Note: The job is a remote job and is open to candidates in USA. Salesforce is the #1 AI CRM, focused on driving customer success through innovation and trust. The AFD360 Solution Engineer will act as a trusted advisor, leading technical discovery and guiding customers in operationalizing Data, AI, and Trust to achieve successful outcomes.

Responsibilities

• Design and run workshops, demos, and time-boxed POCs/pilots—scope the work, define success metrics, execute, and deliver a clean handoff to production lanes
• Lead deep technical + business discovery to scope MVP agentic use cases—translate outcomes/ROI into an executable architecture and activation plan
• Build secure, scalable Agentforce + Data Cloud solutions to validate technical feasibility and production readiness
• Drive activation—partner with customers on agent definition, configuration, and deployment strategy to accelerate production readiness
• De-risk the path to value—assess feasibility across data, security/compliance, orchestration, and operational readiness to ensure the selected use case can scale and be adopted by real users
• Serve as an expert technical overlay for internal teams and customers—accelerate scalable agent builds while enabling a self-sufficient agentic capability through reusable patterns, guardrails, and enablement
• Evangelize Agentforce enablement across REG—socialize current capabilities, roadmap updates, and best practices; capture and scale field learnings
• Work closely with Product, FDE, and cross-OU AI SMEs to continuously sharpen technical depth, close skill gaps, and influence roadmap through structured feedback loops
• Identify automation and process improvement opportunities—intake both process and technical requirements to remove friction and accelerate activation
• Monitor early consumption/performance; advise on optimization and consumption plan updates
• Understand consumption levers and model anticipated consumption spend based on architecture and usage patterns
• Own a crisp POC→production transition—coordinate accountable delivery lanes (customer CoE, SI, ProServ, FDE, CS) and execute clean handoffs to ensure durable activation and scalable outcomes
• Build reusable accelerators (POC assets, playbooks, best practices) and enable others to scale delivery
• Drive Voice of the Customer into Product; inform messaging/plays with Product Marketing
• Represent Salesforce at customer/industry events (Dreamforce, World Tours, etc.)

Skills

• 7+ years customer-facing solution/technical architecture (pre-sales, consulting, implementation) with increasing scope/influence
• Hands-on Agentforce (AI) and Data Cloud builder who can prototype and unblock (deep expertise with platform patterns; building workflows/automation and guiding agent build and data 360 best practices)
• Agentic + AI fluency: practical understanding of LLMs, RAG/grounding, evaluation concepts, and how agentic systems behave in production (safety, reliability, governance)
• Deep discovery + MVP scoping: ability to run technical & business discovery to define MVP agentic use cases, success metrics, and a feasible execution plan
• Enterprise data/integration fundamentals: APIs/integration patterns, governance/security, and the ability to assess data readiness and architectural feasibility
• Executive + technical communication: able to lead whiteboards and communicate with developers and C-suite with equal fluency—translate architecture to outcomes/ROI
• Proven POC/pilot leadership: designs time-boxed proof points with measurable success criteria and clean transition to production lanes
• Growth mindset: willingness to continually sharpen technical/advisory skills through required enablement, labs, courses, and certifications
• Deep Data Cloud specialization: ingestion, modeling/harmonization, identity resolution, activation patterns; strong data architecture vocabulary (ETL/ELT, MDM, lake vs warehouse vs OLTP/OLAP)
• Strong engineering depth: Apex and Lightning Web Components (or equivalent) and comfort operating across the SDLC; experience with 'vibe coding' tooling is a plus
• SQL and/or Python proficiency (Jupyter/pandas helpful) and comfort with modern cloud data platforms/analytics tooling (Snowflake/Databricks/BigQuery; Tableau/Looker/Power BI)
• Experience with other agent platforms (e.g., Gemini/Agentspace or similar) and broader AI automation implementations
• Consumption/business modeling: understands consumption levers and can map anticipated consumption spend from architecture/usage patterns (especially valuable for internal candidates)
• Regulated industry background: HLS and/or FINS experience strongly preferred
• Salesforce certifications (AI Specialist, Data Cloud Consultant, Admin/Advanced Admin, App Dev)

Benefits

• Time off programs
• Medical
• Dental
• Vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

Company Overview

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