Software Engineering SMTS – Brain Team

Salesforce

. Build products and features enabling customers to combine GTM strategy, CRM data, and guardrails .

Posted 10/15/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $178,900 - $246,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining AI-driven products, with a strong focus on full-stack development, LLM evaluations, and customer-centric design. Proven ability to lead initiatives from conception to execution while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Full-Stack DevelopmentLLM EvaluationsAgent FundamentalsSalesforce IntegrationProduct Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Frontend DevelopmentBackend DevelopmentSystem DesignTroubleshooting LLM ResponsesModel ConfigurationPerformance MonitoringUser Experience DesignCode ReviewsAgile MethodologiesData Analysis

Soft Skills

Independent WorkCollaborationProblem SolvingCustomer UnderstandingInitiative Ownership

Tools & Technologies

SalesforceReactRailsLLM Observability SystemsCRM Platforms

Industry Keywords

GTM StrategyAI SDRLead ConversionPipeline GenerationMarketing Software

Tech Stack

Tools & technologies

ReactRuby on Rails

About the role

Key responsibilities & impact

Build products and features enabling customers to combine GTM strategy, CRM data, and guardrails
Deliver on-brand, personalized, multimodal AI SDR agent experiences across websites and email
Build, maintain, and upgrade agents powering Piper, Salesforce’s AI SDR product
Own system prompts, model configuration, context layer, evaluations, and the supporting harness
Build and maintain LLM evaluations measuring Piper’s health and response quality
Ensure agent changes contribute to business outcomes such as lead conversion, meeting booking, and pipeline generation
Collaborate closely with product teams and AI platform teams
Own significant initiatives end to end, from retrieval and model providers to agent orchestration
Make architecture decisions and solve system design challenges
Ship, monitor, and iteratively improve customer-facing software
Contribute to code reviews, engineering standards, performance, reliability, and user experience

Requirements

What you’ll need

Minimum of 5 years of experience working in product engineering or related fields
Deep understanding of customers’ needs and translating them into product experiences
Strong full-stack fundamentals
Proficiency in frontend and backend development
Ability to work independently and engage with product and domain experts
Ability to 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 issue sources in traces
Understanding of strengths and weaknesses of different frontier models
Experience with LLM observability systems or eval systems is a plus
Experience building software for marketing, sales, or go-to-market teams is a plus
Experience integrating with Salesforce and other CRM platforms is a plus
Rails and React familiarity is a bonus
Experience shipping real-time and text-based LLM products is nice to have
Startup experience and rapid shipping experience are nice to have

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles
Reasonable accommodation during the application or recruiting process