails and React (preferred).
  • Understanding of agent fundamentals including traces, context, tokens, system prompts, and reasoning tradeoffs.
  • Hands-on work with an LLM observability system or building an eval system (preferred).
  • Experience building software for marketing, sales, or go-to-market teams (preferred).

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