[Hiring] AI Builder Partner Solutions @Salesforce

Role Description

This role engages before the buying decision is made, building working solutions against real customer challenges alongside the partners who will deliver them. You are a builder with a voice, shipping working things and explaining them in a way that makes others more confident and capable.

This is a hands-on builder role. You create technical solution patterns and POCs for live partner and customer environments, always learning what works and what can be made into reusable assets the broader field can extend.

• Implement working Agentforce/Salesforce solution artifacts for partner teams during qualification, shaping, and decision phases.
• Build with a 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.
• 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.
• 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.
• 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.

Qualifications

• 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.

Requirements

• Low-ego, partner-empathetic collaboration.
• High agency; you take ambiguous problems, create a working path, and bring others with you.
• Bias to ship; you know when "good enough to learn from" is right and when production readiness matters.
• Fluent across audiences; you move between partner technical leaders, developers, and business stakeholders without losing precision.

Benefits

• Time off programs.
• Medical, dental, vision, mental health support.
• Paid parental leave.
• Life and disability insurance.
• 401(k) and employee stock purchasing program.