Product Deployed Engineer

Salesforce•San Francisco, CA

6d•Hybrid

About The Position

Salesforce is seeking a Product Deployed Engineer to join the Customer Engineering team, which focuses on product hardening for Service Cloud and Agentforce. This role involves embedding senior engineers with lighthouse customers to deploy Agentforce Service capabilities in production, identify product-level issues, and drive improvements. The goal is to ensure successful customer deployments and contribute to the Agentforce product roadmap through field learnings. This is a senior product engineering role with direct customer impact.

Requirements

8+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS.
Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversancy in others. Ability to solve problems regardless of the specific technical stack.
Hands-on production experience with AI technologies, machine learning, NLP, and LLMs (prompt engineering, grounding, RAG, agent orchestration). Ability to diagnose and fix issues at both customer and platform levels.
Extensive, deep understanding of the Salesforce platform and ecosystem (Agentforce, Apex, LWC, Flows, APIs).
Exceptional analytical skills with a passion for customer success and a strong desire to help customers achieve their goals through AI innovation.
Proactive, self-starter with an entrepreneurial, "get-things-done" mindset, driving fast delivery with strong ownership.
Track record of working effectively in cross-functional teams to create reusable assets (frameworks, playbooks, internal tooling).
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
Ability to thrive in a fast-paced, dynamic environment and adapt to change.
Willingness to travel ~25% of the time to build strong relationships while embedded with customer engineering teams on-site.

Nice To Haves

Salesforce certifications: Platform Developer I/II, Agentforce Specialist, System Architect, Data Cloud.
Deep experience in data modeling, processing, and AI readiness across Salesforce Data Cloud, Snowflake, Databricks, or equivalent platforms.
Experience with agent frameworks: LangChain, LlamaIndex, or equivalent orchestration patterns.
Familiarity with DevOps/CI/CD practices, observability tooling, and data governance in enterprise environments.
Prior customer-facing technical delivery experience: consulting, FDE, or professional services.
Open-source contributions, published technical writing, or conference presentations.

Responsibilities

Embed with selected lighthouse customers across Agentforce Service use cases (Help Agent, Voice, NGA/Script, Service Rep Assistant, Agentic Self Service) and get them live in production.
Own technical delivery end-to-end: architecture decisions, agent logic, integration design, deployment, and production validation.
Resolve customer blockers at the product level by shipping fixes into the Agentforce codebase, aiming for 80%+ of blockers resolved via product code.
Design and build agentic systems on the Agentforce platform, including agent topics and actions, tool calls, multi-agent orchestration, MCP, and enterprise-grade integration patterns.
Own the data lifecycle for each deployment: knowledge readiness, data modeling, pipeline design, and AI readiness.
Contribute field learnings, reusable skills, and observability patterns to the Agentforce product team.
Surface platform gaps and edge cases directly to Product & Engineering.
Mentor engineers within the pod through code reviews, paired sessions, and shared delivery.
Operate at 3x engineering productivity using AI-tooled delivery practices with tools like Cursor, Claude, and Salesforce coding products.