Forward Deployed Engineer; FDE; Mid​/Senior Level

Applications for this position will be accepted on an ongoing basis.

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

We are hiring Forward Deployed Engineers — experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You’ll work as part of a delivery team, partnering closely with a Deployment Strategist (
Strategic Builder
) to co‑build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customization, and full‑stack deployment — shipping solutions customers depend on.

• AI‑Powered Development:
  Ship real customer solutions, supported by best‑in‑class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day‑to‑day workflow.
• Collaborative Delivery:
  Work alongside Senior Forward Deployed Engineers and a Deployment Strategist. Own real components, benefit from structured mentorship, and have a clear path to leading complex deliveries yourself.
• Frontier Access:
  Work on capabilities most engineers won’t touch for months — spanning Agentforce, data, platform, and headless architectures. Your field insight directly feeds the product teams building them.
• Continuous Innovation:
  Stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and share what you learn with your team and customers.

• Develop AI agents and experiences that take real actions for real organizations.
• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
• Own technical components end‑to‑end: from architecture choice to deployment, validation, and observability in production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output.
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to proofs‑of‑concept and MVPs that move from sketch to deployable in days, not months.
• Co‑build alongside customers and partners, sharing best practices and enablement as you go, leaving teams more capable after each engagement.
• Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real‑world experience is the product feedback loop.
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.

• 3+ years (6–10 years for senior levels) of software engineering or technical delivery experience, with at least one production system you’re proud to walk us through — ideally in an AI tech stack, full‑stack development, or frontier models.
• Degree in Computer Science or a related field.
• Prior customer‑facing technical delivery experience (consulting, professional services, or forward‑deployed engineering) — a requirement.
• Fluency in at least one of Python, JavaScript/Type Script, Java, or Apex, and willingness to expand as needed.
• Hands‑on experience with LLMs and prompt engineering, able to explain prompt failures and propose changes.
• Deep understanding of data modeling, APIs, and integration patterns to design them, not just consume them.
• Ability to hold your own in a room with sales teams and customer architects.
• Ship quality code and evaluate AI outputs with engineering rigor.
• Actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with…