AI Builder Partner Solutions

Salesforce

. Build Inside the Sales Cycle .

Posted 5/19/2026full-timeRemote • California, Illinois, Massachusetts, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $150,100 - $227,000 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Build Inside the Sales Cycle
Implement working Agentforce/Salesforce solution artifacts for the partner teams to use with the customer during qualification, shaping, and decision phases.
Build with production-mindset for implementations that handle enterprise requirements such as identity, permissions, governed actions, observability, retrieval quality, and evaluation coverage.
Create reusable accelerators that travel beyond the engagement: packaged metadata, deployment scripts, install guides, sample data, and test cases.
Pair directly with partner engineers and customer technical teams to debug, refactor, and harden the implementation in proof-of-concepts & pilots.
Make the Work Travel
Produce clear walkthrough artifacts that increase Agentforce credibility and reuse: READMEs, partner delivery kits, technical posts, and recorded implementation walkthroughs.
Present working implementations to experienced engineering audiences and translate fluently between technical and business stakeholders.
Deliver live technical sessions or co-builds with partner engineering teams that produce reusable artifacts or change their implementation approach.
Make ambiguous technical problems feel tractable through clarity and hands-on proof.
Build in Public
Build reusable assets that earn trust before the meeting starts: published implementations, technical posts, GitHub repos, accelerators, and field-ready walkthroughs.
Help Salesforce earn relevance in AI and data conversations where partner teams already have strong opinions and competing options.
Represent Salesforce engineering credibility in partner forums, technical sessions, and enablement moments where working proof matters.
Turn Field Work Into Scale
Turn repeatable field patterns into accelerators, solution assets, and Partner FDE Network resources.
Surface product friction, missing capabilities, and field-proven workarounds back to Agentforce, Data Cloud, MuleSoft, and Slack product and engineering teams.

Requirements

What you’ll need

Hands-on experience building on Salesforce platform: Agentforce, Flow, Apex, Lightning Web Components, APIs, permissions, metadata, packaging, and deployment patterns.
Practical experience building LLM-powered applications: prompt design, context engineering, retrieval and RAG, tool calling and actions, evaluation, and debugging agent behavior.
Hands-on experience with agentic coding tools as a core part of your daily engineering workflow: Claude Code, Cursor, GitHub Copilot, Windsurf, Codex, or equivalent.
Comfortable building from day 1 in new environments.
Experience integrating enterprise systems through APIs, middleware, MuleSoft, Data Cloud, Slack, or equivalent technologies.
Comfortable across at least one of Python, TypeScript, JavaScript, Apex, or Java, and comfortable with GitHub-based development workflows.

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills & Tools

SalesforceAgentforceFlowApexLightning Web ComponentsAPIsmetadatapackagingdeployment patternsLLM-powered applications

Soft Skills

communicationcollaborationproblem-solvingpresentationdebuggingclarityadaptabilitytechnical translationtrust-buildinghands-on approach