Software Engineering SMTS - Brain Team (REMOTE)

Salesforce•San Francisco, CA

2d•$148,500 - $246,000•Remote

About The Position

The Brain team owns the intelligence layer behind Piper, Qualified’s flagship AI SDR product for qualifying leads and booking meetings. The team builds, maintains, and upgrades the agents that power Piper, including its system prompts, model configuration, context layer, evaluations, and supporting harness. In this role, you will work with product teams to build features that combine customers’ go-to-market strategies, CRM data, and guardrails into on-brand, personalized, multimodal AI SDR experiences for websites and email. You will also partner with AI platform teams to build and maintain LLM evaluations that measure Piper’s health and response quality, and assess whether changes contribute to outcomes such as lead conversion, meeting bookings, and pipeline growth. The position offers end-to-end ownership of engineering work, from scoping and implementation through testing, deployment, monitoring, and iterative improvement. Engineers contribute to architecture and system design while working in a startup-paced environment backed by Salesforce.

Requirements

At least 5 years of experience in product engineering or a related field.
Strong full-stack fundamentals and proficiency in frontend and backend development.
Customer-centric approach and ability to translate customer needs and preferences into product experiences and agent success criteria.
Ability to work independently, collaborate with product and domain experts, identify gaps, and own ideas through production.
Understanding of agent fundamentals, including traces, context and tokens, tools, system prompts, models, latency and reasoning tradeoffs, and MCP.
Ability to troubleshoot LLM responses and identify issues using traces.
Knowledge of the strengths and weaknesses of different frontier models and an understanding of what agents are and are not suited to do.

Nice To Haves

Experience shipping real-time and text-based LLM products.
Familiarity with Rails and React; the team is language-agnostic.
Hands-on experience with an LLM observability system or building or contributing to an evaluation system.
Comfort building alongside agents and using coding agents effectively, including recognizing and improving low-quality agent-generated code and writing, automating repetitive tasks, and handling large tasks.
Experience building software for marketing, sales, or go-to-market teams, particularly integrations with Salesforce and other CRM platforms.
Understanding of customer data, lead qualification, routing, and sales workflows, and ability to translate that understanding into reliable product experiences.
Startup experience and rapid shipping.

Responsibilities

Build products and features that bring customers’ go-to-market strategies, CRM data, and guardrails together for personalized, on-brand, multimodal AI SDR experiences across websites and email.
Partner with AI platform teams to build and maintain LLM evaluations measuring Piper’s health and response quality.
Evaluate whether agent and product changes contribute to business outcomes, including lead conversion, meeting bookings, and pipeline growth.
Build, maintain, and upgrade Piper’s agents and the supporting intelligence layer, including prompts, model configuration, context, evaluations, and harnesses.
Own engineering work end to end, including scoping, implementation, testing, deployment, monitoring, and improvement based on customer feedback.
Contribute to architecture decisions and system design, and collaborate through code review and engineering practices focused on craft, performance, reliability, and user experience.