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Job Category
Customer Success
Job Details
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. You ship working things and explain them in a way that makes other people more confident, more capable, and more willing to bet on the platform.
You may come from forward deployed engineering, applied AI engineering, solutions engineering, technical consulting, partner engineering, technical founding, or hands-on Salesforce engineering. You are energized by the loop of seeing a real problem, building the right thing inside an early engagement, explaining it clearly, and then collaborating with partner teams to move it with accelerating quality and confidence.
Role SummaryThis 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. The center of gravity is building: agents, on surfaces, using actions/integrations/context, with packaging/evals into deployment patterns. With these elements you provide clear explanations that help field teams trust and reuse the work.
What You Will DoBuild 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.
What Success Looks LikeWithin 90 days, you have:- Shipped at least one working Agentforce implementation inside an active sales cycle that visibly increased partner or customer confidence in Salesforce.
- Built or contributed to a reusable accelerator, repo, or solution kit that another team is already using or extending.
- Created a written or recorded explainer of a real implementation that other builders are reusing.
- Earned trust with at least one strong partner technical team through visible hands-on work.
- Delivered at least one live technical session or co-build with a partner engineering team that produced a reusable artifact or changed their implementation approach.
Within 6 months, you have:- Influenced at least one strategic partner technical team's belief about Salesforce in the AI and data lane.
- Shipped a body of working implementations, reusable assets, and technical content that compounds across multiple engagements.
- Produced evidence of impact through partner reuse, reduced implementation time, active production agents, or measurable contribution to qualified opportunity progression.
Required QualificationsCore (Must-Have)- 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. You use AI-assisted development to move faster and produce higher-quality output, not as a novelty. With Salesforce Headless 360 exposing the entire platform as MCP tools, API endpoints, and CLI commands, the right candidate uses tools like Claude Code or Cursor pointed directly at a live Salesforce org and ships real working implementations faster than anyone building the old way.
Expected (Needed Within 90 Days)- Comfortable building from day 1 in new environments. You can get hands on keyboard inside an unfamiliar partner or customer org and ship working artifacts in your first week.
- 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.
Working Style- Low-ego, partner-empathetic collaboration. You make other builders better and more confident.
- 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.
Preferred Qualifications- Experience with Agentforce in real customer or partner implementations.
- Experience with Data Cloud, MuleSoft, Slack platform, Heroku, or Salesforce CLI-based development.
- Experience building or using MCP servers, agent skills, sub-agents, external tools, or multi-agent workflows.
- Experience with GitHub, CI/CD, testing frameworks, evaluation harnesses, packaging, or developer workflow automation.
- Evidence of reusable technical output such as published repos, blog posts, talks, OSS contributions, or community advisory work.
- Experience as a Forward Deployed Engineer, Applied AI Engineer, Solutions Engineer, technical founder, or hands-on AI implementation lead.
- Experience working with GSIs, RSIs, cloud partners, or enterprise implementation partners.
- Familiarity with secure enterprise patterns for authentication, authorization, data access, logging, observability, and governed write actions.
