AI Builder Partner Solutions
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Job Description
Technical Builder for Salesforce's AI solutions, focused on building implementations and reusable assets for customers. Collaborating with partner teams to drive AI-driven solutions and enhance customer confidence.
Responsibilities:
- 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:
- 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:
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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