Description

Product Forward Deployed Engineer

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

About the Role

The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. We embed directly with our most strategic customers to validate emerging AI capabilities, harden the platform under real-world conditions, and transform every field insight into repeatable patterns that shape the product roadmap.

Most technical roles ask you to implement what already exists. This role asks you to define what comes next. You'll work with AI features before they're named, solve problems before there are playbooks, and build the artifacts that the rest of the field will use for years. Your work doesn't just help one customer — it hardens the agentic platform for every customer that comes after.

The ideal candidate brings high agency and self-motivation to ambiguous, high-stakes environments. You thrive when there's no established answer, move fast without losing rigor, and treat every customer engagement as a learning opportunity that makes the platform better for everyone. You're endlessly curious, quick to adapt, and energized by problems that haven't been solved yet.

Your Impact

Research & Field Validation
- Deploy and stress-test pilot features with customers, identifying platform gaps and feeding structured findings back to Technology & Product
- Conduct feasibility research on novel use cases — determining what's possible, what's not, and what needs to change in the product to get there
- Co-develop hypotheses with Technology & Product and design experiments to validate them in the field
- Document and escalate critical engineering issues with detailed evidence packages to accelerate resolution
Customer Engagement
- Lead technical engagement of new products and features
- Embed directly with customer teams to deeply understand their operational environment and architect solutions that solve real problems at scale
- Run rapid prototyping and POC cycles to validate technical feasibility
- Serve as the primary technical advisor and escalation point for your customer portfolio

Product Acceleration & Feedback
- Build reusable accelerators, playbooks, and reference architectures that address critical product gaps and directly shape the agentic platform roadmap
- Partner directly with Product Managers and Engineers to influence roadmap priorities based on evidence captured directly from customers
- Represent the voice of the customer in internal product discussions and planning cycles
- Analyze competitive landscape to identify and validate Salesforce's key differentiators — informing both field engagements and product feedback loops
- Produce thought leadership, best practices, and enablement content that raises the bar for new product releases across the Salesforce community

Required Qualifications

6-8 years of hands-on engagement in enterprise software or SaaS environments, with a strong foundation in Salesforce development.
Exposure to generative AI, RAG, or conversational AI implementations.
Advanced proficiency in Apex, Lightning Web Components, Lightning Flows , JavaScript.
Deep understanding of Salesforce platform architecture including data modeling, security, and sharing frameworks.
Experience designing scalable enterprise solutions and applications
Strong understanding of object-oriented programming and software design principles.
Experience implementing DevOps practices including Salesforce DX, Git, and CI/CD pipelines.
Expertise in automated testing frameworks including Apex unit testing and API testing tools.
Proven ability to debug complex, multi-system technical issues.
Deep expertise in Sales Cloud & Service Cloud
Agentforce delivery: Experience in at least 1 Agentforce implementation Project.
Understanding of agent security and guardrails implementation, including role-based access, prompt safety constraints, and data exposure controls.
Experience supporting agent deployment, testing, and release management, including functional testing, grounding validation, and regression testing across environments.
Ability to troubleshoot agent behaviors including hallucinations, grounding gaps, orchestration failures, and integration errors.
Familiarity with monitoring agent performance, refining prompts, and optimizing response quality based on user feedback and usage analytics.
Strong diagnostic and problem decomposition instincts — able to pinpoint whether a failure is a product bug, a configuration error, or a data issue, even in low-documentation environments
Exceptional written communication skills: able to document builds, failures, and field observations in structured form that Product & Engineering can act on without a follow-up call
Certifications : Salesforce certified Agentforce Specialist, Data 360 Consultant & Platform developer I ,Platform developer II

Preferred Qualifications

Prior experience in an forward deployed engineering, solutions engineering, or embedded technical advisory role
Experience with Salesforce Data 360, Agentforce platform
Deep expertise in enterprise data architecture, security, and integrations, including REST/GraphQL APIs, SaaS platform architecture, and common data integration patterns
Proficiency in one or more programming languages (Python, JavaScript, Apex, or Java)
Experience with product telemetry and observability analysis to identify platform patterns and surface actionable insights
High agency, self-motivation, and agility quotient — you thrive in ambiguous, high-stakes environments, operate without a playbook, and default to experimentation and fast iteration over certainty, treating every challenge as an opportunity to learn and evolve
Experience with CCaaS platforms such as Genesys, NICE CXone, Amazon Connect, or Cisco Webex Contact Center