Product Deployed Engineer

• The Customer Engineering team is Salesforce’s zero-to-one product hardening function for Service Cloud and Agentforce. We embed senior engineers directly with a small portfolio of selected lighthouse customers — getting Agentforce Service capabilities live in production, fast, and fixing what we find at the product level
• Every engagement produces two outputs: a working customer deployment and product improvements. Blockers are resolved in the codebase, not in bespoke workarounds. Field learnings feed directly into the Agentforce product roadmap. We sit where engineering sits
• Technical depth required. Customer instinct is essential. Be curious
• We are hiring a Product Deployed Engineer to embed with lighthouse customers across the full Agentforce Service Cloud portfolio — Help Agent, Voice, NGA/Script, Service Rep Assistant, and Self Service. You will own end-to-end delivery within your customer pod: from initial deployment through production hardening. You will resolve the blockers others cannot, ship fixes into the core product, and turn every field learning into a reusable asset the broader Salesforce ecosystem can deploy at scale
• This is not configuration work. This is senior product engineering with a live customer on the other side of every decision
• 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 — shipping fixes into the Agentforce codebase, not into one-off customer workarounds. 80%+ of blockers resolved via product code (the two-check-in model)
• Design and build agentic systems on the Agentforce platform: agent topics and actions, tool calls, multi-agent orchestration, MCP and the integration patterns that hold up in enterprise environments
• 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 — your work becomes the standard others deploy from
• Surface platform gaps and edge cases directly to Product & Engineering. Your real-world production experience is the most credible input to the Agentforce roadmap
• Mentor engineers within your pod through code reviews, paired sessions, and shared delivery. Your engineering standards propagate
• Operate at 3x engineering productivity — 100% AI-tooled with Cursor, Claude, and Salesforce coding products embedded into every delivery
• What Success Looks Like:
• Products get harder and better - we enable scale to be delivered by the eco-system!
• We shrink time to implement driving to <45 days to initial consistent use case
• Lighthouse customers go live on Agentforce Service capabilities
• 80%+ of customer blockers resolved via product code — not bespoke customer workarounds
• Field learnings shipped back into the Agentforce product roadmap each quarter
• Reusable skills, evals, and deployment patterns contributed to the broader Customer Engineering standards library
• 3x engineering productivity maintained through AI-tooled delivery practices

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- Bias for Action: Proactive, self-starter with an entrepreneurial, “get-things-done” mindset. You drive fast delivery and possess strong ownership, but you also have the judgment to know when fast is the wrong call
• Adaptability & Engagement: Thrives in a fast-paced, dynamic environment and is comfortable with change. Excited to travel ~25% of the time, building strong relationships while embedded with customer engineering teams on-site
• Advanced AI Capabilities: Hands-on production experience with AI technologies, machine learning, NLP, and LLMs (prompt engineering, grounding, RAG, agent orchestration). You can diagnose why a solution is failing and ship the fix for both the customer and the core platform
• Communication: Excellent written and verbal communication skills. You communicate clearly and credibly, with the ability to explain complex technical concepts to engineering peers, customer architects, executive stakeholders, and non-technical audiences
• Experience & Technical Foundation: 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
• Programming Expertise: Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex — and conversant in the others. Full-stack/polyglots who can solve problems regardless of the specific technical stack
• Deep Salesforce Expertise: Extensive, deep understanding of the Salesforce platform and ecosystem (Agentforce, Apex, LWC, Flows, APIs). You know the platform well enough to find its edges
• Scalability & Collaboration: Track record of working effectively in cross-functional teams to create reusable assets—frameworks, playbooks, and internal tooling that others build from
• Customer-Centric Problem Solving: Exceptional analytical skills with a passion for customer success. You have a strong desire to help customers achieve their goals through AI innovation, thriving in ambiguity and adapting quickly to new challenges
• Data & Integration: Deep experience in data modeling, processing, and AI readiness — across Salesforce Data Cloud, Snowflake, Databricks, or equivalent platforms
• Salesforce certifications: Platform Developer I/II, Agentforce Specialist, System Architect, Data Cloud
• DevOps: Familiarity with DevOps/CI-CD practices, observability tooling, and data governance in enterprise environments
• Consulting: Prior customer-facing technical delivery: consulting, FDE, or professional services
• Agent Frameworks: Experience with agent frameworks: LangChain, LlamaIndex, or equivalent orchestration patterns
• Industry Presence: Open-source contributions, published technical writing, or conference presentations