Engineer conducting structural analysis of rotor blades for wind energy plants. Responsible for design improvement, load requests in production, and certification documentation.
About the role
- Senior Engineer in Product Forward Deployed team validating AI features with customers and shaping the product roadmap at Salesforce. Collaborating with client teams to provide innovative solutions and best practices.
Responsibilities
- 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
- 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
- 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
Requirements
- 8 + years of hands-on engagement in enterprise software or SaaS environments, with a strong foundation in Salesforce development.
- Demonstrated experience deploying AI/LLM-based solutions — including agentic frameworks, prompt engineering, and retrieval-augmented generation (RAG)
- 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
- Translate business requirements into scalable technical architecture, solution blueprints, and phased implementation roadmaps.
- Architect multi-cloud Salesforce implementations spanning Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and industry solutions.
- Design and govern enterprise integration architectures using REST/SOAP, middleware, and event-driven patterns; integrate Salesforce with ERP/Finance/CPQ/Marketing Automation/data platforms.
- Establish enterprise data governance: data quality, enrichment, privacy, retention, and compliance.
- Establish DevOps and release frameworks using Salesforce DX, CI/CD pipelines, Git/version control, environment strategy, and release governance.
- Lead architecture risk assessments, performance impact analysis, and serve as escalation authority for complex issues.
- Experience in at least 2 end-to-end Agentforce projects/AI Projects with involvement in discovery, solution design, implementation, rollout, and defining the customer roadmap for enhancements.
- Hands-on working knowledge across Agentforce capabilities including: Agent development, Agent security / access controls, guardrails, Deployment & environment strategy, testing approach
- Expertise supporting agent deployment, testing, and release management, including functional testing, grounding validation, and regression testing across environments.
- Experience 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
Benefits
- Our benefits and resources support you to find balance and be your best
- AI agents accelerate your impact so you can do your best
Job title
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Tech skills
Location requirements
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